Lead Engineer (Data/Integrations)

Responsibilities

• Lead the architecture and implementation of data integrations with major healthcare payers, including claims feeds, utilization management authorization data, eligibility files, and provider rosters.
• Build an integration framework that makes onboarding each new payer faster and more reliable over time.
• Work across healthcare data formats and exchange methods: EDI X12 (837/835/270/271/278), SFTP, flat files, proprietary APIs, and HL7/FHIR.
• Build monitoring, reconciliation, and data quality systems, including defining requirements, test scenarios, and acceptance criteria for each integration.
• Build and scale data pipelines for AI/ML systems and analytics dashboards for behavioral and mental health quality and cost.
• Establish engineering best practices and technical foundations for future team growth.

Requirements

• 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.

Nice-to-Haves

• 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.

Tech Stack

Infrastructure/Systems: AWS (ECS, Bedrock, Glue, etc.), Docker, Github Actions, Terraform Languages/Frameworks

• Backend: Python, Django, Celery / Celery Beat, django-ninja, django-tenants
• Frontend: NextJS, Typescript, Tanstack Query, Shadcn UI, Zod, Nuqs Database/Storage: PostgreSQL (AWS RDS), S3, Clickhouse Development Tools: Github, Jira, Claude Code, CoderabbitAI, Tusk