Senior Data Engineer

The role

You will build and operate pipelines that move clinical data from hospital systems into model inputs, analytics, and APIs. You will ensure data is usable and reliable by tracing and fixing issues across the system.

What you will do

• 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.

Required qualifications

• 5+ years building production data systems
• 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 have

• 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

• 100% covered healthcare premiums
• Unlimited PTO with a 20-day minimum
• 4% 401(k) match
• Laptop and home office budget

Before you apply

• Interview process includes an intro call, data pipeline design, practical data exercise, and onsite in San Francisco.

About the company

Healthleap is building the AI operating system that helps care teams identify missed patients to improve health outcomes. The company is SF-based and has raised $38M.