Staff Data Engineer- RWE

New York · Staff+

Sponsorship not specified$170k-$190kDetected 245 days ago

PythonGitSQLAWSCloud PlatformsCI/CDCircleCIKafkaSparkAirflowData EngineeringData ScienceAI OrchestrationJiraEHR/EMRLeadershipMentoring

About the role

Data Engineering is responsible for the development and delivery of our most important asset, our data.
ABOUT YOU You're a hands-on Staff IC and technical leader who thrives in complex data environments.

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.
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.
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.
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.
Develop deep domain expertise and mentor other engineers, helping raise the technical bar and influence the evolution of our data products.
You collaborate effectively across functions, help others move faster, and are comfortable working across the full data and infrastructure stack.
You bring deep experience building and evolving large-scale data architectures, pipelines, or distributed systems.

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.

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.
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)..
Anticipated role close date: 7/28/2026

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

At H1, we believe access to the best healthcare information is a basic human right.
This promotes health equity and builds needed trust in healthcare systems.
Own the end-to-end architecture for critical data assets, ensuring solutions are scalable, reliable, and aligned with H1's long-term vision.

Our mission is to provide a platform that can optimally inform every doctor interaction globally.
Visit h1.co to learn more about us.

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.

This listing is sourced directly from H1's careers page and normalized into a canonical job model.