Senior Data Science Engineer I, Claims

🔥 14 hours ago

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Turquoise Health

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

🏥 Healthcare

💼 Consulting

☁️ SaaS

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

Healthcare • Consulting • SaaS

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

• Build and maintain reliable data pipelines that process raw claims data from diverse sources to enriched, standardized formats using tools including Python, SQL, PostgreSQL, Trino, ClickHouse, Airflow, Datadog, and AWS cloud services • Build automated observability and monitoring into data quality • Produce privacy-preserving datasets and protect PHI, implementing de-identification and PII-reduction specifications set with Security, Infrastructure, and Product • 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. • 4+ years developing data models, pipelines, and end-to-end analytical solutions. • Programming experience in Python and SQL • Experience with healthcare claims data, such as EDI 837/835 files, researcher datasets (CMS VRDC, CMS Limited Data Set), commercial claims (Komodo, MarketScan), or equivalents • Advanced SQL including window functions, subqueries, CTEs, performance tuning and indexes • Data modeling experience in support of diverse OLAP and OLTP workflows. Whether it’s Kimball or One Big Table, you recognize the tradeoffs and know the rules well enough to break them when it matters. • Comfortable with object-oriented and functional programming patterns, code organization beyond scripts, and debugging workflows • Experience with ETL/ELT workflows, orchestration(e.g., Airflow), and data engineering patterns (e.g., append-only vs inplace, medallion lakehouse) • Ability to design data systems with scalability, performance, and cost efficiency in mind, particularly for compute and data-intensive workloads • Software engineering rigor including automated testing, version control, software and data quality • Thoughtful use of AI coding agents and LLMs in development workflows • Comfortable working remotely in a collaborative, technical team

🏖️ 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