Healthcare Data Engineer at Habitat Health | San Francisco, CA

Charter:Join a pioneering team dedicated to developing the first precise AI systems for predicting drug toxicity, aiming to replace traditional lab and animal experiments.About Axiom and the role:At Axiom, we are committed to creating advanced AI systems for drug safety and toxicity evaluation. Drug toxicity is a leading cause of failure in drug development, and by addressing this challenge, we can accelerate the delivery of innovative medicines to patients. We are seeking a passionate Data Engineer to lead the design and implementation of pipelines, systems, and tools that transform raw chemical, biological, and clinical data into machine learning-ready datasets and actionable insights for our clients. This role involves close collaboration with our machine learning, laboratory, and product teams to develop literature research and data platforms driven by large language models (LLMs), enhance the inference capabilities of image and graph neural networks, automate ETL processes from various sources, and uphold the integrity of critical datasets that inform key decisions within the organization.What we are looking for:We aim to attract individuals who inspire and elevate our entire team. Ideal candidates will bring high energy, autonomy, and a discerning eye for what truly matters. They should embody a proactive mindset that continuously identifies necessary actions and executes them. Candidates must possess technical excellence, a deep mastery of their craft, and an insatiable curiosity that keeps them at the cutting edge of technology while effectively interfacing across AI, engineering, product, biology, chemistry, and business domains. Although they may have experience in larger tech firms, they seek a challenging adventure that promises significant rewards and satisfaction at the end.What you will be doing:Design and maintain Axiom's core research platform data systems, encompassing ingestion, processing, storage, and serving capabilities.Collaborate with scientists to define their data requirements and develop streamlined APIs for accessing chemical and biological datasets.Architect LLM systems to curate, cleanse, and analyze human clinical trial data, ensuring proper evaluations and observability for these systems.Create distributed systems for executing large-scale LLM tasks that clean and curate biological and clinical data.Establish quality assurance measures, testing tools, and monitoring systems to maintain the accuracy and reliability of data and model outputs.

Role overview Axiom Bio is looking for a Platform Engineer to join the team at the San Francisco Global HQ. The focus is on building and supporting scalable platforms that enable bioinformatics research. What you will do Collaborate with colleagues from a range of disciplines to design, implement, and maintain platforms for scientific teams Create systems that streamline research workflows and improve efficiency Support projects aimed at advancing bioinformatics capabilities Location This role is based on site at Axiom Bio's San Francisco Global HQ.

About Axiom: Axiom is the go-to destination for legal teams seeking the ideal talent for a diverse range of tasks, from standard in-house responsibilities to intricate outside counsel assignments. Legal departments often face the dilemma of high law firm fees, unnecessary full-time hires, or low-cost agencies that fail to meet quality expectations. Simultaneously, top legal professionals are eager to tackle challenging matters while maintaining control over their work conditions. Axiom bridges this gap by connecting mid-market and Fortune 500 companies with an extensive pool of experienced, specialized legal talent, adhering to the motto: 'work smarter, adapt faster, go further.' About the Team: At Axiom, we strive to infuse fresh energy and innovative thinking into a field bound by tradition. Our passion for the company we are building is palpable. We are dedicated to our mission and our people, celebrating successes, learning from setbacks, and finding opportunities in challenges. Our culture is built on inspiring collaboration, genuine relationships, and a commitment to listening and understanding our colleagues and clients. Our People: Innovative thinkers who challenge the status quo. Demonstrate an exceptional work ethic and a commitment to quality. Continuously seek personal growth and development. Embrace a positive outlook and assume the best intentions. Foster strong relationships and collaboration across diverse perspectives. Value learning from differing viewpoints. Leave a meaningful, lasting impact on those around them. About the Role: We are on the lookout for sales professionals to drive our growth across various sectors, including Technology, Financial Services, Consumer Services, Life Sciences, and Industrials/Energy Tech. We seek energetic evangelists—salespeople who can envision a prosperous future for clients, guide them toward that vision, and build enduring partnerships that surpass expectations. This role is tailored for a consultative seller who excels in engaging with executive-level decision-makers to develop solutions for their most pressing challenges. You will enjoy a high level of accountability and ownership over your work.

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 our dynamic team at tvScientific as a Senior Data Engineer. In this role, you will play a pivotal part in shaping our data infrastructure, enhancing our analytics capabilities, and driving data-driven decision-making across the organization. You will collaborate closely with cross-functional teams to implement innovative data solutions that support our strategic objectives.

Join Crusoe as a Senior Data Engineer, where you will play a critical role in enhancing our data infrastructure and analytics capabilities. You will be responsible for designing, developing, and maintaining robust data pipelines to support our cutting-edge applications.As a key member of our engineering team, you will work closely with data scientists and analysts to ensure that data is accessible, accurate, and actionable.

About CartesiaAt Cartesia, our vision is to create the future of artificial intelligence—intelligent systems that are seamlessly integrated into daily life. We aim to overcome current limitations by enabling models to continuously understand and analyze vast streams of audio, video, and text data—ranging from 1 billion text tokens to 1 trillion video tokens—right on your device.Our pioneering team, comprised of PhDs from the Stanford AI Lab, has developed State Space Models (SSMs), a groundbreaking approach to training efficient, large-scale foundation models. With a rich blend of expertise in model innovation and systems engineering, alongside a product-focused engineering team, we are committed to developing and delivering cutting-edge AI models and user experiences.Supported by prominent investors including Index Ventures and Lightspeed Venture Partners, as well as many esteemed advisors and over 90 angel investors from diverse industries, we are at the forefront of AI advancements.About The RoleIn our quest to create truly global AI, we must train our models using datasets that represent the vast diversity of languages and cultures around the world. We are looking for a Research Engineer to take charge of the quality and comprehensiveness of the data that drives our models. As our in-house expert in global data, you will ensure that our models excel across multiple languages, leveraging your keen understanding of linguistic subtleties and your enthusiasm for building inclusive, large-scale datasets.Your ImpactDesign and construct extensive datasets for model training, conducting controlled experiments to evaluate their effect on model performance.Develop assessments for speech models through both manual annotation and automated evaluation metrics.Utilize data generation techniques to enhance model intelligence and reduce biases.Create automated quality control systems to validate and filter the generated data.Collaborate with product teams to ensure optimal support for key languages and markets.What You BringProven experience in developing or working with extensive multilingual datasets.Familiarity with generative models, including speech, text, or multimodal systems.Ability to guide human annotation and evaluation across various languages.Strong analytical skills and a passion for data-driven decision-making.

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 Pinterest Pinterest helps millions of people worldwide discover new ideas, try fresh possibilities, and collect inspiration for their lives. The company’s mission is to empower individuals to curate a life they love, starting with a talented and diverse team. Pinterest values innovation and encourages employees to fuel growth for millions. Team members are supported in turning passion into opportunity, and the company celebrates different backgrounds while offering flexibility to help everyone do their best work. AI plays a central role at Pinterest, serving as a partner to boost creativity and impact. The hiring process focuses on both foundational skills and how candidates collaborate with AI. For more on Pinterest’s approach to AI in hiring, see this overview. About tvScientific tvScientific is a leading CTV advertising platform built for performance marketers. The platform uses large-scale data and advanced technology to automate and optimize TV advertising, helping businesses achieve measurable results. Media buying, optimization, measurement, and attribution all work together in a single solution. The team behind tvScientific includes experts in programmatic advertising, digital media, and ad verification, building tools for advertisers focused on business growth. Role Overview: Staff Data Engineer The Staff Data Engineer will lead the design, implementation, and improvement of identity services and the data governance platform at tvScientific. This role is critical for maintaining data integrity, privacy, and governance across the company. The position involves working at the intersection of data engineering, identity resolution, privacy, and platform reliability. As an individual contributor, the Staff Data Engineer will help define and carry out the strategic vision for data engineering within the organization. Location San Francisco, CA, US or Remote, US

Join Our Team as an M&A Lawyer at Axiom Location: San Mateo Are you an accomplished M&A Lawyer looking to elevate your career with a leading semiconductor client? Axiom is seeking a dynamic candidate with extensive experience in M&A law, proficient in managing and executing high-stakes transactions. This is a full-time, hybrid role based in San Mateo, California, where you will work closely with our legal team and collaborate cross-functionally with finance, HR, IP, privacy, engineering, and executive leadership.

Employee Applicant Privacy NoticeAbout Us:Join us in shaping a brighter financial future. At SoFi, we are revolutionizing the personal finance experience for our millions of members through innovative mobile technology.As a next-generation financial services company and national bank, we pride ourselves on being at the forefront of an unprecedented transformation in the industry. Our core values guide our efforts every day, driving meaningful changes that impact people's lives. Invest in yourself, your career, and the financial world with us.SoFi is on the lookout for a seasoned and driven Senior Staff Data Engineer to lead our Data Engineering group within the SoFi Data Platform (SDP) division. The SDP's mission is to harness data across SoFi, enabling the development of personalized and engaging experiences for our members.The Role:In this position, you will have the chance to significantly influence and steer the architecture of our next-generation AI-powered SoFi Data Platform (SDP). You will enhance data reliability through AI-driven workflows, tools, and practices. You will be responsible for leading, defining, and tackling complex problems in a fast-paced, collaborative environment. The ideal candidate will be a mentor and technical leader who is hands-on, with a strong sense of ownership and a commitment to delivering results.

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.).

Join baseten as a Data Engineer and be at the forefront of data-driven innovation. In this role, you will design and implement robust data pipelines, ensuring the efficient processing and analysis of data to empower our products and decision-making processes. Collaborate with cross-functional teams to understand their data needs, while striving for optimization and scalability in data architectures.

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.

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.

The biotechnology sector is revolutionizing our world, influencing everything from the medications we consume to the crops we cultivate, the apparel we wear, and the household essentials we depend on each day. To keep pace with the rapid advancements in science, we require superior technology.Benchling is dedicated to unleashing the potential of biotechnology. The most pioneering biotech firms utilize Benchling’s R&D Cloud to facilitate the creation of groundbreaking products and expedite their journey to market and milestone achievements.Join us in our quest to modernize software for contemporary science.ROLE OVERVIEWBenchling aims to fast-track life sciences research and development. We develop a comprehensive suite of tools that scientists employ daily to address critical global challenges. Our tools must be fine-tuned to enhance scientists' efficiency across a wide range of research, development, and manufacturing processes. This is where our Data Input team plays a crucial role.The Data Input team is responsible for creating platforms and user experiences that empower scientists and lab operators to efficiently gather and manage their data. We design structured tables, forms, and data entry tools that allow scientists to input, transform, and relay their laboratory data seamlessly. Our focus encompasses not only the user experience for scientists in the lab but also the integration capabilities for software developers who utilize our components in their applications. Increasingly, we are integrating AI-driven features that make data entry quicker, more precise, and more insightful.Our team is responsible for components utilized by over 90% of Benchling's customers and plays a pivotal role in initiatives that have a company-wide impact. Currently, we are concentrating on enhancing the fundamental capabilities of the platform that is the backbone for Benchling's most essential applications—investing in foundational re-architecture, performance enhancements, and scalability efforts that will unlock new APIs, AI features, and future product functionalities. This is technically challenging work that requires careful planning and a long-term perspective. This position is perfect for managers who thrive in deep technical environments, have a proven history of guiding teams through extensive refactoring and platform migrations, and take pride in constructing the foundations that lead to significant customer successes.