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Senior Data Engineer (AI Incubator)

Sprinter Health

Full remote Today via WTTJ

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About the role

Join our AI-focused incubator team as a Senior Data Engineer. You'll have the opportunity to make a significant impact on healthcare by exploring how AI can bridge gaps in the current system. With a startup culture and access to major US health plans, this role offers the freedom of a seed stage startup with the support of established resources. Enjoy benefits such as free lunch, health insurance, unlimited PTO, and a flexible work-from-home policy. Key missions: Conception and implementation of scalable data systems, ETL/ELT pipelines, and observability best practices.. Collaboration with cross-functional teams to explore how AI can help bridge gaps in the healthcare system.. Participation in the development of new ideas to expand access to care, leveraging direct customer relationships with major health plans. Profile: - Technologies: Python and JS/TS (Join and help us decide!) - Familiarity with varied database types (relational, document, columnar, key-value, vector, etc.) - Data Engineering: At least 5 years of broad experience - Deep understanding of scalable data systems, ETL/ELT pipelines, and observability best practices - Startup Culture: At least 1 year of experience working at the seed stage, whether as a cofounder or early engineer. An impatient desire to hack, scrappiness is a virtue! - Hands-on with BigQuery, Airflow, DBT, or AWS Glue

Scraped 5/13/2026

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