# Lead Engineer (Data/Integrations)
**Company:** [Onos Health](https://hotfix.jobs/companies/onos-health)
**Location:** San Francisco, CA
**Salary:** $200K-$250K
**Experience:** 5+ years
**Skills:** Python, Django, AWS, Postgres, ClickHouse, Edi X12, Hl7, FHIR, Docker, Terraform, Celery, Next.js, TypeScript, S3, Kubernetes
**Posted:** 2026-03-26
> Leads architecture and implementation of healthcare payer data integrations (EDI X12, HL7/FHIR) and scalable pipelines for AI/ML systems. Requires 5+ years data engineering experience with payer data and team leadership.
## Job Description
## 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
**Apply:** https://hotfix.jobs/jobs/lead-engineer-data-integrations-at-onos-health-bbda2104-f53d-4dc7-9233-076fdd4eaf32
**Canonical:** https://hotfix.jobs/jobs/lead-engineer-data-integrations-at-onos-health-bbda2104-f53d-4dc7-9233-076fdd4eaf32