Staff Data Platform Engineer, Health Plan Data

This is a fully remote position, open to applicants in United States.

📋 Description

• Define and steer the target architecture for data ingestion, conformity, storage, and serving within the provider network, including eligibility, claims, and plan design data.

• Establish templates for data contracts, promote a build-once approach, manage versioned configurations, and ensure traceable data lineage.

• Lead the technical design for provider network data, eligibility and enrollment processes, claims processing, and plan design logic.

• Create dependable, observable, and audit-ready systems that maintain data quality and provenance within a HIPAA-compliant environment.

• Develop multi-tenant data services and shared platform functionalities to enhance scalability for onboarding across payors.

• Collaborate with product and engineering leadership to formulate sequenced, shippable plans that ensure platform reliability, data accuracy, and successful delivery outcomes.

• Oversee design reviews and RFCs, mentor senior engineers, and establish technical standards.

• Utilize AI tools for code generation, testing, data quality verification, and documentation as appropriate.

⛳️ Requirements

• Staff-level experience (10+ years) in designing and constructing data platforms and distributed systems at scale, with a demonstrated record of technical leadership across teams.

• Proficiency in healthcare data, including X12 EDI (834, 837, 835), eligibility, claims, provider data, and/or FHIR.

• Comfort in handling PHI while adhering to stringent data privacy regulations.

• Experience with batch and streaming pipelines, data modeling for both analytical and operational purposes, and a disciplined approach to data quality and testing, including lineage and observability.

• Familiarity with a modern cloud data stack; GCP preferred, encompassing BigQuery, Cloud Run, Pub/Sub, and Cloud Storage.

• Background in Postgres, Python, Go, orchestration, and infrastructure as code.

• Proven experience in designing, developing, and maintaining APIs and distributed services in a production environment.

• Experience managing SLOs and on-call responsibilities.

• Experience in making cross-cutting platform decisions, drafting design documents, and delivering results.

• Practical, daily engagement with AI tools and coding agents, with well-defined perspectives on their utility.

• Exceptional writing skills, async-first habits, and the ability to elucidate complex systems to engineers, product partners, and executives.

• Nice to have: experience on the health plan or payor side; knowledge of search and relevance systems; gRPC API and SDK design; familiarity with Dagster or Airflow; experience with dbt or Dataform; background in enterprise or regulated-industry audit processes.

🏝️ Benefits

• Base salary + bonus + equity

• Unlimited PTO (mandatory 12 days)

• Computer + home office stipend

• 401(k) + matching

• Medical, dental, and vision insurance

• Autonomy and significant opportunities for career advancement

• Quarterly company meetings