Lead Engineer (Data/Integrations)

TL;DR

Lead Engineer (Data/Integrations): Own the architecture and implementation of data integrations with claims and utilization management systems at the nation's largest health plans with an accent on building the data infrastructure that powers the entire Onos platform. Focus on establishing engineering best practices and technical foundations for future team growth.

Location: Hybrid role based in San Francisco, where you'll be expected to work at our office in person 2-3 times a week.

Salary: $200K – $250K

Company

hirify.global is building the largest AI-driven healthcare data platform to enable payers to make faster, more accurate decisions across their populations.

What you will do

• Lead the architecture and implementation of data integrations with major healthcare payers.
• 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, SFTP, flat files, proprietary APIs, and HL7/FHIR.
• Build monitoring, reconciliation, and data quality systems.
• Build and scale data pipelines for AI/ML systems and analytics dashboards.
• 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 have

• 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.
• Built data infrastructure that powers AI/ML systems.

Culture & Benefits

• Flexible hybrid arrangement: 2-3 days/week at San Francisco office, remote-first culture.
• Unlimited vacation policy.
• Paid parental leave.
• Medical, dental, and vision insurance.
• 401(k).
• Significant equity as an early employee.