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Helm Health

Staff Data Platform Engineer, Health Plan Data

Helm Health

. Define and drive the target architecture for data ingestion, conformance, storage, and serving across provider network, eligibility, claims, and plan design data .

Posted 11/9/2026full-timeRemote • United StatesLead💰 $200,000 - $233,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and building scalable data platforms and distributed systems, with a strong focus on healthcare data compliance and data quality. Proven ability to lead technical design, mentor engineers, and collaborate with cross-functional teams to deliver reliable data services.

Highest-signal resume keywords
Data Platform DesignHealthcare Data ExpertiseCloud Data Stack FluencyAPI DevelopmentTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ModelingBatch and Streaming PipelinesData Quality ChecksInfrastructure as CodePostgresPythonGoDistributed SystemsSLO OwnershipAI Tools Application
Soft Skills
Precise WritingAsync-First CommunicationMentoring
Tools & Technologies
GCPBigQueryCloud RunPub/SubCloud StorageGRPCDagsterAirflowDbtDataform
Industry Keywords
HIPAA ComplianceX12 EDIPHI ManagementHealth Plan ExperienceAudit Experience

Tech Stack

Tools & technologies
AirflowBigQueryCloudDistributed SystemsGoogle Cloud PlatformGRPCPostgresPythonGo

About the role

Key responsibilities & impact
  • Define and drive the target architecture for data ingestion, conformance, storage, and serving across provider network, eligibility, claims, and plan design data
  • Establish patterns for data contracts, build once and promote, versioned configuration, and traceable lineage
  • Lead technical design for provider network data, eligibility and enrollment, claims processing, and plan design logic
  • Build reliable, observable, audit-ready systems with data quality and provenance in a HIPAA-regulated environment
  • Develop multi-tenant data services and shared platform capabilities to scale onboarding across payors
  • Partner with product and engineering leadership to create sequenced, shippable plans and deliver platform reliability, data correctness, and delivery outcomes
  • Lead design reviews and RFCs, mentor senior engineers, and set technical standards
  • Apply AI tools to code generation, testing, data quality checks, and documentation where appropriate

Requirements

What you’ll need
  • 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
  • Experience with 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, including BigQuery, Cloud Run, Pub/Sub, and Cloud Storage
  • Experience with Postgres, Python, Go, orchestration, and infrastructure as code
  • Experience designing, building, and running APIs and distributed services in production
  • Experience owning SLOs and on-call
  • Experience owning cross-cutting platform decisions, writing design documents, and shipping results
  • Practical, daily experience using AI tools and coding agents, with clear opinions about where they help
  • Precise writing, async-first habits, and ability to explain complex systems to engineers, product partners, and executives
  • Nice to have: health plan or payor-side experience; search and relevance systems; gRPC API and SDK design; Dagster or Airflow; dbt or Dataform; enterprise or regulated-industry audit experience

Benefits

Comp & perks
  • Base salary + bonus + equity
  • Unlimited PTO (mandatory 12 days)
  • Computer + home office stipend
  • 401(k) + matching
  • Medical, dental, and vision insurance
  • Autonomy and tons of room for career growth
  • Quarterly company meetings