Senior Data Engineer

San Francisco Officefull timeOn Site

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senior

$175k–$275k

H1B: no

Healthleap Senior Data Engineer at Healthleap builds and operates data pipelines that move clinical data from hospital systems into ML models, analytics, and APIs. The role ensures data usability, reliability, and correctness across the data stack.

Responsibilities

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.
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.

Qualification

What will make you stand outExperience with clinical dataThis role is NOT for you ifYou want predictable 9-to-5 hoursInterview process

Required

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.
What will make you stand out
Experience building data pipelines for ML products.
Experience with clinical data, EHRs, HL7, or FHIR.
Early-stage experience building and operating core data systems.
This role is NOT for you if
You want to own one piece of the data stack. You’ll work across ingestion, model inputs, analytics, and product APIs.
You want predictable 9-to-5 hours. We protect deep rest, but a hospital go-live can mean a 60+ hour week.
Interview process

Preferred

Experience building data pipelines for ML products
Experience with clinical data, EHRs, HL7, or FHIR
Early-stage experience building and operating core data systems

Benefits

401(k)
PTO
Equity/RSU

Company

Healthleap

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Source: ashby

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