Senior Data Science Engineer I, Claims

Turquoise Health

Senior Data Science Engineer I handling healthcare claims data lifecycle. Building data pipelines and ensuring data quality within a fully remote team for healthcare.

Posted 7/24/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $170,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data pipelines, with a strong focus on data modeling, ETL/ELT workflows, and healthcare claims data. Proficient in Python and SQL, with a commitment to data quality and security standards.

Highest-signal resume keywords

Python ProgrammingSQL DevelopmentData Pipeline EngineeringHealthcare Claims Data ExperienceETL/ELT Workflows

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingAdvanced SQLAutomated TestingVersion ControlData Quality Assurance

Soft Skills

CollaborationTechnical DocumentationFeedback Prioritization

Tools & Technologies

PostgreSQLTrinoClickHouseAirflowAWS Cloud Services

Certifications & Qualifications

Bachelor's Degree or Equivalent Experience

Industry Keywords

Healthcare Claims DataEDI 837/835 FilesCMS VRDCPII ReductionData Security

Tech Stack

Tools & technologies

AirflowAWSCloudETLPostgresPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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