Staff Data Engineer

At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI‑technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerate an equitable and inclusive drug development lifecycle. Visit h1.co to learn more about us. Data Engineering is responsible for the development and delivery of our most important asset, our data. Across thousands of data sources globally, the team ensures that only accurate, normalized data flows to our customers, at the speed required to match real‑world changes. As we expand the markets we serve and increase the breadth and depth of data we capture, we need senior technical leaders who can drive execution, scalability, and architectural excellence. What you’ll do at H1 As a Staff Data Engineer on the Real World Evidence (RWE) team, you’ll be one of the most senior individual contributors and a key technical leader for our largest datasets and pipelines. You’ll drive some of H1’s most visible data initiatives and help reduce bottlenecks across teams, providing critical technical leadership support during US hours. Act as a self‑starter who drives execution independently, taking ownership and initiative with minimal need for day‑to‑day direction. Lead high‑visibility RWE projects, starting with claims data, and keep multiple initiatives moving by proactively unblocking teams. Own the end‑to‑end architecture for critical data assets, ensuring solutions are scalable, reliable, and aligned with H1’s long‑term vision. Design, build, and optimize large‑scale data pipelines (hundreds of TBs) for performance, reliability, and cost efficiency. Partner with Product, Data Science, and downstream engineering teams to align priorities, manage dependencies, and deliver high‑value outcomes. Represent engineering in cross‑functional forums, shaping roadmaps and reducing reliance on senior leadership for day‑to‑day decisions. Develop deep domain expertise and mentor other engineers, helping raise the technical bar and influence the evolution of our data products. About you You’re a hands‑on Staff IC and technical leader who thrives in complex data environments. You bring clarity to ambiguity, turn messy problems into reliable systems, and operate with a strong sense of ownership and impact. You collaborate effectively across functions, help others move faster, and are comfortable working across the full data and infrastructure stack. You have a proven track record of leading large, complex technical projects from concept to production. You bring deep experience building and evolving large‑scale data architectures, pipelines, or distributed systems. You operate well in high‑ambiguity environments, make pragmatic trade‑offs, and keep execution moving. You communicate clearly with both technical and non‑technical partners and influence direction without needing formal authority. You raise the bar for engineering excellence through thoughtful design, high‑quality code, and strong documentation. You invest in others through mentorship, pairing, and constructive feedback. Requirements 8+ years as a software, data, or backend engineer building and operating scalable, production‑grade systems. Experience with large‑scale data processing (e.g., Spark/PySpark on EMR or similar) or scalable distributed backend systems, with the ability to quickly deepen expertise in our data stack (PySpark, EMR, Hudi/Delta). Strong proficiency in SQL, including writing and optimizing complex queries over large datasets. Strong programming experience in Python (or a modern language with the ability to quickly ramp up in Python). Experience designing systems or large‑scale datasets/pipelines with attention to performance, reliability, and maintainability. Hands‑on experience with modern engineering workflows and tooling such as Git, JIRA, and CI/CD systems (e.g., CircleCI). Comfort deploying and troubleshooting distributed workloads in cloud environments such as AWS EMR or Kubernetes. Experience with workflow orchestration or job scheduling tools (e.g., Airflow, Argo). Demonstrated ability to independently drive complex, cross‑team technical initiatives and influence stakeholders without formal authority. Experience with streaming/messaging technologies (e.g., Kafka, Kinesis) nice to have. Background in RWE, healthcare data, or other complex/regulated data domains is preferred. Experience using AI‑assisted coding tools (e.g., GitHub Copilot, Claude Code) to accelerate development while maintaining quality is encouraged. Compensation This role pays $170,000 to $190,000 per year, based on experience, in addition to stock options. H1 offers Full suite of health insurance options, in addition to generous paid time off. Pre‑planned company‑wide wellness holidays. Retirement options. Health & charitable donation stipends. Impactful Business Resource Groups. Flexible work hours & the opportunity to work from anywhere. The opportunity to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare around the globe. H1 is proud to be an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and teammates. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, ancestry, national origin, religion, disability, sex (including pregnancy), age, gender, gender identity, sexual orientation, marital status, veteran status, or any other characteristic protected by law. H1 is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you require an accommodation, please reach out to your recruiter once you’ve begun the interview process. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law. #J-18808-Ljbffr Menlo Ventures