> Markdown version of [/jobs/ext/4669666-staff-data-platform-engineer-health-plan-data](https://www.wearedevelopers.com/jobs/ext/4669666-staff-data-platform-engineer-health-plan-data). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Data Platform Engineer, Health Plan Data - **Company:** Helm LLC - **Location:** Columbus, OH, United States (Remote available) - **Experience:** Expert - **Salary:** $200,000 - $233,000 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, ASC X12 Standards, BigQuery, Cloud Storage, Information Engineering, Data Infrastructure, Cursor, Software Design Documents, Linux, Distributed Systems, Github, Python (Programming Language), PostgreSQL, Fast Healthcare Interoperability Resources, Google Cloud Functions, Sentry, Data Management, Gsuite, Claude, Google Gemini, GPT, Data Pipelines, Golang - **Published:** November 11, 2026 - **Apply:** https://www.careerbuilder.com/job-details/staff-data-platform-engineer-health-plan-data-columbus-oh--66d99c0c-a04c-4c84-9409-090272db1374 ## About the Role Health Plan, Startup, Insurance, Health Insurance, Patient Care, Co-Payments, Health Plan Membership, Health Plan, Problem Solving Skills, Healthcare ## Description Every answer Helm gives - Is this provider in network? Is this member eligible? What will this visit cost? - is computed from data: provider networks, eligibility files, claims history, and plan design. Our health plan data platform is not a support function here. It is the foundation every engine and every customer commitment stands on. We are hiring a Staff to Senior-Staff Data Platform Engineer, Health Plan Data & Services, to lead that foundation on the Health Plan Platform team. This is a platform engineering role: it owns the data platform and pipelines, and the production services and engines that run on them. You will drive the architecture and technical direction for the data platform and shared services across provider network, eligibility, claims, and plan design data, as well as the engines that run on them. The decisions you make in your first six months will shape how this company scales with every payor that follows. If you want to inherit a finished system and keep the lights on, this is not that job. In this role, you will build the thing itself, with real ownership and a mission you can explain to your family., * Staff-level experience (10+ years) designing and building data platforms and distributed systems at scale, with a record of technical leadership across teams * Expertise in Healthcare data: X12 EDI (834, 837, 835), eligibility, claims, provider data, and/or FHIR. Comfort working with PHI under strict data privacy controls. * Deep data engineering craft: batch and streaming pipelines, data modeling for analytical and operational serving, data quality and testing discipline, lineage and observability * Fluency with a modern cloud data stack. GCP preferred (BigQuery, Cloud Run, Pub/Sub, Cloud Storage), Postgres, Python, Go, orchestration, infrastructure as code. You choose tools pragmatically and can defend the tradeoffs. * Production service engineering. You have designed, built, and run APIs and distributed services in production, owned their SLOs and on-call, and you are as rigorous about a service contract as a data contract. * Architecture leadership. You have owned cross-cutting platform decisions, written the design doc, and shipped the result. You favor pragmatic, incremental evolution over big-bang rewrites. * Ownership and drive. You find the problem, scope it, and land it. Outcomes over activity, always. * Practical AI experience. You use AI tools and coding agents in your daily workflow and have clear opinions about where they help and where they do not. * Clear communication. Precise writing, async-first habits, and the ability to make complex systems understandable to engineers, product partners, and executives alike. Nice to have: health plan or payor-side experience; search and relevance systems; gRPC API and SDK design; Dagster or Airflow; dbt or Dataform; experience taking a platform through an enterprise or regulated-industry audit. Internal Tools/Technology * Cursor / Linear / GitHub / Notion / Whimsical * Slack / Google Workspace / Zoom * incident.io / Sentry * Claude, ChatGPT, Gemini - we are an AI-forward engineering team * macOS / Linux