обновлено 5 дней назад
Lead Engineer (Data/Integrations)
200 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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 in San Francisco, with 3 days per week in the Financial District office
Salary: $200K–$250K annually, plus equity
Company
is building an AI-driven healthcare data platform that helps health plans improve care decisions, reduce administrative burden, and direct spending toward higher-quality care.
What you will do
- Lead the architecture and implementation of integrations with healthcare payer systems, including claims feeds, utilization management data, eligibility files, and provider rosters.
- Build a reusable payer integration framework that makes onboarding national and regional health plans faster and more reliable.
- Design fault-tolerant data pipelines processing millions of claims records for AI/ML systems, analytics dashboards, and behavioral health quality and cost analysis.
- Develop normalization layers that translate payer-specific formats into a unified data model.
- Build monitoring, reconciliation, alerting, and data quality systems that detect feed disruptions and schema drift.
- Establish engineering practices, technical foundations, and AI-assisted development workflows for a growing data engineering team.
Requirements
- 5+ years of data engineering experience, including significant work with healthcare payer data such as claims, utilization management, and eligibility.
- Experience leading engineering teams as a tech lead or engineering manager.
- Experience with or willingness to learn payer data formats and exchange methods including EDI X12, HL7, FHIR, and custom flat files.
- Strong system design skills, including defining requirements, test scenarios, and acceptance criteria for complex data systems.
- Hands-on ability to architect robust systems, establish engineering best practices, and deliver production code.
- Ability to work from the San Francisco office 3 days per week.
Nice to have
- Experience integrating claims or utilization management platforms such as QNXT, Facets, Amisys, Jiva, or CareRadius.
- Experience with behavioral or mental health claims data, behavioral health carve-outs, BH-specific CPT codes, or quality measurement.
- Experience building AI/ML data infrastructure, including feature pipelines, training data preparation, and model monitoring.
Culture & Benefits
- Remote-first culture with a flexible hybrid arrangement.
- Unlimited vacation, paid parental leave, and medical, dental, and vision insurance.
- Pre-tax commuter benefits and a 401(k).
- Significant equity and substantial ownership as an early employee.
- Direct mentorship from experienced founders, regular team events and offsites, company-provided equipment, and home office setup.
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