Data Science Engineer, Contracts

Turquoise Health is a Series C price transparency platform for finance leaders across healthcare. The Data Science Engineer will support the Clear Contracts initiative by building data solutions and maintaining software and data pipelines to enhance contract management.

Responsibilities:

• Build and maintain software and data pipelines in support of contract management and AI-assisted workflows
• Work cross-functionally with Product, Engineering, and subject matter experts to conceptualize, prototype, and build data solutions
• Contribute to data capabilities around contract modeling, automated pricing, and payer policy intelligence
• Draft technical design and documentation
• Seek and prioritize technical and product feedback from internal customers
• Iterate quickly with an eye towards value

Requirements:

• Bachelor's degree or equivalent experience. Non-traditional backgrounds welcome
• 2+ years developing data models, pipelines, and end-to-end analytical solutions in Python and SQL. Comfortable with OOP and functional patterns, code organization beyond scripts, and debugging workflows
• Experience with dataframe libraries (pandas, polars)
• Familiarity with backend web app development (Django) or willingness to learn
• Experience with ETL/ELT workflows and orchestration (Airflow, dbt); comfort with cloud services (AWS S3, EC2, RDS)
• Ability to design data systems with scalability, performance, and cost efficiency in mind, particularly for compute- and data-intensive workloads
• Entrepreneurial mindset: you prioritize tasks with an eye for evolving business needs
• Comfortable working remotely in a collaborative, technical team
• Healthcare administrative data (claims, eligibility) ETL or analysis
• Revenue cycle and healthcare payments
• Payer-provider contracts (aka, managed care)
• Text classification or entity resolution
• RAG pipelines, vector databases, or retrieval evaluation
• Thoughtful use of AI coding agents and LLMs in development workflows