Staff Data Platform Engineer, Health Plan Data

Helm Health is hiring a Staff Data Platform Engineer to lead the architecture and technical direction of its health plan data platform and shared services. The role owns data pipelines and production services across provider networks, eligibility, claims, and plan design, with a focus on reliability, data correctness, and scalable payor onboarding.

Responsibilities:

• Help drive the Helm health data platform architecture. Define and drive the target architecture for how data moves through Helm: ingestion, conformance, storage, and serving across provider network, eligibility, claims, and plan design. Set the patterns every team builds on: data contracts, build once and promote, versioned configuration, traceable lineage
• Technical leadership across the core domains. Lead design for the hardest data problems in health benefits:
• • Provider network data: rosters, networks, and directories that power accurate care search
• • Eligibility and enrollment: 834 files, census files, and member data that has to be right every cycle
• • Claims: multi-payor claims processing and the data behind adjudication and copay validation
• • Plan design: benefit configurations and rules that turn a plan document into computable logic
• Build enterprise grade, audit ready systems. Our customers are regulated payors, and our bar is theirs. You will build for reliability, observability, data quality, and provenance by default: append-only data, versioned config, traceable lineage, in a HIPAA-regulated environment on the path to SOC 2 and HITRUST
• Scale by design, not by headcount. Make onboarding the next payor a configuration exercise instead of a rewrite. Build multi-tenant data services and shared platform capabilities that product teams consume rather than rebuild
• Drive outcomes, not output. Partner with product and engineering leadership to turn the roadmap into sequenced, shippable plans. You are accountable for results: platform reliability, data correctness, delivery. You clear the obstacles in the way, whether or not the code is yours
• Raise the bar around you. Lead design reviews and RFCs, mentor senior engineers, and set the technical standard for the platform organization. At staff level, your impact multiplies through other engineers, not just your own commits
• Use modern tooling, including AI, with judgment. Our engineers use AI coding tools every day, and this role sets the standard for where they genuinely help: code generation, testing, data quality checks, and documentation. Experience applying techniques like entity resolution, anomaly detection, embeddings, and semantic search is a plus

Requirements:

• 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
• Postgres, Python, Go, orchestration, infrastructure as code
• 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
• GCP preferred (BigQuery, Cloud Run, Pub/Sub, Cloud Storage)
• 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
• Experience applying techniques like entity resolution, anomaly detection, embeddings, and semantic search is a plus