Software Engineer, Data & Integrations

M7 Health•New York City, NY

3d•Remote

About The Position

M7 Health is seeking a hands-on Software Engineer, Data & Integrations to lead a team responsible for the integrations connecting M7 to health systems' core platforms. This role involves owning, scaling, and extending existing integrations with time and attendance (UKG, Symplr) and HRIS (Workday, ADP) systems, as well as building new ones. It's a player-coach role, with approximately 70% hands-on engineering and 30% leadership. The engineer will be responsible for the integration layer, including data ingestion, transformation, and reconciliation, ensuring data reliability for M7's AI-powered features. Collaboration with product, activations, and customer IT, payroll, and HR teams is key to scoping environments, getting integrations live, and maintaining them. Success in the first six months involves being hands-on in the codebase, taking ownership of the integration layer's operational health, building strong cross-functional relationships, and shipping or de-risking new integrations. The ideal candidate is an experienced engineer with a strong background in data and integrations, comfortable with APIs, data schemas, and building reliable systems. They should also be adept at engaging with external stakeholders and have an interest in AI-native tooling. M7 Health values urgency, curiosity, kindness, and a high standard of craft, with a passion for improving healthcare operations.

Requirements

6+ years building and operating production software, with a track record of owning systems end-to-end
Experience writing code and a desire for a role where coding remains central
Experience leading or mentoring engineers (tech lead, team lead, or senior engineer)
Comfort with APIs (REST and SOAP), file-based/SFTP feeds, webhook architectures, data schemas, SQL, and data transformation/reconciliation
Experience building reliable systems, considering failure modes, observability, and recovery
Ability to engage credibly with external stakeholders (IT, payroll, HR teams) to scope access and troubleshoot data issues
Fluency with AI coding assistants and interest in building AI-assisted tooling

Nice To Haves

Direct UKG experience (data models, employee records, scheduling data, T&A feeds, pay rules)
Background at a healthcare SaaS company
Experience with TypeScript, Node.js, NestJS, PostgreSQL, and cloud infrastructure (AWS or similar)
Experience building data platforms or pipelines for intelligence or ML features
Venture-backed startup experience

Responsibilities

Lead a small, hands-on team
Run the day-to-day of the team - setting technical direction, owning delivery, and growing the engineers on it
Stay hands-on: write and review production code, design systems, and debug the hard problems alongside your team
Strengthen the engineering practices, on-call posture, and quality bar for a domain where reliability and data correctness are non-negotiable
Own the integration layer end-to-end
Enhance, scale, and extend M7's existing integrations and build new ones across our time-and-attendance and HRIS source systems
Keep these pipelines resilient and correct as we add customers and sources, and as upstream systems change
Own the operational health of integrations in production - monitoring, alerting, and the runbooks that keep data flowing reliably at every customer site
Work directly with IT, payroll, and HR teams at our health system customers to scope source-system access, troubleshoot data discrepancies, and get integrations live
Power M7's intelligence with trustworthy data
Ensure the data feeding M7's forecasting, scheduling, and staffing intelligence is accurate, timely, and well-modeled
Partner with product to translate customer technical requirements into well-scoped systems, from discovery through delivery
Partner with the Activations team to ensure integrations are deployable, well-documented, and supportable at scale