Senior Software Engineer - API Infrastructure

Rivian and Volkswagen Group Technologies brings together two leaders in the automotive sector to develop new technology for electric vehicles. The partnership focuses on solutions ranging from advanced operating systems and zonal controllers to secure cloud connectivity. By combining expertise in connectivity, artificial intelligence, and security, the team works to shape a more connected and sustainable future in mobility. Role overview The Senior Data Engineer joins the Core Data team, which builds and scales the data platform supporting analytics and decision-making. Within this team, the Operational Insights group handles data from production environments, turning complex operational and quality data into dependable data products and performance metrics that drive business results. What you will do Design and maintain scalable data ingestion pipelines for analytics initiatives across multiple programs and locations Create well-structured datasets to support analytics and AI-driven insights Ensure data integrity and reliability across key operational systems Bridge operational systems, data platform engineering, and analytics to convert raw data into governed, high-value datasets Who thrives in this role This role suits those who enjoy building data infrastructure that connects operational systems and analytics, and who take pride in transforming raw data into reliable, actionable insights for a broad range of business needs.

Mudflap is revolutionizing the $800 billion trucking industry, which serves as a vital pillar of the U.S. economy. Our innovative payment solutions empower truckers to save significantly on their primary operational cost: fuel. Additionally, we connect our network of fuel stop partners with new, hard-to-reach clients. As a rapidly expanding marketplace, we are on the lookout for a passionate, customer-focused individual to join our dynamic team.In this pivotal role as a Senior Data Engineer, you will be instrumental in crafting the data infrastructure that enables faster and smarter decision-making across our organization. You will design, scale, and manage our modern, cloud-based data platform, ensuring that our data flows seamlessly and is effectively utilized by teams throughout the company.This is a rare opportunity to establish data standards, influence technical direction, and guarantee the quality, consistency, and scalability of the data platform relied upon by hundreds of thousands of small and medium-sized trucking companies each day.Our Palo Alto office offers a hybrid work environment that encourages collaboration in the office while also providing the flexibility to work remotely.

Join Mudflap, a pioneering force in the $800 billion trucking industry, where our innovative payment solutions empower truckers to save significantly on fuel costs—their largest operational expense. We connect fuel stop partners with new customers, creating a vibrant marketplace that is rapidly expanding. We are actively seeking a customer-focused Senior Software Engineer to help us shape our exciting future.As a Senior Software Engineer specializing in Data Platforms, you will be instrumental in constructing a robust data infrastructure that ensures reliable and scalable data flow throughout Mudflap's systems. Your contributions will be vital in designing and managing the frameworks and services that facilitate efficient data ingestion, processing, and accessibility on a large scale.In this role, you will architect and develop high-performance platform systems that drive data ingestion, orchestrate pipelines, and manage large-scale processing. Your efforts will lay the groundwork for high-availability data systems that empower Mudflap's teams to operate with speed and confidence.This position is based in the Bay Area and offers a hybrid work model, allowing for a blend of in-office collaboration and remote work.

At Rhoda AI, we are pioneering the development of a comprehensive technology stack for the future of humanoid robotics. Our focus ranges from high-performance, software-defined hardware to cutting-edge foundational models and video world models that govern these systems. Our robots are engineered as versatile generalists, adept at navigating complex, real-world scenarios that extend beyond conventional training environments. Collaborating at the forefront of large-scale learning, robotics, and systems, our research team comprises distinguished experts from renowned institutions such as Stanford, Berkeley, and Harvard. With an impressive funding of over $400 million, we are committed to substantial investments in research and development, hardware innovation, and the scaling of manufacturing processes to bring our vision to life.Position OverviewWe are currently seeking a Senior ML & Data Infrastructure Engineer to take ownership of and enhance our data model training pipeline. This role encompasses the entire lifecycle, from raw data ingestion and storage to sophisticated indexing, retrieval, and throughput optimization at an unprecedented scale.Key ResponsibilitiesDesign, develop, and scale a robust data infrastructure capable of processing and managing billions of video clips while ensuring reliability, low latency, and cost-effectiveness.Create and optimize large-scale storage solutions, including cloud object storage and databases, tailored for multimodal datasets.Develop high-performance indexing and retrieval systems to facilitate rapid dataset querying, filtering, and iteration for both research and production applications.Establish observability frameworks for data pipelines that encompass monitoring, alerting, failure recovery, and performance enhancements.Implement intelligent workload distribution and throughput enhancements across distributed compute and storage infrastructures.Oversee data artifacts, versioning, and lineage to guarantee reproducibility and traceability throughout training cycles.Create user-friendly internal interfaces and lightweight tools that empower researchers and engineers to explore, query, and analyze extensive datasets efficiently.Facilitate the integration and scalable deployment of vision-language models (VLMs) within data pipelines for purposes such as screening, enrichment, or metadata generation.QualificationsA minimum of 5 years of experience in data infrastructure, distributed systems, machine learning infrastructure, or a closely related field.Proven expertise in developing and managing large-scale data pipelines and storage solutions.Strong programming skills in languages such as Python, Java, or Scala, and proficiency with data processing frameworks.Experience with cloud-based storage solutions and databases, as well as knowledge of multimodal data management.Ability to work collaboratively in a fast-paced, innovative environment.

Hello from Cygnus Professionals,We hope this message finds you well!We are currently seeking a talented Big Data Engineer specializing in Spark to join our dynamic team. If you possess the necessary skills and are interested, please send us your updated resume along with your contact information and desired rate.Position: Big Data Engineer with SparkLocation: Palo Alto, CADuration: Potential Contract to HireInterview Mode: Skype following a phone interviewImportant Note: We are looking for Green Card holders, U.S. Citizens, or EAD GC candidates only.Position Overview:As a Big Data Engineer, you will utilize your expertise in Java, Spark, and Hadoop to design and implement scalable data solutions. You will work with distributed systems, and your responsibilities will include:Developing data pipelines and implementing distributed system designs.Applying machine learning algorithms to enhance data processes.Building large-scale applications utilizing various software design patterns and object-oriented design principles.Engaging in research and analysis to convert raw data into structured datasets for product development.Managing data warehousing and parallel processing of large datasets using technologies such as Hadoop and cloud solutions.Participating in Agile, Scrum, and SDLC methodologies.Thriving in a fast-paced, research-oriented environment while demonstrating strong communication and collaboration skills.

Senior Staff Software Engineer - Data PlatformAbout LadderLadder is revolutionizing the life insurance industry by eliminating unnecessary delays, paperwork, and in-person meetings. Founded by Jamie, who experienced a personal loss at a young age, our mission is to simplify access to life insurance so families can secure their futures. By harnessing the power of real-time underwriting and AI technology, we have transformed the months-long application process into a matter of minutes, garnering over $74 billion in coverage provided. Our user-friendly digital experience is celebrated by clients, as reflected in our glowing Trustpilot and Google reviews.About the RoleWe are seeking a dynamic Senior Staff Software Engineer with extensive experience in building scalable ETL pipelines. You will tackle complex backend and data plumbing issues that connect our transactional systems (Datomic) with analytical and streaming infrastructures (BigQuery, Kafka, Flink, DBT). If you thrive on solving intricate architectural challenges using immutable data structures and functional programming, we want you on our team!

About the Team: The Information Technology team at Rubrik is pivotal in shaping business processes, enhancing employee experience, and leveraging technologies to scale our organization beyond $1 billion. This dedicated team drives operational efficiencies across the enterprise by centralizing the management of Infrastructure, Technology, and Data. The IT team guarantees all stages of the software development lifecycle occur within a secure environment while meticulously overseeing the implementation of essential processes and governance. They are not just champions of Rubrik but also serve as primary users of the Engineering teams' offerings. Rubrik Corp IT operates entirely on a Software as a Service (SaaS) model, with no on-premises solutions. The IT team accelerates the enhancement of business value and optimizes daily operations through a diverse portfolio of SaaS applications, including Salesforce.com, Oracle Netsuite, Workday, Snowflake, Etrade, Jitterbit, and Allocadia. Their commitment to delivering high-velocity business outcomes is backed by a 100% system uptime, supported by agile, streamlined, and cohesive cloud architectures. About the Role: Become a part of our Data Engineering and Analytics team at our Palo Alto headquarters, where you will design and implement the data infrastructure that supports our General and Administrative (G&A) business functions. In this impactful role, you will manage the entire lifecycle of data initiatives, transforming complex business requirements into scalable data models and delivering insightful analytics that guide critical decision-making. You will work closely with stakeholders across Go-To-Market (GTM) programs, Product Operations, Pricing, and Treasury, facilitating precise reporting, operational transparency, and strategic planning. Your contributions will directly aid directors and senior leaders within Sales and G&A, shaping revenue growth, strategy, and operational effectiveness through reliable, data-informed decisions. What You'll Do: Business Partnership & Delivery: Act as a data partner across GTM and G&A business functions, leading high-impact projects from analysis to successful completion. Requirements Discovery: Conduct in-depth engagement sessions with stakeholders to convert business queries into actionable technical roadmaps, ensuring data solutions effectively address core strategic challenges. Architectural Excellence: Design and refine scalable data pipelines and advanced dbt models in Snowflake. Develop a robust Semantic layer to standardize metric definitions and ensure alignment across diverse G&A data sources. Advanced Analytics & Visualization: Produce executive-level narratives using Tableau. Transform raw data into proactive analytical tools that enhance insight and decision-making.

Join pebl as the Vice President of Data Engineering, a pivotal role where you will lead our data engineering team in building robust data infrastructures that drive our innovative solutions. You will be responsible for overseeing the development and optimization of data pipelines, ensuring data integrity, and enabling our organization to leverage data for decision-making and strategic initiatives.As a key member of the executive team, you will collaborate closely with other departments to align data strategies with business objectives. Your expertise in data architecture and engineering will help shape our products and services, fostering a data-driven culture across the organization.

Location: San Francisco Bay Area (Palo Alto or San Francisco preferred) or Seattle, WA.Working Model: Hybrid (in-office presence required).About the RoleWe are on the lookout for a Senior Staff Enterprise Architect, Data to spearhead the strategy, design, and modernization of our enterprise data landscape. This pivotal role sits at the crossroads of data architecture, engineering, and AI enablement, crafting solutions to seamlessly integrate our Data Lake and Data Warehouse across multi-cloud platforms.In the next 12-18 months, you will empower business users with self-service data access and natural language query capabilities. Your responsibilities will also include architecting Master Data Management and data lineage frameworks, ensuring that AI models function on high-quality, governed data. Additionally, you will assess and implement AI-driven tools to automate data quality monitoring and bolster data security.Key ResponsibilitiesData Strategy & RoadmapDesign a semantic layer architecture that standardizes business metrics across the enterprise, while defining governance guardrails to ensure that natural language queries access validated master data sources.Develop a Master Data strategy for Customer and Product domains (phases 1-2), with Finance and People to follow. Establish golden record requirements, stewardship models, and a system-of-record hierarchy. Collaborate with business stakeholders on master data governance.Define a cross-cloud data integration strategy and reference architecture, specifying patterns (federation, replication, abstraction layer) that balance performance, cost, and data freshness. Document trade-offs and recommend implementations for both batch and near-real-time use cases.Create 12-24 month data architecture roadmaps for Finance, Sales, Product, and People, identifying capability gaps and recommending technology investments along with business value and effort estimates.Systems Design & Solution LeadershipEvaluate AI-powered data observability platforms for quality monitoring, pipeline failure prediction, and data classification. Define requirements, lead vendor POCs, and establish integration patterns.Define data ingestion architecture that reduces availability from weeks to 3-5 days (batch) and under 15 minutes (real-time), specifying ELT patterns using CDC where feasible. Document source system constraints and collaborate with engineering on phased implementation.Establish build vs. buy frameworks for Data Platform, ETL, Data Quality, and Master Data tooling. Define POC criteria and scoring models. Oversee POC execution and present recommendations with TCO analysis to the architecture team.

Join xai as a Senior Data Analyst specializing in Fraud and Anti-Money Laundering (AML). In this pivotal role, you will leverage data-driven insights to combat financial crimes, utilizing advanced analytical techniques to identify suspicious activities. Your expertise will contribute to the development of sophisticated models and systems that enhance our fraud detection capabilities.

Palo Alto, CA (Hybrid – 2 days/week in office) Reports to: Director Data Science + AnalyticsAbout Midi Health:At Midi Health, we are pioneering a transformative approach in the healthcare space, focusing exclusively on women's midlife health. As the fastest-growing virtual clinic, we provide comprehensive, insurance-covered care to women navigating perimenopause, menopause, and hormone-related health issues. Our innovative care model seamlessly integrates clinical expertise with advanced technology, enhancing accessibility, improving health outcomes, and significantly elevating quality of life for millions of women.Backed by leading investors, we are rapidly expanding our services, now helping hundreds of thousands of patients across the United States. If you thrive in a dynamic, mission-driven environment and are eager to contribute to meaningful change, we want to hear from you!About the RoleWe seek a highly analytical and collaborative Senior Data Analyst to take charge of our data strategy for commerce and fulfillment operations. In this pivotal role, you will manage a dual-platform environment, analyzing prescription data from our proprietary system and supplement data from our Shopify storefront.You will serve as a crucial link among our data, operations, marketing, and product teams. If you are passionate about tracking intricate customer journeys, optimizing e-commerce funnels, and driving revenue while upholding clinical integrity, this position is ideal for you.What You'll DoCommerce & Funnel AnalyticsAnalyze Dual-Platform Funnels: Monitor and enhance the complete patient purchasing journey across our internal Rx platform (from Clinician Prescription to Purchase) and our Shopify storefront (supplements purchase and subscription metrics).Drive Renewals & Retention: Develop reports to track Rx medication refills and Shopify supplement subscriptions. Analyze patient funnels for those requiring clinical follow-ups before Rx renewals to ensure a seamless patient experience.Optimize Revenue & Margins: Evaluate product margins across various business lines (Rx, supplements, and future product offerings). Track Average Order Value (AOV) and identify data-driven opportunities for cross-selling and up-selling, ensuring all commerce recommendations strictly adhere to clinical protocols and patient care guidelines.

Join mindrobotics as a Data Engineer, where you will play a pivotal role in developing the data systems that drive large-scale AI training for robots. This position is centered around transforming extensive data into well-organized, high-quality datasets. You will take ownership of data pipelines, labeling workflows, storage, and cloud infrastructure from start to finish. If you thrive in scaling environments, enjoy creating bespoke tools when existing solutions are inadequate, and aim to enhance data reliability for rapid iteration, you'll find a welcoming home here. Collaborate closely with researchers and engineers to ensure that our data propels swift and impactful advancements in robot training and evaluation.

Mudflap is revolutionizing the $800 billion trucking industry, a crucial component of the U.S. economy. Our innovative payment solutions empower truckers to save significantly on fuel, their largest operational cost, while simultaneously offering our fuel stop partners access to a new and hard-to-reach clientele. As a rapidly expanding marketplace, we are seeking a passionate and customer-focused individual to join our dynamic team on this exciting journey.About the RoleAt Mudflap, we are developing a robust data-driven engine that will inform decisions across all facets of our organization. We are in search of experienced Senior and Staff Data Scientists to join our small yet highly impactful analytics and machine learning team. In this role, you will collaborate closely with product, engineering, operations, and cross-functional partners to create data products, develop machine learning models, conduct experiments, and provide insights that will directly drive our growth and product strategy.Work Location: This position is based in Palo Alto, CA and offers a hybrid work model, blending in-office teamwork with remote flexibility.To support our team, we provide:Commuter benefits to facilitate your travelLunches and snacks to keep you energizedA collaborative, high-growth environment where you will work alongside talented colleagues from various departmentsWe are hiring for three primary domains—Product, Risk, and Growth—allowing you to apply your expertise where your passion lies:What You’ll DoProduct:Influence strategic product decisions through advanced analytics and experimentation. Design and conduct A/B tests, create predictive models, and derive data-driven insights that will significantly impact product roadmaps and business outcomes. Collaborate closely with product managers, engineers, and leadership to uncover opportunities, assess feature success, and enhance user experiences.Risk:Assess, model, and mitigate credit and fraud risks within our platform. Enhance our credit risk underwriting capabilities, and develop predictive models aimed at minimizing fraud losses. Work alongside Product, engineering, and operations teams to implement scalable risk management strategies.Growth:Generate strategic growth insights through sophisticated data architecture and advanced analytics. Lead the design and implementation of growth-focused initiatives that drive business expansion.

Join Grindr as a Senior Staff Data Scientist in a hybrid capacity at our Palo Alto office, where you will work in-office on Tuesdays and Thursdays.Why This Role is ExcitingGrindr (NYSE: GRND) is the largest LGBTQ+ social networking platform globally, boasting over 14 million active users monthly across nearly every country. As an integral part of the LGBTQ+ community, we are a cornerstone of gay culture.In your role, you will collaborate across teams including product managers, designers, and engineers to develop actionable metrics, spearhead innovative experiments, and provide data-driven insights that will inform strategic decisions. Your contributions will directly enhance the experience of millions of users through production-level models and analyses. Furthermore, you will serve as an ambassador for the Data Science team, sharing knowledge about effective data utilization with diverse teams across the organization.Being a part of Grindr's data organization means engaging with a dynamic team of data scientists, data engineers, and ML/AI engineers, all working together to push the boundaries of data science.Key ResponsibilitiesDerive actionable insights from complex, open-ended inquiries.Define strategies for designing and assessing experiments to evaluate product changes.Effectively communicate results to executives and cross-functional teams to influence product and organizational strategies.Analyze product data to identify the root causes of metric fluctuations.Collaborate with stakeholders to communicate findings that guide product decisions.Develop and oversee tools that automate analyses, enhancing productivity across the organization.Mentor team members and recommend best practices.Employ an engineering mindset to streamline complexity while maximizing utility and maintainability.Shape the future of our data products by developing machine learning solutions that enhance user recommendations, identify spam, and improve user engagement.What We Value in You

Join xAI as a Software Engineer on our Data Platform team, where you'll design, build, and operate scalable distributed systems that handle vast data processing and transport. Be part of a dynamic environment focused on engineering excellence, working with cutting-edge technologies like Apache Kafka, Spark, and Flink to drive real-time machine learning and analytics at a petabyte scale.

Join PsiQuantum, a pioneering force dedicated to creating the first practical quantum computers that will revolutionize various industries. Since our inception in 2016, we have been unwavering in our mission to construct and implement million-qubit, fault-tolerant quantum systems.Our innovative quantum computers leverage the principles of quantum mechanics to tackle problems that are beyond the capabilities of the most sophisticated supercomputers and AI technologies. The transformative potential of these machines will benefit fields such as energy, pharmaceuticals, finance, agriculture, transportation, and materials science.Utilizing silicon photonics as the foundation of our architecture, we capitalize on advanced semiconductor manufacturing techniques—partnering with leaders like GlobalFoundries. This approach allows us to employ high-volume processes that already produce billions of chips for telecommunications and consumer electronics. The benefits of photonics are clear: they are immune to heat, unaffected by electromagnetic interference, and seamlessly integrate with current cryogenic cooling systems and standard fiber-optic infrastructures.In 2024, we announced significant government-funded projects aimed at establishing our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives illustrate the growing acknowledgment of quantum computing's strategic and economic significance, emphasizing the urgency to scale our efforts.At PsiQuantum, we are also focused on developing the algorithms and software necessary for these systems to achieve commercial viability. Our application and software teams collaborate with prestigious Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to optimize quantum solutions for real-world applications.Quantum computing signifies not merely an extension of classical computing but a radical transformation, offering pathways to tackle challenges that cannot be addressed through any other means. The opportunities are vast, and we are committed to making this vision a tangible reality.We invite you to be a part of this groundbreaking journey.

Senior Product Manager Location: Palo Alto, CA (open to other locations in the US) About Us: Rubrik, the Zero Trust Data Security Company™, is dedicated to providing top-tier data security and operational resilience for enterprises. We focus on delivering a unified platform for data security and protection, encompassing Zero Trust Data Protection, Ransomware Investigation, Incident Containment, Sensitive Data Discovery, and Orchestrated Application Recovery. Our goal is to ensure that your data is secure and readily recoverable, eliminating the need for ransom payments. By safeguarding your data, you protect your applications and your business. We are proud to be recognized as a Forbes Cloud 100 Company, named among LinkedIn's Top 10 Startups, and have earned the Great Place to Work® Certification™. Now is an exciting time to join Rubrik as we embark on our next chapter of growth, enabling you to do the best work of your career. About the Team: Our Product Management team is pivotal in defining strategies and executing initiatives to enhance our leading platform for cyber-resilience. We are committed to addressing the evolving data management and security challenges faced by our customers, taking on various roles throughout the product lifecycle while setting the vision for our expanding product suite. As advocates for both users and the business, our Product Managers balance diverse perspectives and empower their teams to excel. The Hypervisors team within Rubrik's enterprise data protection unit holds significant strategic importance and is well-positioned for impactful business outcomes. The team is dedicated to tackling cyber resilience challenges faced by enterprises today. You'll engage directly with customers, collaborate with engineering on technical trade-offs, and spearhead the go-to-market strategy. About the Role: As a Senior Product Manager for Hypervisors, you will lead the comprehensive strategy and execution of Rubrik's Hypervisor solution, ensuring robust defenses against cyber threats and data corruption for our clients. You will collaborate closely with engineering, design, and sales teams, directly engaging with customers to validate their pain points and bring forth a differentiated, market-leading solution. Given the growth trajectory and strategic significance of hypervisor protection within Rubrik and the Enterprise Data Protection team, this role is vital to our overall success.

Grindr connects millions of LGBTQ+ people worldwide through an AI-driven platform. With over 15 million monthly users and more than 130 billion messages exchanged each year, the company’s team of fewer than 200 faces technical challenges at a truly global scale. The Data organization brings together data scientists, data engineers, and ML/AI engineers in a collaborative environment, where sharing knowledge and supporting each other's growth is part of daily work. Role overview The Senior Data Scientist role focuses on Ecosystem Health. This position collaborates closely with product managers, designers, and engineers to shape product metrics, design and analyze experiments, and uncover insights that guide product direction. The work aims to improve user retention by building a safer and more authentic community, proactively preventing harm, strengthening identity trust, and empowering users to manage their safety experiences. The team also adapts to evolving regulatory requirements as needed. This role sits at the intersection of AI/ML, fraud prevention, risk management, and trust & safety. Strategies and innovations developed here help ensure authenticity, reduce harmful behaviors, and build user confidence across Grindr’s global user base. Grindr values technical skill and curiosity, especially for those interested in developing their product sense and analytical leadership. This position offers the chance to expand influence and learn from colleagues with diverse backgrounds. How the team works Grindr’s "Grindr Mode" philosophy means working hard while prioritizing well-being. The company values results over raw output, and the team supports each other in maintaining high standards along with a healthy work-life balance. What you will do Define and monitor key product metrics in partnership with cross-functional teams. Design, execute, and analyze A/B tests to measure the impact of new features. Conduct deep data analyses to identify trends and generate actionable insights. Communicate findings clearly to stakeholders and help shape product strategies. Build dashboards and tools that enable teams to track metrics and make informed decisions. Contribute to best practices and knowledge sharing within the Data Science team. Location This position is based in Palo Alto.

Role overview xai seeks a Data Engineer based in Palo Alto, CA. The position centers on building and refining data infrastructure to align with company objectives. Collaboration with teams throughout the organization is a key part of this role. What you will do Design and develop data solutions that inform business decisions Collaborate with cross-functional teams to create and enhance data systems Contribute to shaping data processes that support company results