Data Science Engineer, Analytics

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Turquoise Health

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

☁️ SaaS

🤝 B2B

📋 Compliance

💰 $30M Series B - Turquoise Health on 2024-01

SaaS • B2B • Compliance

Turquoise Health is a healthcare transparency platform and SaaS company that aggregates, standardizes, and publishes hospital and health plan pricing data to make healthcare costs accessible and actionable. It provides machine-readable price files, patient cost-estimate tools, contracting and analytics software, and compliance solutions to hospitals, health systems, payers, employers, and life sciences organizations. The company’s products help organizations meet regulatory price-transparency requirements, compare provider costs, and enable consumers and enterprise customers to make cost-conscious healthcare decisions.

📋 Description

• 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

🎯 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) • 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 b2b healthcare product analytics • Bonus points for experience applying quantitative methods (regression, causal inference) to product or business questions • Bonus points for 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