Clinical Data Engineer
Flatiron Health · New York, NY · Hybrid
Salary range sourced from Levels.fyi, Pave, and Synaxia placement history · Company intel: Crunchbase · StackShare · BuiltWith
About the role
Build pipelines that turn oncology EHR feeds into research-grade datasets. We're looking for someone curious, pragmatic, and eager to work across the stack with a small senior team. You'll own end-to-end delivery of major features, influence architecture, and mentor engineers.
What you'll do
- Ship customer-facing features on a weekly cadence.
- Partner with design and product on scoping and trade-offs.
- Drive technical quality through review, testing, and docs.
- Mentor one or two engineers on your team.
Requirements
- 4+ years data engineering
- Healthcare or life-sciences data experience
- Airflow / dbt
PythonAirflowGCPOncology
Hiring process
- Application review · 2 days
- Recruiter screen · 30 min
- Technical interview · 90 min
- Onsite loop · 3–4 hours
- Offer
Company
F
Flatiron Health
Data Platform · 51 applicants
Mission-driven team building for a global audience. Remote-first, async-leaning, ships twice a week.
Why you'd fit
- Your top skills match 4/5 requirements
- Salary range matches your preferences
- Location match: New York, NY · Hybrid
- Add 2 more healthcare projects to your profile to lift your match score