Want to know if this job is worth applying to?
Remote
Remote only
This is a fully remote role within the United States.
We’re looking for an experienced data engineering professional to join us in our mission to eliminate the financial complexity of healthcare. You'll join our Data Science Engineering team to own the data lifecycle of healthcare claims data including ELT/ETL, de-identification, PHI/PII reduction, data quality, observability, and integrations (e.g., APIs, web-optimized data stores).
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
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
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).
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 recruiting@turquoise.health
