Senior Data Engineer

Sprinter Health

Data Engineer driving AI innovations in healthcare at a startup. Building scalable data systems to improve patient access to care with a focus on ETL/ELT pipelines.

Posted 4/22/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $160,000 - $220,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowAWSBigQueryETLJavaScriptPythonTypeScript

About the role

Key responsibilities & impact

Work as one of the founding engineers of AI-focused incubator teams
Explore how AI can help bridge gaps in the healthcare system
Collaborate with clinicians and technologists to innovate new ways to expand access to care
Contribute ideas to improve product offerings and enhance user experiences

Requirements

What you’ll need

At least 5 years of broad experience in Data Engineering
Deep understanding of scalable data systems, ETL/ELT pipelines, and observability best practices
Hands-on with BigQuery, Airflow, DBT, or AWS Glue
Familiarity with varied database types (relational, document, columnar, key-value, vector, etc.)
At least 1 year of experience working at the seed stage, whether as a cofounder or early engineer
Technologies: Python and JS/TS

Benefits

Comp & perks

Meaningful pre-IPO equity
Medical, dental, and vision plans 100% paid for you and your dependents
Flexible PTO + 10 paid holidays per year
401(k) with match
16-week parental leave policy for birthing parent, 8 weeks for all other parents
HSA + FSA contributions
Life insurance, plus short and long-term disability coverage
Free daily lunch in-office
Annual learning stipend

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data EngineeringETLELTBigQueryAirflowDBTAWS GluePythonJavaScriptTypeScript

Soft Skills

collaborationinnovationproblem-solvingcommunication