AI-native platform modernizing how hospitals and health systems manage revenue

Forward Deployed Analytics Engineer

New YorkOn-site$150K - $200K5+ years
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

Tech stack

PythonGitCICDSpark

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This role is one we're recruiting for on behalf of a client company; the client's identity is kept confidential at this stage. A Fluency recruiter will follow up with details.

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