About The Position

At WHOOP, the mission is to unlock and inspire performance for life by helping members perform at a higher level through a deeper understanding of their bodies and daily lives. The Senior Software Engineer will own quality engineering for Health Records and build shared data-mocking capabilities for teams across WHOOP. The role leads testing strategy and automation to ensure healthcare data is ingested, transformed, stored, and consumed accurately and reliably. It also scopes and builds reusable data-mocking frameworks for internal data and third-party integrations that can be used by testing services across Health and other product areas. This hands-on senior engineering role spans APIs, databases, data pipelines, event-driven systems, third-party integrations, healthcare data formats, cloud infrastructure, and internal testing services.

Requirements

  • At least 4 years of experience in SDET, QA Engineering, Data Quality Engineering, ETL testing, or a related engineering discipline.
  • Strong SQL and database skills, including experience validating data integrity, reconciliation, transformations, and complex data pipelines.
  • Strong understanding of REST APIs, JSON, request/response patterns, events, and data payloads, including experience testing or mocking third-party integrations.
  • Experience building automation and reusable testing infrastructure using Java, Python, or similar programming languages.
  • Experience designing and testing ETL/ELT pipelines, distributed data flows, or other data-intensive systems, including failure, recovery, and edge-case scenarios.
  • Demonstrated ability to scope and lead complex technical initiatives, evaluate tradeoffs, influence technical direction, and build reusable solutions adopted by other engineers or teams.
  • Strong collaboration and communication skills with technical and non-technical partners.
  • Experience mentoring engineers and improving engineering practices.

Nice To Haves

  • Healthcare experience, particularly with EHR/EMR data, FHIR and similar standards, clinical data, healthcare terminology, and HIPAA/PHI requirements.
  • Experience with cloud and event-driven infrastructure, high-volume data pipelines, data-quality or observability frameworks, CI/CD quality gates, or FHIR validation tooling.

Responsibilities

  • Define the quality strategy and test automation for Health Records, validating data through ingestion, transformation, storage, and downstream consumption, and establishing automated monitoring for data-quality regressions.
  • Design and build automated validation across APIs, databases, data pipelines, and healthcare data formats such as FHIR, using Java, Python, SQL, and appropriate data-validation frameworks.
  • Scope, design, and build reusable data-mocking capabilities for teams across WHOOP, including internal data, third-party APIs, events, and data payloads.
  • Drive adoption of shared data-mocking capabilities through integration with existing testing services, documentation, and common patterns.
  • Lead complex quality and test-infrastructure initiatives from technical planning through delivery; identify risks, evaluate architectural tradeoffs, investigate systemic issues, and partner with Engineering, Product, QA, and domain experts.
  • Establish and evolve engineering practices for data quality, testability, test data, and observability to support HIPAA-compliant, PHI-safe testing.
  • Mentor engineers and develop additional ownership for Health Records quality.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service