turquoise-health - Senior Data Science Engineer I, Claims
Requirements
• Revenue cycle and healthcare payments • Payer-provider contracting • Experience handling sensitive data in a regulated environment (healthcare, finance, or similar), including practical privacy and de-identification tradeoffs. • Leadership. Act as both a player and a coach to onboard new contributors. • Experience with cloud services (AWS S3, EC2, RDS) and cloud fundamentals (object storage, compute, managed services). Alternative providers are okay too (Azure, GCP).
Responsibilities
• 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
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
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