AI-native platform modernizing how hospitals and health systems manage revenue
Forward Deployed Analytics Engineer
You'll embed directly with hospital finance teams, building Python pipelines that turn messy claims data into clean, actionable analytics. One morning you're debugging a Spark job choking on a sixty-million-row encounter dataset; that afternoon you're whiteboarding with a client's VP of Revenue Cycle about why their denial rates spiked. Your code ships through Git-based CI/CD and lands in production environments where accuracy matters—billing errors here mean delayed patient care or missed reimbursements. It's engineering with a visible, human consequence.
What they're looking for
- 5+ years shipping production data pipelines, with heavy Python and Spark
- Deep familiarity with healthcare data: claims formats (837/835), HL7, EHR structures, or revenue cycle workflows
- Experience owning full deployments client-side, not just handoffs— you debug live, on-site, under pressure
- Proficient with Git and modern CI/CD; you treat pipeline testing and version control as non-negotiable
- Willing to work on-site in New York with regular presence at customer sites in the metro area