Lead Engineer (Data/Integrations)
$200,000–$250,000 year
Hybrid · San Francisco, California, United States
Job Summary
Lead Engineer position focused on leading the architecture and implementation of data integrations with major healthcare payers, including claims, utilization management, and eligibility data. Responsibilities include building frameworks for onboarding new payers, developing fault-tolerant data pipelines, and establishing engineering best practices. Candidates should possess significant experience in data engineering within the healthcare payer domain, hands-on integration experience, strong system design skills, and the ability to lead technical initiatives effectively.
Required Qualifications
- 5+ years experience in data engineering, with significant time spent working with healthcare payer data (claims, UM, eligibility)
- Prior experience leading engineering teams as a tech lead or engineering manager
- Hands-on experience integrating with health plan systems and navigating payer data formats including EDI X12, HL7, FHIR, and custom flat files
- Strong system design skills with a track record of defining clear requirements, test scenarios, and acceptance criteria for complex data systems
- Customer obsessed and motivated to make an impact in the healthcare space
- A hands-on technical leader who can architect robust and extensible systems, establish best practices with AI coding tools, and ship high quality production code
Desired Qualifications
- Direct experience integrating with claims platforms or UM systems such as QNXT, Facets, Amisys, Jiva, CareRadius, or similar
- Experience with behavioral health or mental health claims data (e.g., behavioral health carve-outs, BH-specific CPT codes, quality measurement)
- Built data infrastructure that powers AI/ML systems — feature pipelines, training data preparation, model monitoring
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