Senior Data Science Engineer, AI

Turquoise•San Diego, CA

4d•Remote

About The Position

This is a fully remote role within the United States. 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. 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 What you'll bring to the role: 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 Bonus points: Revenue cycle, healthcare payments and/or medical billing experience 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 biannual in-person company summits 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 About Turquoise Health 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. Disability Accommodation Email 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 [email protected]

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 biannual in-person company summits
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