Responsibilities:
- Work cross-functionally with Product and subject matter experts to conceptualize, prototype, and build data solutions
- Connect disparate datasets (e.g. claims, contract rates, demographics data) to empower internal and external stakeholders
- Build and maintain data engineering systems that support AI use cases
Requirements:
- 5+ years of experience developing data models, pipelines, and end-to-end analytical solutions using Python and SQL
- Strong grasp of data architecture and engineering practices, including ETL/ELT workflows, orchestration tools (e.g., Airflow, dbt), and cloud-based storage (e.g., S3, Redshift)
- Experience building and operating production-grade data pipelines that support AI and LLM-powered applications
Benefits:
- Competitive pay with equity options
- Stellar health care plan options (Medical, Dental & Vision), with FSA, DCFSA, & HSA options
- Unlimited PTO
Turquoise Health
Turquoise Health aims to make healthcare pricing simpler, more transparent, and lower cost. They are a Series B startup backed by top VCs with an accomplished group of folks with a passion for improving healthcare.