Staff Software Engineer - Conversion Data Privacy

Senior Software Engineer - Data AcquisitionOverview:Join the dynamic Data Acquisition team at OpenAI, where we spearhead the data collection efforts essential for powering our advanced model training operations. Our team plays a pivotal role in managing web crawling and GPTBot services, collaborating closely with Data Processing, Architecture, and Scaling teams. We are seeking a talented Senior Software Engineer to enhance our Data Acquisition initiatives.Key Responsibilities:Lead engineering projects focused on data acquisition, including web crawling, data ingestion, and search optimization.Collaborate effectively with cross-functional teams to maintain seamless data flow and system performance.Engage with the legal team to navigate compliance and data privacy regulations.Design and implement robust distributed systems capable of processing petabytes of data.Develop algorithms for efficient data indexing and search functionalities.Build and sustain backend services for data storage, including experience with key-value databases and data synchronization.Deploy solutions in a Kubernetes Infrastructure-as-Code environment while conducting regular system audits.Conduct experiments on data to derive insights that drive system enhancements.Qualifications:Bachelor's, Master's, or PhD in Computer Science or a related discipline.A minimum of 6 years of professional experience in software development.Prior experience with large-scale web crawlers is a significant advantage.In-depth knowledge of large stateful distributed systems and data processing techniques.Expertise in Kubernetes and familiarity with Infrastructure-as-Code practices.A proactive approach to exploring new technologies and methodologies.Strong ability to juggle multiple tasks and adapt to changing priorities.Excellent communication skills, both written and verbal.About OpenAI:OpenAI is at the forefront of artificial intelligence research and deployment, dedicated to ensuring that the benefits of general-purpose AI are shared by all of humanity. We strive to push the boundaries of innovation while adhering to ethical standards.

Overview:Join the dynamic Data Acquisition team at OpenAI, part of our Foundations organization, where you will play a crucial role in the data collection processes that power our model training initiatives. Our team is at the forefront of managing web crawling and GPTBot services, collaborating closely with departments such as Data Processing, Architecture, and Scaling. We are seeking a talented Software Engineer who is passionate about data acquisition and eager to make a significant impact.Key Responsibilities:Lead and innovate engineering projects focused on data acquisition, including web crawling, data ingestion, and search functionalities.Collaborate effectively with cross-functional teams, including Data Processing, Architecture, and Scaling, to ensure seamless data flow and operational efficiency.Partner with the legal team to navigate compliance and data privacy challenges.Design and implement highly scalable distributed systems capable of processing petabytes of data.Architect algorithms for efficient data indexing and robust search capabilities.Build and manage backend services for data storage, including working with key-value databases and ensuring synchronization.Implement solutions within a Kubernetes Infrastructure-as-Code environment and conduct regular system health checks.Conduct experiments and analyze data to derive insights that enhance system performance.Qualifications:Bachelor's, Master's, or PhD in Computer Science or a related field.4+ years of professional software development experience.Familiarity with large-scale web crawlers is a plus.Deep understanding of large stateful distributed systems and data processing methodologies.Proficient in Kubernetes and knowledgeable about Infrastructure-as-Code principles.Eager to explore and implement new technologies and approaches.Proven ability to manage multiple tasks and adapt to shifting priorities.Excellent written and verbal communication skills.About OpenAI:At OpenAI, we are pioneers in AI research and deployment, dedicated to ensuring that the advancements in artificial intelligence benefit humanity as a whole. Our mission is to push the boundaries of AI capabilities while adhering to safe and responsible deployment practices. Join us in our commitment to harnessing the power of AI for positive global impact.

Overview:Join the innovative Data Acquisition team at OpenAI, where we drive the future of AI through advanced data collection techniques. Our mission is to support model training operations by managing web crawling and the GPTBot services. Collaborating with Data Processing, Architecture, and Scaling teams, we are on the lookout for a talented Full-Stack Engineer to enhance our data infrastructure. In this role, you will create and optimize the tools and interfaces that are crucial for our data operations.Responsibilities:Design, develop, and maintain full-stack applications tailored for data acquisition, including internal tools and comprehensive dashboards.Work collaboratively with cross-functional teams, such as Data Processing, Architecture, and Scaling, to facilitate efficient data ingestion and workflow management.Craft and implement APIs that streamline data interactions between internal systems and external data sources.Enhance user experience by creating intuitive web-based interfaces for effective management and monitoring of data pipelines.Optimize backend services focusing on performance, scalability, and security within a distributed computing framework.Collaborate with legal and compliance teams to ensure our data acquisition practices meet privacy regulations and adhere to industry best practices.Deploy and maintain infrastructure leveraging Kubernetes and Infrastructure-as-Code (IaC) methodologies.Analyze system performance, conduct thorough experiments, and refine data workflows to drive operational efficiency.Qualifications:Bachelor's, Master's, or PhD in Computer Science or a related discipline.4+ years of professional experience in full-stack development.Expertise in frontend frameworks (e.g., React, Vue) as well as backend technologies like Python, Node.js, or Go.Strong command of RESTful APIs, GraphQL, and database design (both SQL and NoSQL).Experience in developing data-intensive applications capable of managing large-scale datasets.Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration technologies (Kubernetes, Docker).Previous experience in web crawling and large-scale data processing is advantageous.Exceptional problem-solving abilities and adeptness at juggling multiple tasks in a dynamic environment.Outstanding communication and collaboration skills.

Join the Fluidstack TeamAt Fluidstack, we are revolutionizing the infrastructure that empowers artificial intelligence. Our collaborations with leading AI labs, government entities, and major enterprises like Mistral, Poolside, Black Forest Labs, and Meta enable us to deliver computational power at unprecedented speeds.Our mission is to turn artificial general intelligence (AGI) into reality. We pride ourselves on our commitment to excellence and our focus on creating a world-class infrastructure. Our dedication to our customers’ success drives us to build exceptional systems that foster trust and efficiency. If you are passionate about making a difference, striving for excellence, and ready to work diligently to shape the future of intelligence, we invite you to join our innovative team.Your RoleWe are seeking a Software Engineer to play a pivotal role in developing the technological backbone of Fluidstack's talent acquisition and human resource operations. This position focuses on the complete talent lifecycle, where you'll be responsible for designing, developing, and implementing internal tools and integrations that enhance the efficiency of our recruiters, empower hiring managers with data-driven insights, and accelerate the onboarding process for new hires. You'll work closely with ATS and HRIS platforms, as well as the broader HR tech ecosystem, and leverage AI tools to create tailored solutions when existing tools fall short. Given the rapid pace and scale of our hiring, this role is crucial for fostering our growth.Key ResponsibilitiesLead the talent tooling roadmap: Collaborate with Recruitment and People Operations to define scope, design, implement, and deploy solutions.Develop and sustain integrations: Connect with tools like Ashby and Rippling, streamline data access, and minimize manual tasks.Create internal recruiting workflows: Design candidate pipeline dashboards, interview scheduling automation, offer letter generation, headcount planning views, and onboarding checklists.Enhance talent funnel analytics: Build dashboards to provide real-time insights into key metrics such as time-to-fill, offer acceptance rates, funnel conversion, and retention indicators.Automate HR processes: Simplify onboarding, e-signature routing, and data synchronization across ATS, HRIS, and IT systems.Implement AI-driven recruiting features: Develop intelligent candidate matching, automated scorecard summaries, job description drafting tools, and sourcing enhancement pipelines.

About Our TeamAt DoorDash, data drives our success. Our Data Engineering team is pivotal in building robust database solutions tailored for diverse applications, including reporting, product analytics, marketing optimization, and financial reporting. By architecting pipelines, data structures, and data warehouse environments, we enable data-driven decision-making across the organization.About the RoleWe are seeking a talented Software Engineer II to join our team as a technical leader, responsible for scaling our data infrastructure, enhancing automation, and developing tools to support our expanding business needs.What You Will DoCollaborate with business partners and stakeholders to gather and understand data requirements.Work alongside engineering, product teams, and external partners to ensure seamless data collection.Design, develop, and implement high-performance data models and pipelines for our Data Lake and Data Warehouse.Establish and execute data quality checks, conduct thorough QA, and implement monitoring routines.Enhance the reliability and scalability of our ETL processes.Manage a suite of data products that deliver accurate and trustworthy data.Support and onboard new engineers as they join our team.What We Are Looking For3+ years of professional experience in data engineering, business intelligence, or a related field.Proficiency in programming languages such as Python and Java.3+ years of experience with ETL orchestration and workflow management tools, including Airflow, Flink, Oozie, and Azkaban, using AWS/GCP platforms.Strong understanding of database fundamentals, SQL, and distributed computing.3+ years of experience with distributed data ecosystems (e.g., Spark, Hive, Druid, Presto) and streaming technologies like Kafka and Flink.Experience with Snowflake, Redshift, PostgreSQL, and/or other database management systems.Excellent communication skills with a proven ability to liaise with both technical and non-technical teams.Familiarity with reporting tools such as Tableau, Superset, and Looker.Able to thrive in a fast-paced and dynamic environment.

About CondorAt Condor, we are transforming the financial infrastructure of clinical development. While substantial investments are made annually to discover and develop new therapies, the processes behind these advancements often remain outdated and disconnected. Our mission is to bridge this gap, creating a cohesive system that integrates clinical operations, vendor activities, and financial data into a real-time intelligence layer. This empowers R&D and finance teams with the insights they need to make informed decisions.Our AI-driven, pharma-native infrastructure is designed to scale industry standards that we have helped shape alongside major partners. We facilitate prediction, control, and execution in some of the most complex R&D environments globally.As we continue to gain the trust of enterprise teams, we are now focused on the critical task of scaling our operations in a high-stakes environment.Condor is a rapidly growing company, backed by leading institutional investors such as Felicis and 645 Ventures, collaborating with top 200 biopharma companies. This is a unique opportunity to contribute to the infrastructure that influences how new therapies reach patients.The RoleWe are seeking a Senior Backend and Data Platform Engineer to play a key role in developing the foundational data infrastructure for Condor’s financial intelligence platform. This position is pivotal in turning complex clinical and financial data into actionable intelligence that enterprise biopharma teams can rely on.In this role, you will be responsible for designing and managing the core data foundations that underpin Condor’s financial engine and AI capabilities. Your work will involve modeling intricate, high-stakes data, constructing reliable data pipelines and services, and ensuring that product features and intelligence workflows function with precision, consistency, and scalability. The systems you develop will directly support critical finance and operational applications.This hands-on, senior engineering position provides you with significant ownership. You will engage with backend services, data pipelines, and APIs, bringing features from concept to production. You will define necessary data schemas, transformations, and architectural patterns that become essential as our platform evolves. Although your primary focus will be on backend and data engineering, you will also be encouraged to work across the stack to ensure seamless integration of data and intelligence.

Role Overview sfcompute is hiring a Software Engineer focused on ETL and Data in San Francisco, CA. This position centers on building and maintaining data pipelines that turn raw data into actionable insights. What You Will Do Design and implement ETL processes to move and transform data efficiently Work with teams across the company to improve data quality and accessibility Support data-driven decision-making by ensuring reliable and accurate information is available

Founded in 2007, Airbnb began its journey when two hosts welcomed three guests into their San Francisco home. Today, we boast a thriving community of over 5 million hosts who have welcomed more than 2 billion guest arrivals across nearly every country worldwide. Our hosts provide exceptional stays and unique experiences, enabling guests to connect with local communities in a genuine and meaningful way.Join Our Community:At Airbnb, we prioritize the importance of reliable data across all business sectors to drive insight and innovation. To achieve this, we focus on understanding business needs, securing appropriate data sources, designing effective data models, and establishing robust and dependable data pipelines.We are currently recruiting for the following teams:The Data Stewardship Team: A dedicated group of data enthusiasts with diverse expertise in analytics, data modeling, governance, compliance, and scalable data quality. Our mission is to ensure that Airbnb meets its compliance obligations within our data ecosystem while enabling data consumers to easily find the best data suited for their needs. As part of the overall Data Infrastructure organization, we manage the online and offline data infrastructure and oversee the processes that facilitate data transitions between these environments.The Users and Contextualization Data & AI Team: A crucial component of the Marketplace Data & AI, this team focuses on developing foundational data systems that provide deeper insights into essential domains. Specifically, we concentrate on user data (Guests & Hosts) to create high-quality, well-governed user data and insights. These insights are vital for crafting personalized and context-aware experiences that enhance trip quality both on and off the Airbnb platform, ultimately enabling Airbnb to better understand and serve its users throughout their journey.Your Impact:Data Stewardship: This is integral to Airbnb's operations. High-quality data is imperative for our business decisions and the future of our AI initiatives. We are responsible for the overall strategy regarding data quality, identifying critical data and its provenance, measuring the effectiveness of our internal data products, and collaborating with our core catalog team to provide optimal data solutions.

About HandshakeHandshake is revolutionizing the career landscape for the AI economy. Trusted by 20 million knowledge workers, 1,600 educational institutions, and 1 million employers—including all Fortune 50 companies—Handshake empowers career discovery, hiring, and professional development. From freelance AI training opportunities to internships and full-time roles, our platform is at the forefront of a rapidly evolving job market. We anticipate tripling our annual recurring revenue by 2025, showcasing our remarkable growth trajectory.Why you should consider joining Handshake:Play a pivotal role in shaping careers in the AI economy, influencing your community and beyond.Collaborate with leading AI labs, Fortune 500 partners, and prestigious educational institutions.Join a talented team featuring leaders from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir.Contribute to a rapidly growing company generating billions in revenue.About the RoleAs a Software Engineer, you will play an essential role in developing systems that enhance user acquisition, onboarding, identity verification, and fraud prevention. Collaborating with experienced engineers and multidisciplinary teams, you will deliver high-quality, scalable software solutions. This position is perfect for an individual with a solid understanding of software engineering principles and a passion for impactful work.Your Responsibilities:Design and implement platform systems that facilitate user acquisition, onboarding, and identity infrastructure.Develop and maintain fraud prevention systems to uphold our platform's integrity.Write clean, high-quality code and implement thorough testing strategies to ensure product reliability.Collaborate with product managers, designers, and senior engineers to deliver seamless user experiences from initial engagement to activation.Engage in code reviews and leverage mentorship from experienced engineers to enhance your technical skills.

Join SoFi as a Senior Software Engineer in our Data Foundations team, where you will play a pivotal role in shaping our data architecture and enhancing our data-driven capabilities. You will work closely with cross-functional teams to develop robust data solutions that empower our business decisions and improve customer experiences.As a Senior Software Engineer, you will leverage your expertise in data engineering, software development, and cloud technologies to build scalable data pipelines and maintain high-quality data infrastructure. Your contributions will directly impact our ability to deliver innovative financial solutions.

Join Discord, a platform that connects over 200 million users monthly, primarily through gaming. With over 90% of our users engaging in gaming activities, they spend a staggering 1.5 billion hours playing unique titles every month. Discord is pivotal in shaping the future of gaming, enabling seamless interactions before, during, and after gameplay.Every day, countless gamers gather on Discord to strategize, celebrate victories, and foster communities around their favorite games. Behind our voice channels and streaming sessions lies vast amounts of data, capturing the essence of gaming connections.We are in search of an enthusiastic Software Engineer eager to construct data infrastructure at an enormous scale, with a genuine passion for supporting gaming communities. You will play a crucial role in developing the next-generation Data Platform that drives insightful decisions on one of the most vibrant platforms globally.If you are a Software Engineer who thrives on discussing distributed systems, prioritizes user privacy, and seeks to make data-driven decisions that impact millions of gamers worldwide, we would love to hear from you.For more insights into Discord's Data Platform, check out our engineering blog, including how we built our modern data stack leveraging open-source tools!

About Our TeamJoin our innovative Robotics team at OpenAI, where we are dedicated to pioneering general-purpose robotics and advancing towards Artificial General Intelligence (AGI) in dynamic real-world settings. Our work encompasses the entire model and systems stack, merging advanced hardware and software to investigate diverse robotic form factors. Our mission is to harmoniously integrate high-level AI capabilities with the practical constraints of real-world systems, ultimately enhancing people’s lives.About This RoleWe are on the lookout for a passionate Operations Manager for Data Acquisition to lead and expand the system that facilitates robotics data collection across OpenAI’s robotics program. This role encompasses our robotic stations, a substantial managed workforce, and our facilities, while our engineering and research teams continuously innovate the platforms and workflows.You will be at the core of this system, ensuring cohesive alignment across research, engineering, operations, and external partners to guarantee that data collection operates reliably and at scale. This is a pivotal ownership role, responsible for ensuring the system functions cohesively, scales across multiple sites, and continuously improves as robotics capabilities advance.To succeed in this role, you will need exceptional cross-domain leadership skills and the ability to coordinate effectively with senior stakeholders, including robotics engineering, software teams, research leaders, operations teams, and external service partners.Key Responsibilities:Oversee the DAQ Operating System:Manage the comprehensive system that supports robotics data collection across stations, workforce, and facilities.Ensure the robotics fleet, station software, workforce execution, and infrastructure function as a unified, dependable system.Establish operating rhythms, decision-making frameworks, and escalation paths to ensure seamless execution.Drive substantial improvements in throughput, reliability, and data quality.Facilitate Cross-Functional Execution:Serve as the primary point of operational alignment among robotics research, engineering, and operations.Clarify priorities, readiness, and constraints to ensure uninterrupted deployments.Guarantee that new platforms, workflows, and capabilities are integrated smoothly into operations.Provide real-world operational feedback to inform engineering and research decisions.

About Probably GeneticProbably Genetic is revolutionizing the lives of patients with severe and complex diseases. Our advanced data platform empowers drug developers and patient advocacy organizations to create and launch innovative treatments. By leveraging cutting-edge technology, we identify undiagnosed patients online, analyze their conditions using machine learning and home testing, and facilitate compliant communication with them. Our mission is to ensure that patients gain access to diagnoses, clinical trials, and treatments at the earliest opportunity.We are a dedicated team of passionate problem solvers, driven by a purpose that transcends individual interests. By prioritizing patient welfare, we are developing groundbreaking solutions in healthcare, with a roadmap full of innovations in bioinformatics, AI, and drug development. We invite you to join our lean, talented team and contribute to our vision.Probably Genetic has secured multiple funding rounds from top-tier Silicon Valley investors, including Threshold, Khosla, and Y Combinator. We offer competitive salaries, comprehensive benefits, and meaningful equity opportunities for early-stage team members.About the RoleWe are seeking a founding Data Engineer who is enthusiastic about shaping the future of data utilization to enhance patient outcomes. In this pivotal role, you will establish our data engineering architecture and construct the pipelines that drive internal insights and commercial data products. Your contributions will be instrumental in fostering clarity, impact, and growth throughout our organization.What You Will DoCollaborate closely with the Head of Engineering and Head of Product to transform complex data challenges into elegant, scalable solutions.Build reliable, maintainable infrastructure on AWS using Terraform to accommodate our expanding data requirements.Design data tables and pipelines tailored to the specific needs of our customers and internal teams.Implement state-of-the-art data pipelines with built-in observability from day one.Analyze and visualize data using BI tools to facilitate informed business decisions and provide customized insights to clients.Communicate your work and its impact across teams — presenting findings, receiving feedback, and continuously enhancing processes.Who You AreWe are eager to connect with candidates from diverse backgrounds who are committed to learning, growth, and making a meaningful impact. Here are a few attributes that will enable you to thrive in this role:Proficiency in data engineering principles and practices.Experience with cloud platforms, particularly AWS.Strong analytical skills and familiarity with data visualization tools.Ability to collaborate effectively in a team environment.

At Superhuman, we embrace a dynamic hybrid working model, allowing our team members to enjoy focused work time alongside in-person collaboration. This flexible approach fosters trust, innovation, and a vibrant team culture.We are seeking talented individuals based in San Francisco or Seattle for this role.About UsSuperhuman, an innovative AI productivity platform, aims to unlock the superhuman potential within everyone. We integrate AI seamlessly into the workflows of over 40 million people and 50,000 organizations worldwide, offering tools like Grammarly’s writing assistant, Coda’s collaborative workspaces, and our proactive AI assistant Go. Founded in 2009, we are committed to eliminating busywork, enabling our users to focus on what truly matters. Discover more at superhuman.com and learn about our core values here.Join Our TeamWe are on the lookout for a Senior Software Engineer to enhance our Data Enablement team and develop a world-class data platform. Your expertise will be crucial as we manage over 70 billion daily events, driving product enhancements through our systems. This role offers a unique opportunity to engage in every facet of complex software system development, from strategy formulation to architecture design and production deployment.Our engineers and researchers are encouraged to innovate and contribute to significant breakthroughs, shaping the trajectory of our product suite. As we scale our operations, we face increasingly complex technical challenges, providing fertile ground for growth and development. To gain further insights into our work, check out our technical blog.

Superhuman embraces a vibrant hybrid work model, offering team members a blend of focused work and collaborative in-person interactions that cultivate trust, innovation, and a robust company culture. Team members in this role should be located in San Francisco or New York City. About SuperhumanSuperhuman, home to Grammarly, is an innovative AI productivity platform dedicated to unlocking the extraordinary potential in everyone. Our suite of applications seamlessly integrates with over one million tools and websites, featuring Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that delivers contextual help automatically. Founded in 2009, Superhuman empowers over 40 million individuals, 50,000 organizations, and 3,000 educational institutions globally, helping them eliminate busywork and focus on what truly matters. Discover more at superhuman.com and learn about our values here.The OpportunityWe are on the lookout for a Senior Engineer to join our Data Platform team, tasked with constructing an exceptional data platform. Superhuman’s success hinges on our capacity to efficiently process 60 to 70 billion daily events, utilizing our systems to enhance our product. This role offers a unique chance to engage in all facets of developing complex software systems, including shaping strategy, defining architecture, and executing deployments to production.Our engineers and researchers enjoy the freedom to innovate and make impactful contributions to our product roadmap. As we scale our interfaces, algorithms, and infrastructure, the complexity of our technical challenges is rapidly increasing. Dive deeper into our team's insights on our technical blog.OverviewAs a Software Engineer on the Data Platform team, you will be instrumental in defining the architecture and technical strategy for our data platform, ensuring scalability, security, and efficiency across our data engineering systems. You will design and spearhead the implementation of robust, scalable, and dependable systems that manage high volumes of data, facilitating both product features and data-driven decision making across the organization. Your responsibilities will encompass areas such as real-time data processing and ETL (Extract, Transform, Load).

Position OverviewJoin OpenEvidence as a Data Infrastructure Software Engineer, where you will engineer comprehensive systems that drive essential product and research operations. Your focus will be on optimizing performance, ensuring scalability, and enhancing accuracy, while enjoying the autonomy to manage the infrastructure that assists healthcare professionals in navigating complex clinical decisions in real-time.We value exceptional creators who thrive in versatile roles. Our engineers engage across various products and projects, taking ownership wherever they can make the most significant impact.About OpenEvidenceOpenEvidence is the leading medical AI platform globally, utilized by over 40% of clinicians in the U.S. in just over a year through organic product-led growth. As a $12 billion company, our engineering team comprises 30 talented individuals from MIT, Harvard, and Stanford. We believe that groundbreaking products are born from a small group of exceptional builders, driven by focused goals and empowered to take ownership and act swiftly. We are expanding our team to capitalize on an unparalleled opportunity to set the standard for medical AI platforms.If you are a top-tier engineer or scientist eager to push the boundaries and achieve tangible outcomes that affect millions of lives, we want to connect with you.Our CultureWe expect our work to be performed at an elite level. The journey from concept to execution and scaling is akin to a professional sport, where excellence is non-negotiable. We believe that the creation of innovative technologies is only achievable through complete ownership. Significant achievements happen when individuals take the initiative to see them through.Your ProfileThis role is not for those seeking a 9-to-5 job or merely looking to write papers. If you are ready to dive into the trenches, tackle challenges head-on, and create something from scratch that could impact millions and drive substantial revenue, you might be the perfect fit.We seek brilliant builders who are intelligent, ambitious, resourceful, self-reliant, detail-oriented, driven, hardworking, and humble. Does this sound rare? It is, as we have only found 30 of them so far, and we are eager to discover more.

Founded in 2007, Airbnb has transformed the way people experience travel, connecting over 5 million hosts with more than 2 billion guests worldwide. Our platform enables unique stays and authentic experiences, fostering connections with local communities.The Team You Will Join:As a pivotal member of the Data Warehouse Infrastructure team, you will help shape the backbone of Airbnb's big data capabilities, enabling hundreds of engineers to efficiently collect, manage, and analyze vast amounts of data. We leverage cutting-edge open-source technologies such as Hadoop, Spark, Trino, Iceberg, and Airflow.Typical Responsibilities:Design and architect Airbnb's next-generation big data compute platform to enhance data ETL, analytics, and machine learning efforts.Oversee the platform's operations, focusing on improving reliability, performance, observability, and cost-effectiveness.Create high-quality, maintainable, and self-documenting code while engaging actively in code review processes.Contribute to open-source projects, making a significant impact on the industry.

At Plaid, we believe in the power of data-driven decision-making. Our data culture demands robust and scalable data systems that ensure accuracy and completeness. As a Senior Software Engineer focusing on Data Infrastructure, you will play a pivotal role in empowering teams across engineering, product, and business sectors to swiftly and securely extract valuable data insights. Your work will directly enhance our ability to serve customers effectively. You will be responsible for building and optimizing our data and machine learning infrastructure, allowing Plaid engineers to innovate and iterate on products built on consumer-permissioned financial data. Our Data Infrastructure engineers are experts in Data Warehousing, Data Lakehouse architecture, Spark, Workflow Orchestration, and Streaming technologies. You will enhance our existing data pipelines for performance and cost efficiency while creating intuitive abstractions that simplify the development process for other engineers at Plaid.

Jordan Park Group is a premier investment management firm dedicated to providing tailored financial advice to a unique clientele of individuals, families, and institutions. Our clients are distinguished leaders in business, philanthropy, government, and society. Our diverse team embodies empathy and expertise, tackling complexity and challenges to empower clients in achieving their financial aspirations.Our mission is to enhance lives and legacies through strategic financial management.Associate Software Engineer - Data PlatformSan Francisco, CaliforniaYour OpportunityWe are looking for a motivated Technology & Data Engineering Associate to elevate our data platform and enhance data quality initiatives. This role sits at the dynamic intersection of data engineering, analytics, data quality management, and AI integration.The Associate will be responsible for designing, building, and maintaining production-grade data systems, collaborating closely with executives, investment teams, operations, and client services to achieve significant business outcomes. This is a hands-on technical position that offers substantial ownership and visibility within the organization.Your RoleData PlatformDesign, build, and maintain robust SQL data pipelines (e.g., dbt + Snowflake + Python)Develop and manage orchestration workflows (Airflow or equivalent)Create data ingestion processes and API integrationsMonitor pipeline reliability and performance; proactively resolve issuesData Quality & ControlsDevelop deep expertise in the firm’s data, systems, and processesDesign reconciliation frameworks across systems and automate data validation and exception reportingPerform detailed variance analysis and root cause investigationsCollaborate with operations and finance teams to ensure reporting accuracyAnalytics & Business IntelligenceArchitect and maintain Tableau dashboards utilized across the firmTrain and support internal stakeholders on self-service analyticsPython Development & AutomationDevelop Python-based tools for API integrations, data transformations, and ad-hoc analysis