Senior Data Science Engineer
About The Position
We’re looking for a driven, entrepreneurial Senior Data Science Engineer to join our team and help eliminate the financial complexity of healthcare. We value creative, outside-the-box thinkers that back their ideas with technical knowledge and action. At Turquoise, we're making healthcare pricing simpler, more transparent, and lower cost for everyone. Have you or a family member ever gotten an MRI, a lab, or even a straightforward surgery without knowing the cost in advance? That's bonkers, right? We're working to fix that. We're a Series B startup backed by top VCs a16z, Box Group, Bessemer Venture Partners, Tiger Global, Adams Street, and Yosemite. Most importantly, we're an accomplished group of folks (moonlighting as authors, bass players, improv instructors, chefs, linguists, and trivia buffs) with a passion for improving healthcare. We're eager to find ambitious and well-rounded teammates to join us on this mission. 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.
Requirements
- 5+ years of experience developing data models, pipelines, and end-to-end analytical solutions using Python and SQL
- Strong grasp of data architecture and engineering practices, including ETL/ELT workflows, orchestration tools (e.g., Airflow, dbt), and cloud-based storage (e.g., S3, Redshift)
- Experience building and operating production-grade data pipelines that support AI and LLM-powered applications
- 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. You can problem solve independently
- Comfortable working remotely in a collaborative, technical team
- Bachelor’s degree, or equivalent experience/knowledge. We are happy to work with strong candidates with non-traditional educational backgrounds
Nice To Haves
- Revenue cycle, healthcare payments and/or medical billing experience
Responsibilities
- Work cross-functionally with Product and subject matter experts to conceptualize, prototype, and build data solutions
- Connect disparate datasets (e.g. claims, contract rates, demographics data) to empower internal and external stakeholders
- Build and maintain data engineering systems that support AI use cases, including scalable ingestion pipelines, feature generation, and downstream products
- Contribute to building, maintaining, and testing data pipelines
- Draft internal and external technical 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 quarterly in-person co-working weeks
- 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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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
