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Experience Level
Entry Level
Qualifications
Requirements:- Coursework in computer science, data analysis, and/or data engineering- A strong interest in pursuing a software engineering career and engaging with technology startups- Proficiency in data manipulation using Excel- Experience in scripting or coding with Python to efficiently handle large datasetsPreferred Qualifications:- Knowledge of SQL, including experience in writing queries and managing databases
About the job
Thank you for your interest in joining Uncountable Engineering!
Uncountable is on the lookout for recent graduates eager to embark on a career in data engineering, focusing on the management of customer datasets. Our mission is to transform industrial research and development. We are in search of driven software engineers who can contribute to the creation of tools designed to expedite the development of new chemicals and materials.
Your key responsibilities will include structuring and ingesting customer data into the Uncountable Web Platform, where scientists input and analyze their experimental data. In this role, you will (1) manipulate, transform, and upload R&D data using Python scripts; (2) establish ETL pipelines between Uncountable and customer data warehouses; (3) devise innovative solutions for users to import and export their data. This position requires a creative, analytical thinker with excellent cross-functional communication skills and the capability to analyze large datasets, identifying necessary steps to clean, process, and upload the data onto our platform.
About Uncountable
At Uncountable, we are dedicated to pioneering advancements in industrial research and development. Our innovative approach aims to streamline the processes involved in the creation of new chemicals and materials, making a significant impact on the industry.
Thank you for your interest in joining Uncountable Engineering!Uncountable is on the lookout for recent graduates eager to embark on a career in data engineering, focusing on the management of customer datasets. Our mission is to transform industrial research and development. We are in search of driven software engineers who can contribute to the creation of tools designed to expedite the development of new chemicals and materials.Your key responsibilities will include structuring and ingesting customer data into the Uncountable Web Platform, where scientists input and analyze their experimental data. In this role, you will (1) manipulate, transform, and upload R&D data using Python scripts; (2) establish ETL pipelines between Uncountable and customer data warehouses; (3) devise innovative solutions for users to import and export their data. This position requires a creative, analytical thinker with excellent cross-functional communication skills and the capability to analyze large datasets, identifying necessary steps to clean, process, and upload the data onto our platform.
Thank you for your interest in joining the Uncountable Engineering team!Uncountable is on the lookout for enthusiastic recent graduates eager to embark on a data engineering career focused on managing customer datasets. Our mission is to transform the landscape of industrial research and development. We seek driven software engineers to develop tools that expedite the creation of new chemicals and materials.In this pivotal role, you will structure and ingest customer data into the Uncountable Web Platform, where scientists conduct and analyze their experiments. Your responsibilities will include (1) manipulating, transforming, and uploading R&D data using Python scripts, (2) establishing ETL pipelines between Uncountable and various data warehouses utilized by our customers, and (3) devising innovative solutions for users to import and export their data. This role requires a creative and analytical mindset, strong cross-functional communication skills, and the ability to sift through large datasets to identify necessary steps for data cleaning, processing, and uploading onto our platform.
At Merge Labs, we are at the forefront of scientific innovation, dedicated to harmonizing biological and artificial intelligence to enhance human potential and experiences. Our mission is to pioneer groundbreaking brain-computer interface technologies that communicate with the brain at unprecedented speeds, integrate seamlessly with advanced AI, and ensure safety and accessibility for all users.About Our Team:Our team is committed to transforming advanced brain-computer interface visions into tangible algorithms. By integrating knowledge from synthetic biology, neuroscience, device physics, signal processing, and machine learning, we create effective methodologies to connect human intelligence with artificial intelligence. Our work involves designing experiments, developing analytical frameworks, collecting data, training models, and optimizing performance to construct scalable Brain-AI systems. We prioritize urgency while maintaining a balance between creative exploration and engineering rigor, as we believe that enhancing human ability, agency, and experience is one of the most pressing challenges of our era.Role Overview:As the most senior data engineer on our team, you will take charge of the data pipelines that capture, process, and deliver the essential data driving Merge’s molecular optimization platform. Your role will include converting diverse laboratory outputs into structured, queryable datasets that enable scientific analysis and closed-loop machine learning. Collaborating closely with experimentalists, you will establish data standards and metadata conventions, and work alongside ML engineers to ensure results are integrated into production-grade systems.This position reports to the Head of Software and involves extensive cross-functional collaboration—spanning software engineering, data architecture, and scientific informatics. As part of the Core Software team, you will be supported by infrastructure specialists and will coordinate with the Application Development Lead to ensure comprehensive scientific and user input capture.Your Responsibilities Include:Developing and maintaining ingestion pipelines from laboratory instruments into centralized data storage.Designing schemas and capturing metadata standards for experimental data.Implementing post-processing pipelines to generate analysis-ready datasets for our scientific teams.Setting up monitoring, alerting, and structured logging for data pipelines to ensure optimal operation.
ABOUT MITHRLWe envision a world where innovative drugs and therapies reach patients in months rather than years, expediting breakthroughs that save lives.Mithrl is at the forefront of creating the world's first commercially available AI Co-Scientist—an advanced discovery engine that enables life science teams to transform chaotic biological data into insightful discoveries in mere minutes. Scientists can pose questions in natural language, and Mithrl responds with genuine analysis, innovative targets, and patent-ready reports.Our success is evident:12X year-over-year revenue growthTrusted by leading biotech firms and major pharmaceutical companies across three continentsDriving significant breakthroughs from target discovery to patient outcomes.WHAT YOU WILL DOTake the lead in creating and managing an AI-driven data ingestion and normalization pipeline to assimilate data from diverse sources—ranging from raw Excel/CSV uploads to lab and instrument exports, as well as processed outputs from internal systems.Develop comprehensive schema mapping, coercion, and conversion logic, including units normalization, metadata standardization, variable-name harmonization, addressing vendor-instrument peculiarities, plate-reader formats, reference-genome or annotation updates, and batch-effect corrections.Utilize LLM-driven and classical data-engineering tools to structure semi-structured or messy tabular data, focusing on metadata extraction, inferring column roles/types, cleaning free-text headers, resolving inconsistencies, and preparing final clean datasets.Ensure that all transformations that must occur only once—such as normalization, coercion, and batch-correction—are executed during ingestion, ensuring that downstream analytics and the AI Co-Scientist operate with clean, canonical data.Establish validation, verification, and quality control measures to detect ambiguous, inconsistent, or corrupted data before it enters the platform.Collaborate with product teams, data science/bioinformatics colleagues, and infrastructure engineers to define and uphold data standards, ensuring that pipeline outputs integrate smoothly into downstream analysis and storage systems.WHAT YOU BRINGMust-have:5+ years of experience in data engineering or data wrangling with real-world tabular or semi-structured data.Strong proficiency in Python,
Full-time|$70K/yr - $80K/yr|On-site|New York, San Francisco, Munich, London, Cleveland or Pittsburgh
Uncountable is on the lookout for a passionate Scientific Implementation Associate to integrate science and data into impactful business development. This dynamic role is pivotal in bringing scientists and their research into the Uncountable ecosystem.As an Implementation Associate, you will support both existing and new customers with their implementation initiatives. Your responsibilities include restructuring and contextualizing customer data, designing data structures within Uncountable, and configuring our platform to deliver value across various organizational levels. This role requires a passion for data and materials science, coupled with strong communication and time management skills, enabling you to empathize with a diverse range of users in the R&D landscape.In your first month, you will begin restructuring customer data to support ongoing initiatives, collaborating with our account management team to accurately configure experiments within the platform for scientists.By the end of your third month, you will take charge of leading implementation projects for existing customers, facilitating meetings, collaborating on timelines and deliverables, and ensuring successful new usage within our platform.After six months, you will own the implementation process for a new customer, leading demonstrations, orchestrating meetings, setting timelines, and advocating for product development that addresses the unique needs of our most exciting customers.
Full-time|$90K/yr - $120K/yr|On-site|New York, San Francisco, Munich, London, Cleveland or Pittsburgh
Uncountable is on the lookout for a talented Scientific Implementation Manager who possesses a diverse range of scientific expertise and is eager to transition into a role focused on business development. This position plays a pivotal role in integrating scientific solutions into the Uncountable ecosystem, ensuring that both scientists and their research benefit from our innovative platform.As a Scientific Implementation Manager, your responsibilities will include: (1) Supporting new business development efforts, (2) Leading the implementation of scientific solutions, (3) Restructuring and contextualizing customer data, and (4) Utilizing real-world customer insights to inform product development, thereby enhancing our data structuring tools designed for R&D. This is a dynamic, project-driven role that involves collaboration with customers and engineering teams. The ideal candidate will exhibit a comprehensive understanding of scientific principles, exceptional communication skills, and the capability to empathize with diverse users within the R&D landscape.Within the first 30 days, you will become proficient in understanding and processing new sales leads and onboarded customers. You will collaborate closely with the customer success and sales teams to accurately configure experiments within our platform tailored to the end-users' needs.By the 60-day mark, you will begin leading meetings and demonstrations with existing and prospective customers, conducting scientific due diligence, gathering new data, and iterating on platform configurations in conjunction with clients.Within 90 days, you will assume full responsibility for the implementation process for new and prospective clients. This includes leading demonstrations, orchestrating meetings, setting timelines, and advocating for product development that meets the unique requirements of our most exciting customers.Salary: $90,000 - $120,000 per year, in addition to performance bonuses and equity opportunities.Qualifications and SkillsMaster's degree or at least 3 years of experience in a scientific field such as chemistry, biology, materials science, chemical engineering, or related disciplines.Strong proficiency in data handling, particularly with Excel; knowledge of Python or other programming languages is advantageous.Ability to effectively communicate complex technical concepts in a clear and comprehensible manner.
Full-time|$70K/yr - $80K/yr|On-site|San Francisco, New York
Join Uncountable as a Scientific Implementation Associate and channel your passion for science and data into a rewarding business development career. This pivotal implementation role is designed to seamlessly integrate both scientists and their innovative work within the Uncountable ecosystem.In this dynamic position, you will support both current and new customers with implementation initiatives. Your responsibilities will include restructuring and contextualizing customer data, designing data structures within Uncountable, and configuring our platform to maximize value across organizations. This fast-paced, project-oriented role requires a deep enthusiasm for data and material science, coupled with exceptional communication and time management skills, as you connect with various users across the R&D spectrum.Within the first 30 days, you will begin restructuring customer data to support ongoing implementation efforts and collaborate with our account management team to accurately configure experiments on the platform for scientists.By the end of 90 days, you will lead implementation projects for existing customers, orchestrate meetings, and work alongside the account management team to establish timelines and deliverables, ensuring successful platform adoption.Within 180 days, you will take full ownership of the implementation process for a new customer, leading demos, coordinating meetings, setting timelines, and advocating for product development tailored to meet the unique needs of our most exciting clients.Salary: $70,000 - $80,000 per year, plus performance bonuses and equity opportunities.
Full-time|$90K/yr - $120K/yr|On-site|New York, San Francisco, Munich or London
Uncountable is on the lookout for a dynamic Scientific Implementation Manager who possesses a robust scientific background and is eager to transition into a role in business development. This position is integral to our scientific solutions team, where your extensive scientific knowledge will be pivotal in integrating both scientists and their research into the Uncountable ecosystem.In this fast-paced, project-oriented role, you will (1) support new business development initiatives, (2) spearhead scientific implementation efforts, (3) restructure and contextualize customer data, and (4) leverage real-world customer insights to enhance product development, ultimately creating the most effective data structuring tool for R&D. The role requires not only a deep understanding of scientific principles but also exceptional communication skills and the ability to empathize with a diverse range of users in the R&D landscape.Within your first 30 days, you will take ownership of understanding experimental processes and integrating new sales leads and onboarded customers. Collaborating with both customer success and sales teams, you will adeptly configure experiments within the platform to meet end-user needs.By the 60-day mark, you will begin leading meetings and demonstrations with existing and prospective customers, conducting scientific due diligence, acquiring new data, and iterating platform configurations together with the customer.At the 90-day milestone, you will have assumed responsibility for the implementation process for new and potential customers, leading demonstrations, coordinating meetings, establishing timelines, and advocating for product development that addresses the unique needs of our most valued customers.
About Arena IntelligenceArena Intelligence serves as the premier platform for assessing the effectiveness of AI models in practical applications. Founded by a team of researchers from UC Berkeley’s SkyLab, our mission is to push the boundaries of AI measurement and utilization in real-world scenarios.Every month, millions of users engage with Arena Intelligence to investigate the performance of cutting-edge systems. We actively incorporate feedback from our community to enhance our model evaluations, ensuring they are transparent, rigorous, and centered around human values. Leading organizations and AI research facilities rely on our assessments to gauge real-world reliability, alignment, and impact. Our leaderboards are recognized as the benchmark for AI performance, trusted by industry leaders and influencing global discussions on model reliability and advancement.Our diverse team includes researchers, engineers, academics, and innovators from renowned institutions such as UC Berkeley, Google, Stanford, DeepMind, and Discord. We prioritize truth, agility, and craftsmanship, valuing curiosity and impact over traditional hierarchies. At Arena, we foster an environment where insightful and inquisitive individuals from varied backgrounds can excel. Each team member is a specialist in their area, contributing to a culture of excellence and focus.About the RoleWe are looking for a Scientific Content Lead to uphold and articulate the scientific integrity of the most reliable AI evaluation platform globally. In this role, you will ensure that Arena’s methodologies, data quality standards, and evaluation outcomes are effectively communicated to researchers, labs, policymakers, analysts, and businesses.This position is highly technical and demands cross-functional collaboration. You will collaborate with our research team to translate evaluation science into precise public content, preemptively address methodological criticisms, and maintain Arena’s dedication to transparency and impartiality.Your ResponsibilitiesDevelop and manage Arena’s scientific communications strategy, ensuring that our evaluation methodologies, benchmarks, and data quality practices are accurately represented externally.Steer Arena’s proactive narrative regarding data quality, countering common criticisms and misconceptions with transparency, evidence, and integrity in storytelling.Create foundational explanations of Arena’s measurement strategies, including methods like Bradley-Terry-Luce ranking, confidence intervals, and uncertainty-aware interpretations.Ensure responsible communication of Arena’s leaderboards, clarifying that rankings are statistical estimates, small variances may be noise, and uncertainty must be accounted for in public interpretations.Engage with various stakeholders to foster a deeper understanding of Arena’s scientific contributions and methodologies.
ABOUT MITHRLAt Mithrl, we envision a future where innovative medicines are delivered to patients in mere months instead of years, and where scientific advancements occur at the speed of thought.We are pioneering the world's first commercially available AI Co-Scientist, a transformative discovery engine that rapidly converts complex biological data into actionable insights. Scientists can pose inquiries in natural language, and Mithrl provides comprehensive analyses, novel target suggestions, hypotheses, and patent-ready documentation.Our impressive growth reflects our success:Achieved 12X year-over-year revenue growthTrusted by leading biotech companies and major pharmaceutical firms across three continentsFacilitating significant breakthroughs from target discovery to patient outcomes.ROLE OVERVIEWWe are searching for a QA Engineer specializing in Scientific Software to develop the testing, validation, and monitoring infrastructure that ensures the accuracy and reliability of the Mithrl AI Co-Scientist. This position necessitates a PhD-level scientist or computational biologist who comprehends the intricacies of the drug development lifecycle and possesses practical experience with omics data. A solid scientific foundation is crucial for assessing the biological relevance of Mithrl's outputs.In this role, you will implement automated testing for analysis workflows, data ingestion pipelines, and discovery applications. You will establish CI systems for early regression detection, set up monitoring and alerting for system performance, and ensure every module in Mithrl generates scientifically valid and reproducible outputs. This position is a vital link between scientific knowledge and software quality engineering, essential for maintaining trust in Mithrl's analytical capabilities.If you are a scientist passionate about product reliability, reproducibility, and the validation of machine learning-powered scientific tools, this role offers a uniquely impactful opportunity.KEY RESPONSIBILITIESDevelop automated testing frameworks for data ingestion, analysis modules, discovery applications, and new product features.Create scientific validation frameworks to ensure correctness and reproducibility of machine learning-driven biological analyses.Implement continuous integration workflows that conduct end-to-end tests with every commit, identifying scientific and computational regressions.Establish monitoring and alerting systems to track health, performance, and reliability metrics.
Join Mithrl as a Lead Bioinformatics EngineerAt Mithrl, we envision a future where groundbreaking medicines are swiftly delivered to patients, transforming the landscape of health care.Mithrl is pioneering the world's first commercially available AI Co-Scientist, a revolutionary discovery engine that converts complex biological data into actionable insights in mere minutes. By simply asking questions in natural language, scientists receive immediate responses with comprehensive analyses, innovative targets, hypotheses, and patent-ready reports.Our impressive growth trajectory includes:12X year-over-year revenue growthTrusted by top-tier biotech firms and major pharmaceutical companies across three continentsFacilitating real breakthroughs from target discovery to patient outcomes.About the RoleWe are in search of an innovative Lead Bioinformatics Pipeline Engineer to architect and expand Mithrl’s multimodal scientific processing pipelines. You will be responsible for developing workflows that convert raw biological data into clean, reproducible outputs that fuel Mithrl’s AI Co-Scientist. Your work will encompass a range of modalities including microarray, imaging, spatial transcriptomics, genomics, epigenomics, flow cytometry, and more.This pivotal role lies at the core of our technical infrastructure. You will design Nextflow and nf-core style pipelines, implement modality-specific validation and quality control layers, and collaborate closely with our Tabular Data Team and Knowledge Curation Team to ensure seamless data harmonization, variable ID mapping, and schema alignment. Your contributions will enable scientists to pose inquiries and receive accurate, data-driven answers instantaneously.If you are passionate about constructing robust scientific workflows and tackling high-impact challenges, you will find your place here.
Benchling creates software tools for scientists and biotech companies, supporting research and development across the globe. The platform serves more than 200,000 scientists, including teams at organizations like Sanofi and Moderna, as well as academic research labs. By connecting experiments, structured data, and AI-powered insights, Benchling works to reduce the time it takes for discoveries to reach real-world applications. Role overview This Software Engineer position focuses on integrating advanced scientific AI models into the Benchling platform. The main responsibility is to build a scalable system for hosting and managing scientific models, while also developing frameworks that allow model creators to bring their solutions into the Benchling environment. What you will do Develop and maintain a platform that supports scientific AI models at scale. Create frameworks that make it easier for model developers to contribute to Benchling. Experiment with new technologies to improve model integration and performance. Work closely with internal teams and external partners to deliver solutions. Help shape how scientists design molecules and apply AI in their research workflows. Location This role is based in San Francisco, CA.
About UsAt Rox, we are dedicated to empowering individuals to achieve their greatest potential. Our innovative platform enhances sales efforts through autonomous revenue agents, allowing sellers to prioritize their expertise in selling. Just as coding agents transformed engineering, revenue agents amplify customer interactions.We are revolutionizing the revenue stack by developing the world’s first revenue operating system, encompassing everything from the application layer to systems of context. At Rox, we envision a future where humans evolve into orchestrators while agents handle the complete customer lifecycle.Our solutions support Global 2000 leaders across sectors such as banking, construction, and AI, partnering with industry giants like Ramp and Cognition.Our success stems from a united belief in our mission and an unwavering commitment to making it a reality.The TeamOur world-class team is the backbone of our innovative approach to redefining business operations.Our team members have:Founded and successfully exited companiesHeld top roles at Google, AWS, Confluent, and New RelicWon gold medals in international mathematics competitionsPublished groundbreaking research papersWe are proud to be backed by leading investors, having raised $50 million from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft beautiful experiences.We meticulously focus on every detail, striving to ensure that each interaction not only helps sellers accomplish their tasks but also enhances their experience. We are relentless in our pursuit of excellence, always exploring new ways to delight our sellers.Obsession: Commit unreasonably.We are dedicated to our craft, responding to customer needs proactively and driving value even before they ask. Our commitment to continuous learning and self-improvement is unwavering.Action: Get it done.Execution is key; we prioritize thoughtful yet swift decision-making and immediate delivery. Trust is essential in our field, and we earn it through our actions.
About RoxAt Rox, we are dedicated to empowering individuals to excel in their work.Our innovative platform enhances seller performance with autonomous revenue agents that handle manual tasks, allowing sales professionals to concentrate on their primary role: selling. Just as coding agents exponentially increased engineering productivity, our revenue agents elevate customer engagement.We are revolutionizing the revenue landscape by developing the world’s first revenue operating system, integrating everything from the application layer to the system of context. At Rox, we envision a future where humans become orchestrators, while our agents efficiently manage the complete customer lifecycle.Rox serves Global 2000 leaders across sectors such as banking, hardware, construction, and sovereign AI, while also supporting prominent AI innovators like Ramp and Cognition.This success is built on a steadfast belief in our mission and an unwavering commitment to achieving it.Join Our TeamOur world-class team is the cornerstone of our success, tasked with redefining business operations.Team members have:Founded and exited successful startupsHeld top positions at Google, AWS, Confluent, and New RelicAchieved gold medals in IMO and IOIPublished groundbreaking research papersWe are proud to be backed by top-tier investors, having raised $50M from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft exceptional experiences.Every detail matters; we ensure that each interaction is optimized for the seller’s success and satisfaction. We strive for perfection and continuously seek ways to delight our users.Obsession: Commit without reservation.We are dedicated to our craft, proactively addressing customer needs and constantly improving our skills and products.Action: Deliver results.Execution is key; we prioritize thoughtful, rapid decision-making and immediate delivery, fostering a culture of trust.
About UsAt Imprint, we are transforming the landscape of co-branded credit cards and financial products to be more innovative, rewarding, and brand-centric. We collaborate with distinguished companies such as Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to launch contemporary credit programs that enhance customer loyalty, unlock savings, and stimulate growth. Our platform seamlessly integrates advanced payment infrastructure, intelligent underwriting, and a user-friendly experience, enabling brands to offer impactful financial products without the need to operate as a bank.Co-branded cards represent over $300 billion in annual spending in the U.S., yet many are still reliant on outdated banking systems. Imprint stands out as the modern alternative: adaptable, technology-driven, and tailored for today’s consumers. Supported by renowned investors such as Kleiner Perkins, Thrive Capital, and Khosla Ventures, we are assembling a top-tier team to revolutionize payment methods and foster brand growth. If you're eager to work in a dynamic environment, tackle challenging problems, and make a significant impact, we invite you to join us.Our TeamThe Data Engineering team at Imprint is tasked with developing and expanding the data infrastructure that underpins product innovation, analytics, operations, and machine learning throughout the organization. We are responsible for creating the pipelines, platforms, and processes that enable our stakeholders to trust and leverage data effectively.We are seeking a Data Engineer to advance our modern data architecture and deliver dependable, scalable data solutions. Your contributions will directly influence decision-making and innovation across various business areas—from financial operations to real-time personalization.
At Plaid, we envision a future where financial interactions are seamless and intuitive. We are committed to driving this evolution by crafting innovative tools and experiences that empower thousands of developers to build their own applications. Our platform supports millions of users in achieving healthier financial lives by connecting their financial accounts with the apps and services they love. Collaborating with industry leaders like Venmo, SoFi, numerous Fortune 500 companies, and major banks, Plaid's extensive network encompasses over 12,000 financial institutions across the United States, Canada, the UK, and Europe. Established in 2013 and headquartered in San Francisco, we also have offices in New York, Washington D.C., London, and Amsterdam. #LI-HybridAs a Senior Data Engineer, you will play a pivotal role in our Data Engineering team, which is focused on developing robust golden datasets to enhance our insights-driven product offerings. Data-driven decision-making is at the heart of Plaid's culture, and your expertise will help us scale our data systems while ensuring data accuracy and integrity. You will provide essential tooling and guidance to various teams across engineering, product, and business, enabling them to access and utilize data effectively. Our engineers rely heavily on SQL and Python to create data workflows, employing tools such as DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool for orchestrating data pipelines and defining workflows. Collaborating closely with engineers, product managers, business intelligence, and data analysts, you will contribute to shaping Plaid's data strategy and fostering a data-first mindset. We thrive on an engineering culture that values individual contributions, encouraging bottom-up ideation and empowering our talented team. We seek engineers passionate about making a meaningful impact for our users and customers while growing together as a cohesive team, delivering MVPs, and continuously improving our processes.In this high-impact position, you will empower business leaders to make faster, more informed decisions based on the datasets you create. You will have the opportunity to define the ownership and scope of internal datasets and visualizations across Plaid, an area we aim to develop further by establishing SLAs. This role presents a unique chance to enhance your technical skills and learn best practices from our strong Data Engineering team and the broader Data Platform team. You will collaborate extensively across all teams at Plaid, from Engineering to Product to Marketing and Finance, forging strong cross-functional partnerships.
Full-time|$160K/yr - $210K/yr|On-site|New York, NY, San Francisco, CA or Los Angeles, CA
The OpportunityJoin Enigma at a pivotal moment as we prepare to unveil our next generation of small business intelligence products, informed by years of industry experience. We are in search of a seasoned Senior Data Engineer who will play a crucial role in shaping the future of these innovative products. Your contributions will significantly enhance the accuracy, scalability, and predictive analytics of our data platform, directly impacting our clients' key business strategies.The RoleAs a Senior Data Engineer, your primary responsibility will be to design, construct, and manage our foundational small business data product. You'll work closely with cross-functional teams to develop new product functionalities, starting from raw data sources, through scalable data pipelines and models, to the customer interface. Our culture emphasizes customer focus and complete ownership, measuring your success by the value delivered and the technical excellence of our product.What You’ll DoIdentify and address the unmet needs of our customers through thorough data exploration, prototyping, and evaluation, culminating in the development of robust and maintainable data pipelines.Construct scalable and maintainable data systems that narrate the stories of millions of U.S. small businesses, utilizing tools like Databricks SQL, PySpark, and MLFlow.Leverage our pioneering data infrastructure designed for iterative development and experimentation, utilizing Dagster for orchestration and LakeFS for data version control.Employ a data-driven, first-principles approach to problem-solving, favoring straightforward and elegant solutions while being capable of deploying advanced models and techniques when necessary.Motivate your colleagues to excel while nurturing a collaborative and supportive team environment.What Makes This Role Exciting?Ownership and Impact: Collaborate directly with customers and internal teams to develop product features in a high-trust environment.Technical Challenge: Solve complex data and engineering challenges, balancing innovation speed with scalability and reliability.Learning: Engage with unique, impactful data challenges that demand creative solutions and cutting-edge methodologies.
About Us:At Notion, we empower individuals and teams to create stunning productivity tools tailored to their unique workflows. In a digital landscape crowded with applications and tabs, our platform unifies documents, notes, projects, calendars, and emails—all enhanced with AI capabilities to streamline tasks and provide quick insights. Trusted by millions, including industry leaders like Toyota, Figma, and OpenAI, Notion is chosen for its versatility, helping users optimize their time and resources.We believe in the value of in-person collaboration, making it a cornerstone of our company culture. To foster teamwork, all employees are required to work from our San Francisco office on Mondays, Tuesdays, and Thursdays—our designated Anchor Days. Certain roles may necessitate additional in-office presence.About The Role:As our company expands at an impressive pace, we are on the lookout for skilled Data Engineers to join our finance team. In this role, you will be instrumental in constructing robust datasets and data pipelines that underpin our financial reporting. Your work will bridge our product, financial, and operational systems, creating reliable processes that drive our growth. If you have a passion for data analytics, complex modeling, and innovative problem-solving, we would love to have you on board.What You'll Achieve:Develop essential datasets that act as the definitive sources for Notion’s financial reporting, integrating information from financial systems, business databases, and our product.Collaborate closely with our Finance, Monetization Engineering, Business Intelligence, and Data Science teams to address critical financial analysis and reporting requirements.Design, construct, and oversee data pipelines that not only meet current demands but are also scalable as our data needs grow.Facilitate widespread access to high-quality financial data across the Finance, Staff, and go-to-market teams.Skills You'll Need to Bring:A minimum of 4 years of experience as a data engineer, focusing on building core datasets and supporting various business sectors, particularly in product and high-volume data environments. A strong enthusiasm for analytics use cases, data modeling, and tackling intricate data challenges is essential.Experience in creating integrations and reporting datasets for payment, financial, and business systems such as Stripe, NetSuite, Adaptive, Anaplan, Salesforce, or equivalent.A proactive mindset, with the ability to gather and synthesize high-impact needs from business partners, designing and implementing suitable technical solutions.
Front Careers seeks a Senior Data Engineer based in San Francisco, CA. This position centers on building and maintaining data systems that power analytics and reporting throughout the organization. Key responsibilities Design and maintain data architecture to meet analytics and reporting requirements Develop, optimize, and support data pipelines for reliability and scalability Collaborate with teams across the company to improve data quality, accessibility, and security Enhance and maintain the data infrastructure supporting company operations Role overview This role focuses on ensuring that data flows efficiently and securely, enabling teams to access the information they need for business decisions. The Senior Data Engineer will play a central part in shaping how data is managed and used at Front Careers.
About AlembicAlembic is at the forefront of transforming marketing strategies, demonstrating the actual ROI of marketing initiatives. Our cutting-edge Alembic Marketing Intelligence Platform employs advanced algorithms and AI models to address this longstanding challenge effectively. By joining our team, you'll contribute to the development of tools that deliver unparalleled insights into how marketing influences revenue, empowering a growing roster of Fortune 500 companies to make data-driven decisions with confidence.About the RoleIn your role as a Senior Data Engineer at Alembic, you will play a crucial role in our data platform. You will be responsible for creating scalable and dependable data pipelines, optimizing storage solutions, and facilitating both real-time and batch analytics. Collaborating closely with data scientists, software engineers, and product leaders, you will design and implement robust data architectures that propel our mission forward.Key ResponsibilitiesDesign, develop, and maintain scalable ETL pipelines that efficiently ingest, process, and transform extensive volumes of structured and unstructured data.Optimize data storage solutions utilizing modern data lakehouse architectures and industry best practices to enhance cost-effectiveness, performance, and reliability.Collaborate with data scientists and engineers to seamlessly integrate machine learning models and analytical workloads into production environments.Ensure the integrity, quality, and security of data by implementing monitoring, alerting, and governance best practices.Work with cloud-based data warehouses and distributed data processing frameworks to support our data initiatives.Continuously assess and implement innovative technologies to enhance data infrastructure and operational efficiency.What We’re Looking For10+ years of experience in data engineering, software engineering, or a related field.Strong proficiency in SQL and Python for data processing.Experience with contemporary data warehousing and lakehouse solutions (e.g., Iceberg or similar).Expertise in distributed systems and big data technologies (Apache Spark, Hadoop, Kafka, Flink).Hands-on experience with cloud platforms (AWS, GCP, Azure) and related data services.Deep understanding of data management and governance practices.
Thank you for your interest in joining Uncountable Engineering!Uncountable is on the lookout for recent graduates eager to embark on a career in data engineering, focusing on the management of customer datasets. Our mission is to transform industrial research and development. We are in search of driven software engineers who can contribute to the creation of tools designed to expedite the development of new chemicals and materials.Your key responsibilities will include structuring and ingesting customer data into the Uncountable Web Platform, where scientists input and analyze their experimental data. In this role, you will (1) manipulate, transform, and upload R&D data using Python scripts; (2) establish ETL pipelines between Uncountable and customer data warehouses; (3) devise innovative solutions for users to import and export their data. This position requires a creative, analytical thinker with excellent cross-functional communication skills and the capability to analyze large datasets, identifying necessary steps to clean, process, and upload the data onto our platform.
Thank you for your interest in joining the Uncountable Engineering team!Uncountable is on the lookout for enthusiastic recent graduates eager to embark on a data engineering career focused on managing customer datasets. Our mission is to transform the landscape of industrial research and development. We seek driven software engineers to develop tools that expedite the creation of new chemicals and materials.In this pivotal role, you will structure and ingest customer data into the Uncountable Web Platform, where scientists conduct and analyze their experiments. Your responsibilities will include (1) manipulating, transforming, and uploading R&D data using Python scripts, (2) establishing ETL pipelines between Uncountable and various data warehouses utilized by our customers, and (3) devising innovative solutions for users to import and export their data. This role requires a creative and analytical mindset, strong cross-functional communication skills, and the ability to sift through large datasets to identify necessary steps for data cleaning, processing, and uploading onto our platform.
At Merge Labs, we are at the forefront of scientific innovation, dedicated to harmonizing biological and artificial intelligence to enhance human potential and experiences. Our mission is to pioneer groundbreaking brain-computer interface technologies that communicate with the brain at unprecedented speeds, integrate seamlessly with advanced AI, and ensure safety and accessibility for all users.About Our Team:Our team is committed to transforming advanced brain-computer interface visions into tangible algorithms. By integrating knowledge from synthetic biology, neuroscience, device physics, signal processing, and machine learning, we create effective methodologies to connect human intelligence with artificial intelligence. Our work involves designing experiments, developing analytical frameworks, collecting data, training models, and optimizing performance to construct scalable Brain-AI systems. We prioritize urgency while maintaining a balance between creative exploration and engineering rigor, as we believe that enhancing human ability, agency, and experience is one of the most pressing challenges of our era.Role Overview:As the most senior data engineer on our team, you will take charge of the data pipelines that capture, process, and deliver the essential data driving Merge’s molecular optimization platform. Your role will include converting diverse laboratory outputs into structured, queryable datasets that enable scientific analysis and closed-loop machine learning. Collaborating closely with experimentalists, you will establish data standards and metadata conventions, and work alongside ML engineers to ensure results are integrated into production-grade systems.This position reports to the Head of Software and involves extensive cross-functional collaboration—spanning software engineering, data architecture, and scientific informatics. As part of the Core Software team, you will be supported by infrastructure specialists and will coordinate with the Application Development Lead to ensure comprehensive scientific and user input capture.Your Responsibilities Include:Developing and maintaining ingestion pipelines from laboratory instruments into centralized data storage.Designing schemas and capturing metadata standards for experimental data.Implementing post-processing pipelines to generate analysis-ready datasets for our scientific teams.Setting up monitoring, alerting, and structured logging for data pipelines to ensure optimal operation.
ABOUT MITHRLWe envision a world where innovative drugs and therapies reach patients in months rather than years, expediting breakthroughs that save lives.Mithrl is at the forefront of creating the world's first commercially available AI Co-Scientist—an advanced discovery engine that enables life science teams to transform chaotic biological data into insightful discoveries in mere minutes. Scientists can pose questions in natural language, and Mithrl responds with genuine analysis, innovative targets, and patent-ready reports.Our success is evident:12X year-over-year revenue growthTrusted by leading biotech firms and major pharmaceutical companies across three continentsDriving significant breakthroughs from target discovery to patient outcomes.WHAT YOU WILL DOTake the lead in creating and managing an AI-driven data ingestion and normalization pipeline to assimilate data from diverse sources—ranging from raw Excel/CSV uploads to lab and instrument exports, as well as processed outputs from internal systems.Develop comprehensive schema mapping, coercion, and conversion logic, including units normalization, metadata standardization, variable-name harmonization, addressing vendor-instrument peculiarities, plate-reader formats, reference-genome or annotation updates, and batch-effect corrections.Utilize LLM-driven and classical data-engineering tools to structure semi-structured or messy tabular data, focusing on metadata extraction, inferring column roles/types, cleaning free-text headers, resolving inconsistencies, and preparing final clean datasets.Ensure that all transformations that must occur only once—such as normalization, coercion, and batch-correction—are executed during ingestion, ensuring that downstream analytics and the AI Co-Scientist operate with clean, canonical data.Establish validation, verification, and quality control measures to detect ambiguous, inconsistent, or corrupted data before it enters the platform.Collaborate with product teams, data science/bioinformatics colleagues, and infrastructure engineers to define and uphold data standards, ensuring that pipeline outputs integrate smoothly into downstream analysis and storage systems.WHAT YOU BRINGMust-have:5+ years of experience in data engineering or data wrangling with real-world tabular or semi-structured data.Strong proficiency in Python,
Full-time|$70K/yr - $80K/yr|On-site|New York, San Francisco, Munich, London, Cleveland or Pittsburgh
Uncountable is on the lookout for a passionate Scientific Implementation Associate to integrate science and data into impactful business development. This dynamic role is pivotal in bringing scientists and their research into the Uncountable ecosystem.As an Implementation Associate, you will support both existing and new customers with their implementation initiatives. Your responsibilities include restructuring and contextualizing customer data, designing data structures within Uncountable, and configuring our platform to deliver value across various organizational levels. This role requires a passion for data and materials science, coupled with strong communication and time management skills, enabling you to empathize with a diverse range of users in the R&D landscape.In your first month, you will begin restructuring customer data to support ongoing initiatives, collaborating with our account management team to accurately configure experiments within the platform for scientists.By the end of your third month, you will take charge of leading implementation projects for existing customers, facilitating meetings, collaborating on timelines and deliverables, and ensuring successful new usage within our platform.After six months, you will own the implementation process for a new customer, leading demonstrations, orchestrating meetings, setting timelines, and advocating for product development that addresses the unique needs of our most exciting customers.
Full-time|$90K/yr - $120K/yr|On-site|New York, San Francisco, Munich, London, Cleveland or Pittsburgh
Uncountable is on the lookout for a talented Scientific Implementation Manager who possesses a diverse range of scientific expertise and is eager to transition into a role focused on business development. This position plays a pivotal role in integrating scientific solutions into the Uncountable ecosystem, ensuring that both scientists and their research benefit from our innovative platform.As a Scientific Implementation Manager, your responsibilities will include: (1) Supporting new business development efforts, (2) Leading the implementation of scientific solutions, (3) Restructuring and contextualizing customer data, and (4) Utilizing real-world customer insights to inform product development, thereby enhancing our data structuring tools designed for R&D. This is a dynamic, project-driven role that involves collaboration with customers and engineering teams. The ideal candidate will exhibit a comprehensive understanding of scientific principles, exceptional communication skills, and the capability to empathize with diverse users within the R&D landscape.Within the first 30 days, you will become proficient in understanding and processing new sales leads and onboarded customers. You will collaborate closely with the customer success and sales teams to accurately configure experiments within our platform tailored to the end-users' needs.By the 60-day mark, you will begin leading meetings and demonstrations with existing and prospective customers, conducting scientific due diligence, gathering new data, and iterating on platform configurations in conjunction with clients.Within 90 days, you will assume full responsibility for the implementation process for new and prospective clients. This includes leading demonstrations, orchestrating meetings, setting timelines, and advocating for product development that meets the unique requirements of our most exciting customers.Salary: $90,000 - $120,000 per year, in addition to performance bonuses and equity opportunities.Qualifications and SkillsMaster's degree or at least 3 years of experience in a scientific field such as chemistry, biology, materials science, chemical engineering, or related disciplines.Strong proficiency in data handling, particularly with Excel; knowledge of Python or other programming languages is advantageous.Ability to effectively communicate complex technical concepts in a clear and comprehensible manner.
Full-time|$70K/yr - $80K/yr|On-site|San Francisco, New York
Join Uncountable as a Scientific Implementation Associate and channel your passion for science and data into a rewarding business development career. This pivotal implementation role is designed to seamlessly integrate both scientists and their innovative work within the Uncountable ecosystem.In this dynamic position, you will support both current and new customers with implementation initiatives. Your responsibilities will include restructuring and contextualizing customer data, designing data structures within Uncountable, and configuring our platform to maximize value across organizations. This fast-paced, project-oriented role requires a deep enthusiasm for data and material science, coupled with exceptional communication and time management skills, as you connect with various users across the R&D spectrum.Within the first 30 days, you will begin restructuring customer data to support ongoing implementation efforts and collaborate with our account management team to accurately configure experiments on the platform for scientists.By the end of 90 days, you will lead implementation projects for existing customers, orchestrate meetings, and work alongside the account management team to establish timelines and deliverables, ensuring successful platform adoption.Within 180 days, you will take full ownership of the implementation process for a new customer, leading demos, coordinating meetings, setting timelines, and advocating for product development tailored to meet the unique needs of our most exciting clients.Salary: $70,000 - $80,000 per year, plus performance bonuses and equity opportunities.
Full-time|$90K/yr - $120K/yr|On-site|New York, San Francisco, Munich or London
Uncountable is on the lookout for a dynamic Scientific Implementation Manager who possesses a robust scientific background and is eager to transition into a role in business development. This position is integral to our scientific solutions team, where your extensive scientific knowledge will be pivotal in integrating both scientists and their research into the Uncountable ecosystem.In this fast-paced, project-oriented role, you will (1) support new business development initiatives, (2) spearhead scientific implementation efforts, (3) restructure and contextualize customer data, and (4) leverage real-world customer insights to enhance product development, ultimately creating the most effective data structuring tool for R&D. The role requires not only a deep understanding of scientific principles but also exceptional communication skills and the ability to empathize with a diverse range of users in the R&D landscape.Within your first 30 days, you will take ownership of understanding experimental processes and integrating new sales leads and onboarded customers. Collaborating with both customer success and sales teams, you will adeptly configure experiments within the platform to meet end-user needs.By the 60-day mark, you will begin leading meetings and demonstrations with existing and prospective customers, conducting scientific due diligence, acquiring new data, and iterating platform configurations together with the customer.At the 90-day milestone, you will have assumed responsibility for the implementation process for new and potential customers, leading demonstrations, coordinating meetings, establishing timelines, and advocating for product development that addresses the unique needs of our most valued customers.
About Arena IntelligenceArena Intelligence serves as the premier platform for assessing the effectiveness of AI models in practical applications. Founded by a team of researchers from UC Berkeley’s SkyLab, our mission is to push the boundaries of AI measurement and utilization in real-world scenarios.Every month, millions of users engage with Arena Intelligence to investigate the performance of cutting-edge systems. We actively incorporate feedback from our community to enhance our model evaluations, ensuring they are transparent, rigorous, and centered around human values. Leading organizations and AI research facilities rely on our assessments to gauge real-world reliability, alignment, and impact. Our leaderboards are recognized as the benchmark for AI performance, trusted by industry leaders and influencing global discussions on model reliability and advancement.Our diverse team includes researchers, engineers, academics, and innovators from renowned institutions such as UC Berkeley, Google, Stanford, DeepMind, and Discord. We prioritize truth, agility, and craftsmanship, valuing curiosity and impact over traditional hierarchies. At Arena, we foster an environment where insightful and inquisitive individuals from varied backgrounds can excel. Each team member is a specialist in their area, contributing to a culture of excellence and focus.About the RoleWe are looking for a Scientific Content Lead to uphold and articulate the scientific integrity of the most reliable AI evaluation platform globally. In this role, you will ensure that Arena’s methodologies, data quality standards, and evaluation outcomes are effectively communicated to researchers, labs, policymakers, analysts, and businesses.This position is highly technical and demands cross-functional collaboration. You will collaborate with our research team to translate evaluation science into precise public content, preemptively address methodological criticisms, and maintain Arena’s dedication to transparency and impartiality.Your ResponsibilitiesDevelop and manage Arena’s scientific communications strategy, ensuring that our evaluation methodologies, benchmarks, and data quality practices are accurately represented externally.Steer Arena’s proactive narrative regarding data quality, countering common criticisms and misconceptions with transparency, evidence, and integrity in storytelling.Create foundational explanations of Arena’s measurement strategies, including methods like Bradley-Terry-Luce ranking, confidence intervals, and uncertainty-aware interpretations.Ensure responsible communication of Arena’s leaderboards, clarifying that rankings are statistical estimates, small variances may be noise, and uncertainty must be accounted for in public interpretations.Engage with various stakeholders to foster a deeper understanding of Arena’s scientific contributions and methodologies.
ABOUT MITHRLAt Mithrl, we envision a future where innovative medicines are delivered to patients in mere months instead of years, and where scientific advancements occur at the speed of thought.We are pioneering the world's first commercially available AI Co-Scientist, a transformative discovery engine that rapidly converts complex biological data into actionable insights. Scientists can pose inquiries in natural language, and Mithrl provides comprehensive analyses, novel target suggestions, hypotheses, and patent-ready documentation.Our impressive growth reflects our success:Achieved 12X year-over-year revenue growthTrusted by leading biotech companies and major pharmaceutical firms across three continentsFacilitating significant breakthroughs from target discovery to patient outcomes.ROLE OVERVIEWWe are searching for a QA Engineer specializing in Scientific Software to develop the testing, validation, and monitoring infrastructure that ensures the accuracy and reliability of the Mithrl AI Co-Scientist. This position necessitates a PhD-level scientist or computational biologist who comprehends the intricacies of the drug development lifecycle and possesses practical experience with omics data. A solid scientific foundation is crucial for assessing the biological relevance of Mithrl's outputs.In this role, you will implement automated testing for analysis workflows, data ingestion pipelines, and discovery applications. You will establish CI systems for early regression detection, set up monitoring and alerting for system performance, and ensure every module in Mithrl generates scientifically valid and reproducible outputs. This position is a vital link between scientific knowledge and software quality engineering, essential for maintaining trust in Mithrl's analytical capabilities.If you are a scientist passionate about product reliability, reproducibility, and the validation of machine learning-powered scientific tools, this role offers a uniquely impactful opportunity.KEY RESPONSIBILITIESDevelop automated testing frameworks for data ingestion, analysis modules, discovery applications, and new product features.Create scientific validation frameworks to ensure correctness and reproducibility of machine learning-driven biological analyses.Implement continuous integration workflows that conduct end-to-end tests with every commit, identifying scientific and computational regressions.Establish monitoring and alerting systems to track health, performance, and reliability metrics.
Join Mithrl as a Lead Bioinformatics EngineerAt Mithrl, we envision a future where groundbreaking medicines are swiftly delivered to patients, transforming the landscape of health care.Mithrl is pioneering the world's first commercially available AI Co-Scientist, a revolutionary discovery engine that converts complex biological data into actionable insights in mere minutes. By simply asking questions in natural language, scientists receive immediate responses with comprehensive analyses, innovative targets, hypotheses, and patent-ready reports.Our impressive growth trajectory includes:12X year-over-year revenue growthTrusted by top-tier biotech firms and major pharmaceutical companies across three continentsFacilitating real breakthroughs from target discovery to patient outcomes.About the RoleWe are in search of an innovative Lead Bioinformatics Pipeline Engineer to architect and expand Mithrl’s multimodal scientific processing pipelines. You will be responsible for developing workflows that convert raw biological data into clean, reproducible outputs that fuel Mithrl’s AI Co-Scientist. Your work will encompass a range of modalities including microarray, imaging, spatial transcriptomics, genomics, epigenomics, flow cytometry, and more.This pivotal role lies at the core of our technical infrastructure. You will design Nextflow and nf-core style pipelines, implement modality-specific validation and quality control layers, and collaborate closely with our Tabular Data Team and Knowledge Curation Team to ensure seamless data harmonization, variable ID mapping, and schema alignment. Your contributions will enable scientists to pose inquiries and receive accurate, data-driven answers instantaneously.If you are passionate about constructing robust scientific workflows and tackling high-impact challenges, you will find your place here.
Benchling creates software tools for scientists and biotech companies, supporting research and development across the globe. The platform serves more than 200,000 scientists, including teams at organizations like Sanofi and Moderna, as well as academic research labs. By connecting experiments, structured data, and AI-powered insights, Benchling works to reduce the time it takes for discoveries to reach real-world applications. Role overview This Software Engineer position focuses on integrating advanced scientific AI models into the Benchling platform. The main responsibility is to build a scalable system for hosting and managing scientific models, while also developing frameworks that allow model creators to bring their solutions into the Benchling environment. What you will do Develop and maintain a platform that supports scientific AI models at scale. Create frameworks that make it easier for model developers to contribute to Benchling. Experiment with new technologies to improve model integration and performance. Work closely with internal teams and external partners to deliver solutions. Help shape how scientists design molecules and apply AI in their research workflows. Location This role is based in San Francisco, CA.
About UsAt Rox, we are dedicated to empowering individuals to achieve their greatest potential. Our innovative platform enhances sales efforts through autonomous revenue agents, allowing sellers to prioritize their expertise in selling. Just as coding agents transformed engineering, revenue agents amplify customer interactions.We are revolutionizing the revenue stack by developing the world’s first revenue operating system, encompassing everything from the application layer to systems of context. At Rox, we envision a future where humans evolve into orchestrators while agents handle the complete customer lifecycle.Our solutions support Global 2000 leaders across sectors such as banking, construction, and AI, partnering with industry giants like Ramp and Cognition.Our success stems from a united belief in our mission and an unwavering commitment to making it a reality.The TeamOur world-class team is the backbone of our innovative approach to redefining business operations.Our team members have:Founded and successfully exited companiesHeld top roles at Google, AWS, Confluent, and New RelicWon gold medals in international mathematics competitionsPublished groundbreaking research papersWe are proud to be backed by leading investors, having raised $50 million from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft beautiful experiences.We meticulously focus on every detail, striving to ensure that each interaction not only helps sellers accomplish their tasks but also enhances their experience. We are relentless in our pursuit of excellence, always exploring new ways to delight our sellers.Obsession: Commit unreasonably.We are dedicated to our craft, responding to customer needs proactively and driving value even before they ask. Our commitment to continuous learning and self-improvement is unwavering.Action: Get it done.Execution is key; we prioritize thoughtful yet swift decision-making and immediate delivery. Trust is essential in our field, and we earn it through our actions.
About RoxAt Rox, we are dedicated to empowering individuals to excel in their work.Our innovative platform enhances seller performance with autonomous revenue agents that handle manual tasks, allowing sales professionals to concentrate on their primary role: selling. Just as coding agents exponentially increased engineering productivity, our revenue agents elevate customer engagement.We are revolutionizing the revenue landscape by developing the world’s first revenue operating system, integrating everything from the application layer to the system of context. At Rox, we envision a future where humans become orchestrators, while our agents efficiently manage the complete customer lifecycle.Rox serves Global 2000 leaders across sectors such as banking, hardware, construction, and sovereign AI, while also supporting prominent AI innovators like Ramp and Cognition.This success is built on a steadfast belief in our mission and an unwavering commitment to achieving it.Join Our TeamOur world-class team is the cornerstone of our success, tasked with redefining business operations.Team members have:Founded and exited successful startupsHeld top positions at Google, AWS, Confluent, and New RelicAchieved gold medals in IMO and IOIPublished groundbreaking research papersWe are proud to be backed by top-tier investors, having raised $50M from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft exceptional experiences.Every detail matters; we ensure that each interaction is optimized for the seller’s success and satisfaction. We strive for perfection and continuously seek ways to delight our users.Obsession: Commit without reservation.We are dedicated to our craft, proactively addressing customer needs and constantly improving our skills and products.Action: Deliver results.Execution is key; we prioritize thoughtful, rapid decision-making and immediate delivery, fostering a culture of trust.
About UsAt Imprint, we are transforming the landscape of co-branded credit cards and financial products to be more innovative, rewarding, and brand-centric. We collaborate with distinguished companies such as Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to launch contemporary credit programs that enhance customer loyalty, unlock savings, and stimulate growth. Our platform seamlessly integrates advanced payment infrastructure, intelligent underwriting, and a user-friendly experience, enabling brands to offer impactful financial products without the need to operate as a bank.Co-branded cards represent over $300 billion in annual spending in the U.S., yet many are still reliant on outdated banking systems. Imprint stands out as the modern alternative: adaptable, technology-driven, and tailored for today’s consumers. Supported by renowned investors such as Kleiner Perkins, Thrive Capital, and Khosla Ventures, we are assembling a top-tier team to revolutionize payment methods and foster brand growth. If you're eager to work in a dynamic environment, tackle challenging problems, and make a significant impact, we invite you to join us.Our TeamThe Data Engineering team at Imprint is tasked with developing and expanding the data infrastructure that underpins product innovation, analytics, operations, and machine learning throughout the organization. We are responsible for creating the pipelines, platforms, and processes that enable our stakeholders to trust and leverage data effectively.We are seeking a Data Engineer to advance our modern data architecture and deliver dependable, scalable data solutions. Your contributions will directly influence decision-making and innovation across various business areas—from financial operations to real-time personalization.
At Plaid, we envision a future where financial interactions are seamless and intuitive. We are committed to driving this evolution by crafting innovative tools and experiences that empower thousands of developers to build their own applications. Our platform supports millions of users in achieving healthier financial lives by connecting their financial accounts with the apps and services they love. Collaborating with industry leaders like Venmo, SoFi, numerous Fortune 500 companies, and major banks, Plaid's extensive network encompasses over 12,000 financial institutions across the United States, Canada, the UK, and Europe. Established in 2013 and headquartered in San Francisco, we also have offices in New York, Washington D.C., London, and Amsterdam. #LI-HybridAs a Senior Data Engineer, you will play a pivotal role in our Data Engineering team, which is focused on developing robust golden datasets to enhance our insights-driven product offerings. Data-driven decision-making is at the heart of Plaid's culture, and your expertise will help us scale our data systems while ensuring data accuracy and integrity. You will provide essential tooling and guidance to various teams across engineering, product, and business, enabling them to access and utilize data effectively. Our engineers rely heavily on SQL and Python to create data workflows, employing tools such as DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool for orchestrating data pipelines and defining workflows. Collaborating closely with engineers, product managers, business intelligence, and data analysts, you will contribute to shaping Plaid's data strategy and fostering a data-first mindset. We thrive on an engineering culture that values individual contributions, encouraging bottom-up ideation and empowering our talented team. We seek engineers passionate about making a meaningful impact for our users and customers while growing together as a cohesive team, delivering MVPs, and continuously improving our processes.In this high-impact position, you will empower business leaders to make faster, more informed decisions based on the datasets you create. You will have the opportunity to define the ownership and scope of internal datasets and visualizations across Plaid, an area we aim to develop further by establishing SLAs. This role presents a unique chance to enhance your technical skills and learn best practices from our strong Data Engineering team and the broader Data Platform team. You will collaborate extensively across all teams at Plaid, from Engineering to Product to Marketing and Finance, forging strong cross-functional partnerships.
Full-time|$160K/yr - $210K/yr|On-site|New York, NY, San Francisco, CA or Los Angeles, CA
The OpportunityJoin Enigma at a pivotal moment as we prepare to unveil our next generation of small business intelligence products, informed by years of industry experience. We are in search of a seasoned Senior Data Engineer who will play a crucial role in shaping the future of these innovative products. Your contributions will significantly enhance the accuracy, scalability, and predictive analytics of our data platform, directly impacting our clients' key business strategies.The RoleAs a Senior Data Engineer, your primary responsibility will be to design, construct, and manage our foundational small business data product. You'll work closely with cross-functional teams to develop new product functionalities, starting from raw data sources, through scalable data pipelines and models, to the customer interface. Our culture emphasizes customer focus and complete ownership, measuring your success by the value delivered and the technical excellence of our product.What You’ll DoIdentify and address the unmet needs of our customers through thorough data exploration, prototyping, and evaluation, culminating in the development of robust and maintainable data pipelines.Construct scalable and maintainable data systems that narrate the stories of millions of U.S. small businesses, utilizing tools like Databricks SQL, PySpark, and MLFlow.Leverage our pioneering data infrastructure designed for iterative development and experimentation, utilizing Dagster for orchestration and LakeFS for data version control.Employ a data-driven, first-principles approach to problem-solving, favoring straightforward and elegant solutions while being capable of deploying advanced models and techniques when necessary.Motivate your colleagues to excel while nurturing a collaborative and supportive team environment.What Makes This Role Exciting?Ownership and Impact: Collaborate directly with customers and internal teams to develop product features in a high-trust environment.Technical Challenge: Solve complex data and engineering challenges, balancing innovation speed with scalability and reliability.Learning: Engage with unique, impactful data challenges that demand creative solutions and cutting-edge methodologies.
About Us:At Notion, we empower individuals and teams to create stunning productivity tools tailored to their unique workflows. In a digital landscape crowded with applications and tabs, our platform unifies documents, notes, projects, calendars, and emails—all enhanced with AI capabilities to streamline tasks and provide quick insights. Trusted by millions, including industry leaders like Toyota, Figma, and OpenAI, Notion is chosen for its versatility, helping users optimize their time and resources.We believe in the value of in-person collaboration, making it a cornerstone of our company culture. To foster teamwork, all employees are required to work from our San Francisco office on Mondays, Tuesdays, and Thursdays—our designated Anchor Days. Certain roles may necessitate additional in-office presence.About The Role:As our company expands at an impressive pace, we are on the lookout for skilled Data Engineers to join our finance team. In this role, you will be instrumental in constructing robust datasets and data pipelines that underpin our financial reporting. Your work will bridge our product, financial, and operational systems, creating reliable processes that drive our growth. If you have a passion for data analytics, complex modeling, and innovative problem-solving, we would love to have you on board.What You'll Achieve:Develop essential datasets that act as the definitive sources for Notion’s financial reporting, integrating information from financial systems, business databases, and our product.Collaborate closely with our Finance, Monetization Engineering, Business Intelligence, and Data Science teams to address critical financial analysis and reporting requirements.Design, construct, and oversee data pipelines that not only meet current demands but are also scalable as our data needs grow.Facilitate widespread access to high-quality financial data across the Finance, Staff, and go-to-market teams.Skills You'll Need to Bring:A minimum of 4 years of experience as a data engineer, focusing on building core datasets and supporting various business sectors, particularly in product and high-volume data environments. A strong enthusiasm for analytics use cases, data modeling, and tackling intricate data challenges is essential.Experience in creating integrations and reporting datasets for payment, financial, and business systems such as Stripe, NetSuite, Adaptive, Anaplan, Salesforce, or equivalent.A proactive mindset, with the ability to gather and synthesize high-impact needs from business partners, designing and implementing suitable technical solutions.
Front Careers seeks a Senior Data Engineer based in San Francisco, CA. This position centers on building and maintaining data systems that power analytics and reporting throughout the organization. Key responsibilities Design and maintain data architecture to meet analytics and reporting requirements Develop, optimize, and support data pipelines for reliability and scalability Collaborate with teams across the company to improve data quality, accessibility, and security Enhance and maintain the data infrastructure supporting company operations Role overview This role focuses on ensuring that data flows efficiently and securely, enabling teams to access the information they need for business decisions. The Senior Data Engineer will play a central part in shaping how data is managed and used at Front Careers.
About AlembicAlembic is at the forefront of transforming marketing strategies, demonstrating the actual ROI of marketing initiatives. Our cutting-edge Alembic Marketing Intelligence Platform employs advanced algorithms and AI models to address this longstanding challenge effectively. By joining our team, you'll contribute to the development of tools that deliver unparalleled insights into how marketing influences revenue, empowering a growing roster of Fortune 500 companies to make data-driven decisions with confidence.About the RoleIn your role as a Senior Data Engineer at Alembic, you will play a crucial role in our data platform. You will be responsible for creating scalable and dependable data pipelines, optimizing storage solutions, and facilitating both real-time and batch analytics. Collaborating closely with data scientists, software engineers, and product leaders, you will design and implement robust data architectures that propel our mission forward.Key ResponsibilitiesDesign, develop, and maintain scalable ETL pipelines that efficiently ingest, process, and transform extensive volumes of structured and unstructured data.Optimize data storage solutions utilizing modern data lakehouse architectures and industry best practices to enhance cost-effectiveness, performance, and reliability.Collaborate with data scientists and engineers to seamlessly integrate machine learning models and analytical workloads into production environments.Ensure the integrity, quality, and security of data by implementing monitoring, alerting, and governance best practices.Work with cloud-based data warehouses and distributed data processing frameworks to support our data initiatives.Continuously assess and implement innovative technologies to enhance data infrastructure and operational efficiency.What We’re Looking For10+ years of experience in data engineering, software engineering, or a related field.Strong proficiency in SQL and Python for data processing.Experience with contemporary data warehousing and lakehouse solutions (e.g., Iceberg or similar).Expertise in distributed systems and big data technologies (Apache Spark, Hadoop, Kafka, Flink).Hands-on experience with cloud platforms (AWS, GCP, Azure) and related data services.Deep understanding of data management and governance practices.
Jul 21, 2025
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