Data Science Engineer, Contracts

Description

We’re looking for a driven, entrepreneurial Data Science Engineer to join our team and help eliminate the financial complexity of healthcare. You'll join our Data Science Engineering team supporting Contracts, embedded with product engineering to turn complex payer-provider contracts into structured, usable pricing data.

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

What you’ll bring to the role

• 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

Bonus points for experience with

• 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

Benefits

• Competitive pay with equity options

• Stellar health care plan options (Medical, Dental & Vision), with FSA, DCFSA, & HSA options

• Company-sponsored disability & life insurance

• Unlimited PTO

• 401(k) + 4% Matching

• Fully remote work + flexible working hours

• $750 work-from-home setup budget

• Paid bi-annual in-person company gatherings

• Quarterly $150 co-hanging stipend to meet up with coworkers

• Monthly $100 health and wellness benefit

• Generous paid family leave

• Annual $1,200 learning & development stipend

Turquoise Health is a Series C price transparency platform for finance leaders across healthcare. Backed by a16z, Oak HC/FT, Adams Street, Yosemite, Bessemer Venture Partners, and others, we power price transparency for 300+ enterprise organizations and are building the infrastructure for a more open, efficient healthcare marketplace. We're a remote-first, US-based team that values transparency, empathy, inclusivity, creativity, and ownership.

We operate on US business hours and work with clients entirely based in the US. For this role, we are seeking US-based candidates.

We strongly encourage BIPOC, people with disabilities, and LGBTQIA+ folks to apply for any open roles of interest. Healthcare affects all people differently, but it significantly affects those in underserved communities. With a robust, diverse team, we are stronger and better equipped to change the future of healthcare for all.

Turquoise is committed to providing reasonable accommodations to applicants and employees with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require assistance or an accommodation with the hiring process, please contact [email protected]