Sprinter Health is looking to solve the problem of delivering high-quality, preventive care directly into patients’ homes by building a Clinical Data Platform that unifies clinical, operational, and logistics data.
Requirements
- 5+ Years of Data Analytics, Data Science or Data Engineering Experience
- Strong experience with Python or TypeScript
- Deep understanding of scalable data systems, ETL/ELT pipelines, and observability best practices
- Hands-on with BigQuery, Airflow, DBT, or AWS Glue
- Familiarity with varied database types (relational, document, columnar, key-value, vector, etc.)
- Experience with BigQuery, DBT, Airflow, AWS Glue, or similar ETL/ELT tools
- Scalable & high-performance data systems: Designing, building, and optimizing data architecture, queries, pipelines, and integrations
Responsibilities
- Uncover care gaps and predict patient risk through structured longitudinal data
- Generate pre-visit clinical summaries via LLMs grounded in patient history
- Standardize engagement + visit data across diverse EHR and claims formats
- Catch anomalies and errors in inbound medical data using automated validation
- Build a robust data warehouse from the ground up—supporting ML, reporting, and downstream systems
- Own key technical decisions and help build a small, senior team around you
- Lead and shape Sprinter’s new Clinical Data Platform team
Other
- Experience leading technical projects and shipping high-impact systems
- Comfortable breaking down work and guiding teammates
- Bonus: people management experience or interest in growing a team
- 100% of family premiums covered for health, dental, vision
- 401(k) matching
- Unlimited PTO + hybrid work (3 days/week in-office)
