Senior Data Engineer
HealthLeap•San Francisco, CA
•Hybrid
About The Position
HealthLeap runs on data. We’re live at 40+ hospitals and plan to add another 100. You’ll build the core pipelines that move messy clinical data from hospital systems into model inputs, analytics, and the APIs behind what clinicians see. You’ll make that data usable and reliable. When a feed arrives late, a field changes, or a number looks wrong, you’ll trace it through the system and fix the cause.
Requirements
- 5+ years building production data systems, with strong Python and SQL.
- Experience owning pipelines that depend on messy, changing external data.
- Strong data modeling and judgment about correctness, monitoring, and recovery.
- The ability to trace a problem across systems and own the fix through production.
Nice To Haves
- Experience building data pipelines for ML products.
- Experience with clinical data, EHRs, HL7, or FHIR.
- Early-stage experience building and operating core data systems.
Responsibilities
- Build and operate pipelines from hospital ingestion through transformation and delivery.
- Produce trusted data for ML pipelines, customer analytics, and user-facing APIs.
- Define data contracts and checks that catch missing records, schema changes, and incorrect values.
- Handle backfills, late data, failures, and recovery.
- Work with integration, ML, and product engineers to get data reliably where it needs to go.
Benefits
- 100% covered healthcare premiums
- Unlimited PTO with a 20-day minimum
- 4% 401(k) match
- Laptop and home office budget
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
