Senior Data Engineer - HealthTech AI$150,000-$200,000 Equity | Fully Remote (U.S.) | Full-Time You'll join a 35 person Data Engineering team building AI-powered clinical products used by major U.S. healthcare organisations. This is a hands-on role focused on building scalable data pipelines that directly support real-world patient care.
What You'll Do- Build and maintain production data pipelines
- Develop data workflows primarily in Python
- Ensure high data quality and reliability
- Work with large-scale cloud data platforms
- Contribute to reusable tooling and frameworks
Requirements- 4 years in Data Engineering
- Strong Python skills (core requirement)
- Strong SQL experience
- Experience with Databricks, Snowflake, or Microsoft Fabric
- Azure cloud experience
- Experience with distributed data processing
Nice to Have- Healthcare or EHR data experience
- Lakehouse or real-time pipeline exposure
- SaaS / multi-tenant platform experience
Tech Stack: Python • SQL • Databricks • Snowflake • Fabric • PySpark • Azure Data Factory • CI/CD
Why Join?- High-growth HealthTech AI company with strong funding
- Real ownership in small, collaborative teams
- Clear progression to Staff / Director level
- Competitive salary, equity, and strong benefits
- Meaningful work with real healthcare impact
Please note: This is a permanent opportunity only - no C2C or contract engagements.
