Data Science Engineer, Analytics

This is a fully remote role within the United States.

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 analytics, partnering closely with Product, Engineering, and business stakeholders to help Turquoise grow and scale our impact by making better decisions with data. From defining product metrics and measuring customer engagement to enabling self-service analytics and evaluating business initiatives, you'll build the datasets, pipelines, dashboards, and analyses that transform data into actionable insights across the company.

Responsibilities

• Partner cross-functionally with Product, Engineering, and business stakeholders to define metrics, measure outcomes, and evaluate impact

• Build and maintain data pipelines, data models, dashboards, and analytical infrastructure that support product, operational, and strategic decision-making

• Conduct analyses to understand product adoption, customer engagement, business performance, and operational efficiency

• Contribute to the development of analytics best practices, shared datasets, and company-wide metrics

• Seek and act on feedback from internal stakeholders; iterate quickly with an eye toward 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)

• 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

• Experience with b2b healthcare product analytics

• Experience applying quantitative methods (regression, causal inference) to product or business questions

• 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]