Senior Data Engineer, HealthLeap AI

• 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

Desirable

• 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

• No LeetCode or puzzles. Use the tools you’d use on the job, including AI
• Intro call
• Data pipeline design
• Practical data exercise
• Onsite with the team in San Francisco
• We decide the same week as the onsite