Senior Data Engineer

Senior Data Engineer 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. 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 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. Compensation and benefits $175,000–$275,000 base plus meaningful equity 100% covered healthcare premiums Unlimited PTO with a 20-day minimum 4% 401(k) match Laptop and home office budget Location San Francisco, in person. We work together in the office by default, with flexibility to work from home when needed. We judge output, not hours. If you're passionate about applying frontier AI to real-world impact, join us in building healthcare's future. Healthleap AI