Data Engineer at baseten | San Francisco

About LindyLindy is revolutionizing the way individuals interact with AI by creating an assistant designed for everyone — not just tech enthusiasts. Lindy Assistant seamlessly integrates with iMessage, managing emails, calendars, and meetings with a setup time of only two minutes. We’re focused on bridging the gap between advanced AI models and the everyday lives of our users.In the role of Data Engineer at Lindy, you will collaborate closely with senior leadership, including the CEO, GTM leads, and Head of Engineering, to extract vital business insights from diverse data sources such as product analytics, BI/revenue data, and customer reports. Your responsibilities will encompass the complete data lifecycle, working alongside product and engineering teams to establish crucial analytics metrics, synthesizing data into actionable insights, and communicating these findings across the organization.You will take charge of our data infrastructure, refining Lindy’s ETL pipelines, transformed tables, and other essential data engineering frameworks. This position involves significant collaboration with Lindy’s Head of Engineering and Director of Ops & Analytics. At Lindy, expect a dynamic environment characterized by minimal bureaucracy, high empowerment, and a strong sense of urgency.Note: We are an in-office company located in downtown San Francisco, working four days a week. We provide visa sponsorship and cover relocation expenses up to $20,000.

About LindyAt Lindy, we are dedicated to liberating humanity from the drudgery of work. Imagine a future where your AI partner effortlessly manages your inbox, coordinates your calendar, runs meetings, interacts with clients, and secures deals.It may sound ambitious, but we've already witnessed humanity's liberation from laborious tasks. Our mission is to complete this journey by leveraging AI agents to automate all aspects of knowledge work.We aim to create AI employees capable of collaborating with humans and other AI across various platforms (email, Slack, Zoom, phone calls, etc.), pursuing undefined objectives in fluid environments, and continually learning from each experience.The RoleAs a Full-Stack Software Engineer, you will join a skilled team focused on developing the core Lindy experience, utilizing a comprehensive full-stack Typescript application built with React and Node.js. Our engineering team is compact, agile, and dedicated. You will oversee the entire lifecycle of feature development, from conception to deployment and monitoring. Expect a work environment with minimal bureaucracy and high levels of empowerment, coupled with rigorous expectations and a strong sense of urgency.As we scale rapidly, we're looking for full-stack engineers who can contribute to both our backend services and frontend products, with an emphasis on backend and distributed systems engineering.Explore our Culture Document and review our public Engineering Standards of Excellence.We operate as an in-office company, requiring attendance at our San Francisco office four days a week. We also sponsor visas and cover relocation expenses up to $20,000.What You'll DoAct with urgency to develop critical features, ensuring meticulous attention to detail and high-quality, maintainable code.Take complete ownership of your features from start to finish, including understanding product requirements, coding, testing, observability, rollout, and maintenance.Collaborate closely with the founder, product managers, designers, and other engineers to navigate trade-offs and build a world-class product.

About LindyAt Lindy, we are driven by a revolutionary mission to liberate humanity from mundane work. Imagine having an AI partner that seamlessly manages your inbox, schedules your meetings, communicates with clients, and even closes deals for you!It may sound ambitious, but we have already seen humanity break free from tedious, manual tasks. Now, we are on the verge of completing this journey by harnessing AI agents to automate all knowledge-based work.Our objective is to create AI employees capable of collaborating with both humans and other AI systems across various communication platforms (email, Slack, Zoom, phone calls, etc.), pursuing ambiguous objectives in ever-changing contexts, and continuously learning from their experiences.Our CultureExplore Lindy’s CultureAbout the RoleAs a Senior Product Designer, you will be instrumental in shaping and enhancing the core experience of the Lindy Assistant. By developing a profound understanding of our users and their responsibilities, you will lead user research and usability testing, iterating on designs until they resonate.About YouYou possess a strong understanding of your craft, are collaborative, and are eager to express your creativity and independence in a startup setting. You take pride in ownership, understanding and communicating design trade-offs, and delivering exceptional design that integrates seamlessly into people's daily lives.We are an in-office company, working from our San Francisco office four days a week. We sponsor visas and cover relocation expenses up to $20,000.As part of the design team, you will:Collaborate closely with the founder and our product and engineering teams.Define, prototype, design, and iterate on a remarkable product, from micro-interactions to comprehensive visual language.Conduct research to gain insights into user needs and the challenges they face.Work alongside engineers to navigate design trade-offs and assist in creating a world-class product.

About LindyAt Lindy, we're on a mission to create an AI assistant designed for everyone — not just the tech-savvy or the builders, but for those who simply want to reclaim their time. The Lindy Assistant seamlessly integrates into iMessage, managing emails, calendars, and meetings with just a two-minute setup. We are crafting the essential bridge between powerful AI technology and the everyday lives of real people.The RoleAs a Staff Software Engineer, you will take charge of high-impact projects from inception to production in a dynamic environment where engineers prioritize creating exceptional products. Collaborating within a small, highly autonomous team, you'll be shipping updates multiple times a day. This position is perfect for someone driven by intrinsic motivation to build, who prioritizes speed without compromising quality, and who measures success by the impact of their work in production.

About LindyAt Lindy, we are dedicated to creating an AI assistant that caters to everyday users, not just tech enthusiasts. Our Lindy Assistant integrates seamlessly with iMessage, managing email, calendars, and meetings, and can be set up in just two minutes. We aim to bridge the gap between powerful AI technologies and the lives of real people.The RoleThis internship is not about observing; you'll actively contribute by writing and deploying real code while receiving mentorship akin to that of a junior engineer from your first day. Expect to be challenged and to learn continuously throughout your experience.You will engage with a product that users rely on daily for managing their communications and schedules. With a broad scope and a rapidly evolving codebase, you will encounter a wealth of intriguing challenges to tackle.What You'll DoWrite and deploy production-level code — your work will result in live features, not just prototypes.Engage with the full technology stack: TypeScript/React/Node for the frontend and Python for the backend.Collaborate closely with fellow engineers through code reviews, daily standups, and design brainstorming sessions.Troubleshoot actual issues in a live product environment with real users.Be inquisitive, ask questions, and learn quickly.What We're Looking ForYou are pursuing a degree in Computer Science or a related field, or you are a self-taught programmer—either path is welcomed.You have a portfolio of projects: personal endeavors, hackathon entries, open-source contributions, or similar work.You have proficiency in at least one programming language and can learn new ones with ease.Familiarity with TypeScript, React, or Python is a plus, but expertise in all three is not required.Preferred QualificationsExperience with LLM APIs (such as OpenAI, Anthropic, etc.) or working on AI model applications.Knowledge of agentic workflows or tool-use patterns.You have built or launched something that users find valuable.What You'll ReceiveCompetitive hourly compensation.

About LindyAt Lindy, we are driven by an ambitious vision to liberate humanity from the burden of work. Imagine a world where your AI colleague could efficiently handle your inbox, coordinate your calendar, manage meetings, engage with clients, and even close deals for you.As audacious as this may seem, we believe that humanity has already undergone a similar transformation in the past — we have freed ourselves from arduous manual labor. Now, we are nearing the completion of this journey by harnessing AI agents to automate all facets of knowledge work.Our objective is to develop AI employees capable of collaborating with humans and other AI entities across diverse platforms (email, Slack, Zoom, phone calls, etc.), navigating complex, uncertain goals in ever-changing environments, and learning continuously from their experiences.While this may sound grandiose, it's reminiscent of significant technological advancements throughout history. For instance, in the early 1900s, around 35% of the workforce in Western Europe was engaged in agriculture, mirroring the current involvement in knowledge work in the U.S., which has plummeted to below 4% today.There exists a clear pathway to achieving our goals: recent advancements indicate that large language models excel not only at generating text but also at processing vast amounts of information and taking action based on it, across various systems in pursuit of objectives. In essence, AI employees are on the horizon.Currently, our product enables users to create these “AI agents” through straightforward text prompts, allowing them to automate workflows of varying complexity. Our customers utilize this innovation to significantly enhance their efficiency across multiple functions, encompassing marketing, sales, customer support, personal assistance, and beyond.Our CultureDiscover Lindy’s CultureAt Lindy, you will thrive in an environment characterized by minimal bureaucracy and extensive empowerment, coupled with high expectations and a sense of urgency.Please note: We are an in-office company, operating from our downtown San Francisco office four or more days each week. We also sponsor visas and cover relocation expenses up to $20,000.The RoleAs our Growth Product Manager, you will take charge of optimizing our product-led growth funnel, focusing on user acquisition, activation, and retention through data-driven experimentation and innovative product development.

At Fastly, we empower individuals to forge deeper connections with the things they cherish. Our cutting-edge edge cloud platform enables clients to swiftly, securely, and reliably craft exceptional digital experiences by processing, serving, and safeguarding their applications as close to their end-users as possible — right at the edge of the Internet. This platform is tailored to leverage the modern internet, is highly programmable, and supports agile software development methodologies. Our clientele includes renowned global brands, such as GitHub, Yelp, Paramount, and JetBlue.Join us in our mission to create a more trustworthy Internet.Posting Open Date: March 13th, 2026Anticipated Posting Close Date*: May 30th, 2026*Job posting may close early due to the volume of applicants.Data EngineerAs part of Fastly's Analytics team, you will empower leaders across the organization with actionable data that drives essential business decisions. We are focused on expanding and enhancing our premier internal data platform. In your role as a Data Engineer, you will play a pivotal part in transforming our data infrastructure, optimizing data pipelines on Google Cloud Platform (GCP), scaling the ingestion of complex data sources, and adhering to best practices for performance and reliability. This is your chance to contribute to significant projects within a dynamic, collaborative, and innovative workspace, supporting data scientists, analysts, and business analysts across our organization.

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 AbridgeFounded in 2018, Abridge is dedicated to enhancing understanding in healthcare. Our innovative AI-driven platform is designed specifically for medical conversations, streamlining clinical documentation and allowing healthcare professionals to concentrate on what truly matters—their patients.Our enterprise-grade technology converts patient-clinician discussions into structured clinical notes in real-time, with robust EMR integrations. Leveraging our unique Linked Evidence and auditable AI, we provide the only solution that aligns AI-generated summaries with factual data, enabling providers to trust and verify outputs efficiently. As trailblazers in generative AI for healthcare, we are establishing industry benchmarks for the ethical integration of AI across health systems.We are a dynamic team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers committed to empowering individuals and making healthcare more intelligible. Our offices are located in San Francisco's Mission District, New York's SoHo neighborhood, and Pittsburgh's East Liberty.The RoleJoin our rapidly expanding US-based Data Engineering team as a Data Engineer and play a pivotal role in revolutionizing the medical field with our generative AI products. In this essential position, you will design and optimize large-scale data infrastructure to inform business strategies and drive machine learning research.What You’ll DoDevelop and sustain scalable data services, pipelines, and storage solutions for the ingestion of unstructured application data for machine learning training and evaluation.Create and oversee OLAP databases, ELTs, and general data tools to support analytics, business decision-making, and product features.Collaborate closely with frontend and backend engineers, product managers, and analysts.Enhance data infrastructure to improve system throughput, latency, and reliability.Identify and resolve issues detected through data operation monitors, tools, and reports.Design data integration solutions and establish a data quality framework.What You’ll Bring5+ years of experience in Data Engineering or Backend Engineering focused on data systems.Proficiency in at least one general-purpose programming language (e.g., Python, Java, Scala) and SQL (any variant).Experience with at least one modern cloud service provider (GCP, AWS, Azure, etc.).

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.

Join the Mercor TeamAt Mercor, we are pioneers at the crossroads of labor markets and artificial intelligence research. Collaborating with top AI labs and enterprises, we provide the crucial human intelligence that drives AI development.Our extensive talent network empowers more than 30,000 experts who collectively generate over $2 million a day, training cutting-edge AI models by sharing invaluable knowledge and context that goes beyond mere code. We are dedicated to establishing a new work paradigm where expertise fuels AI progress, and we are looking for driven individuals to join our ambitious and fast-paced team.As a profitable Series C company valued at $10 billion, Mercor emphasizes teamwork in our new San Francisco headquarters, where we work in-person five days a week.Your Role as a Data EngineerWe are seeking a passionate Data Engineer who can bring a full-stack perspective to our data functions. In this role, you will create and maintain robust data pipelines that support our Data Science, Engineering, and Product teams, ensuring seamless data flow across the Mercor organization.Your primary focus will be on data reliability, availability, and timeliness, working closely with our Data Science team and various partner functions to enhance our data capabilities.Key ResponsibilitiesDeveloping robust data pipelines to ingest, transform, and consolidate data from various sources, such as MongoDB, Airtable, and production databases.Designing dbt models and transformations to standardize and unify disparate data tables into clean, production-ready schemas.Implementing scalable and fault-tolerant data workflows using tools like Fivetran, dbt, SQL, and Python.Collaborating with engineers, data scientists, and business stakeholders to ensure data accuracy, availability, and usability.Owning data quality and reliability from ingestion to consumption across the data stack.Continuously monitoring and enhancing pipeline performance and scalability.QualificationsProven experience in data engineering, with strong proficiency in SQL, Python, and modern data stack tools such as Fivetran, dbt, Snowflake, or similar.Experience in building and maintaining large-scale data pipelines and workflows.Strong problem-solving skills and a collaborative mindset, with a focus on effective communication.

About UsTwitch stands as the premier live streaming platform globally, fostering vibrant communities centered around gaming, entertainment, music, sports, cooking, and beyond. Each day, countless communities unite here for diverse experiences.At Twitch, community is at our core. You'll collaborate with enthusiastic colleagues who are driven to solve challenges together. Join us in our mission to empower live communities. Explore our journey on LinkedIn, X, and discover our innovative projects on our Blog. Don't forget to check out our Interviewing Guide to prepare for your interview with us.

Airtable is the leading no-code app platform that empowers individuals closest to their work to expedite critical business processes. Over 500,000 organizations, including 80% of the Fortune 100, depend on Airtable to revolutionize their workflows.At Airtable, we are dedicated to democratizing software development—enabling anyone to create powerful, adaptable tools without needing to code. Our transition to an AI-native platform allows customers to generate complete applications and seamlessly integrate AI agents into their operations. Data engineering is pivotal in this transformation, providing the insights necessary for our teams to enhance user experiences, gauge agent effectiveness, and assess business performance on a large scale.As a Data Engineer at Airtable, you will play a vital role in our data engineering initiatives. You'll design and manage essential data pipelines that facilitate informed decision-making, collaborate with company leaders to develop scalable data solutions, and implement innovative alerting and visualization systems.

Join promise as a Data Engineer and play a pivotal role in our mission to harness data for impactful insights. You will design, construct, and maintain robust data pipelines and architecture, ensuring our data systems are efficient and scalable. Collaborate closely with data scientists and business stakeholders to transform raw data into actionable intelligence.

About RoxRox is pioneering an AI-native revenue operating system designed specifically for modern go-to-market teams. Supported by notable investors such as Sequoia, GV, and General Catalyst, we are collaborating with ambitious enterprise teams to transform fragmented CRM workflows into intelligent, autonomous systems. Rox seamlessly integrates data across the GTM stack, deploys AI agents for tangible tasks, and equips revenue leaders with a clear, unified view of the key drivers of success.As a nimble Series A startup, we are challenging one of the most established categories in software—achieving victory through a blend of deep technical expertise and an unwavering focus on utility.About the Solutions Engineering TeamAt Rox, the Solutions Engineering team is not merely a support function; it plays a crucial role in shaping products and defining deals. This team operates at the intersection of Sales, Product, and Engineering, tasked with translating Rox’s technical capabilities into compelling customer value.You will join the foundational team in San Francisco, reporting directly to our Solutions Engineering leader. Working alongside three current Solutions Engineers, you will help establish how this function scales in SF. The practices you develop—such as how we demo, scope, integrate, and sell—will serve as the blueprint for the future of the company.About the RoleThis is a founding-level Solutions Engineer role for individuals who are technical, customer-focused, and passionate about redefining the sales engineering landscape.Your responsibilities will involve engaging directly with live deals: conducting technical discovery, crafting integrations, and leading demonstrations that clearly illustrate how Rox fits within customers’ data and GTM environments. This role transcends mere execution; you will identify inefficiencies in the sales process and implement improvements—enhancing demo experiences, refining technical narratives, and setting higher standards for those who follow.If you thrive on being the go-to person who can delve deeply into technical aspects while simplifying complexity for others, this role is tailored for you.What You’ll DoQuickly become a product expert, gaining deep insights into Rox’s architecture, use cases, and customer workflows.Collaborate closely with Sales to deliver impactful technical demos and support deals from initial contact to closure.Design and articulate integrations across data warehouses, CRMs, AI agents, and contemporary GTM tools.Facilitate technical discovery discussions that uncover genuine customer challenges rather than just stated requirements.Translate complex technical information into easily digestible insights for stakeholders.

At Point, we're redefining the banking landscape by transforming the everyday debit card into a gateway for rewards and benefits. Join our innovative team as we embark on this exciting journey!We are seeking a skilled Data Engineer to lead our data initiatives at Point. In this role, you will be responsible for designing and implementing robust data pipelines and systems that will support the development of cutting-edge algorithms and models. You will have full ownership of our data infrastructure while establishing the groundwork for data engineering practices at Point. Collaborating closely with both the engineering and data science teams, you will play a pivotal role in driving product initiatives and achieving our business objectives. This position reports directly to the CTO.Discover more about Point's vibrant culture and dedicated team here.

At Discord, we're more than just a communication platform. With over 200 million active users each month, we empower communities to connect and engage, especially in the world of gaming. Our platform supports more than 90% of users who love gaming, contributing to an astonishing 1.5 billion hours spent in our environment every month. As we shape the future of gaming, we're committed to enhancing the social experience of gaming by making interactions before, during, and after gameplay seamless and enjoyable.Join Our Team! Discord is on the lookout for a dedicated and innovative Data Engineer to be a pivotal part of our Data team! In this role, you will collaborate extensively with our Data Science and Engineering teams to create and maintain crucial high-leverage datasets that drive our analytical tools, models, and overall strategies. Your contributions will directly influence how we identify opportunities for growth, measure our success, and make informed decisions across various teams, including our safety and growth initiatives. If you are excited about leveraging data to create impactful solutions and thrive in a collaborative environment, we would love to hear from you!

Join Fluency: Pioneering the Autonomous EnterpriseAt Fluency, we are on a mission to revolutionize enterprise intelligence. As an AI Data Engineer, you will be instrumental in constructing the data infrastructure that underpins our innovative solutions. Forget merely connecting dashboards; we are creating robust pipelines that extract, manage, and organize raw data from real-world workflows at an unprecedented scale.We seek an AI Data Engineer who will design and implement data systems crucial for our process conformance, productivity metrics, and AI impact assessment across leading Fortune 500 companies.The Challenge AheadYou will tackle the complexities of handling unrefined, real-world data signals such as screenshots, OCR text, application metadata, and user behavior events. Your goal will be to convert this unstructured data into actionable, reliable insights that our machine learning systems can utilize effectively, all while adhering to strict cost constraints.Core responsibilities include:Designing ingestion pipelines capable of processing millions of daily screenshots and behavioral events.Developing data validation and quality control systems to prevent model corruption due to data drift.Creating feature stores and serving infrastructure that balances data freshness with computational costs.Optimizing storage and querying for time-series behavioral data.Orchestrating intricate directed acyclic graphs (DAGs) that synchronize OCR, large language model (LLM) enhancements, and downstream aggregations.This is a groundbreaking role where you will define the playbook for data engineering in a rapidly evolving environment. Backed by top-tier venture capitalists like Accel, we are experiencing rapid growth and engagement with enterprises worldwide.You will collaborate closely with the founders and our engineering team, tackling technical challenges that encompass data engineering, LLM pipelines, and production systems.

Join Our TeamAt Finix, we revolutionize payment processing, allowing businesses of all sizes to move and make money effortlessly. Our full-stack acquiring processor facilitates billions in transactions annually, offering modern, flexible payment solutions. Whether you’re in SaaS, e-commerce, or marketplace sectors, our no-code and low-code tools empower you to accept payments, manage payouts, and onboard merchants in just hours, not months.Having secured over $175M in funding, including a notable $75M Series C led by Acrew Capital, we have strong backing from prominent investors like Lightspeed Venture Partners and Sequoia Capital.Role OverviewAs a Senior Data Engineer, you will be a cornerstone of Finix’s data ecosystem. You will manage our reporting cluster, ensuring data integrity and crafting tools, frameworks, and pipelines that serve as the backbone of our operations. Your expertise will enable our teams to derive actionable insights from complex datasets, facilitating critical business decisions. Collaborating closely with operations, product, and analytics teams, you will ensure that the right data is available to drive timely decisions for both Finix and our customers.