Senior Software Engineer (Quality, Health Records)

• Define the quality strategy and test automation for Health Records, validating data across 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 through integration with existing testing services, documentation, and common patterns.
• Lead complex quality and test-infrastructure initiatives from technical planning through delivery, identifying risks, evaluating architectural tradeoffs, investigating systemic issues, and partnering with Engineering, Product, QA, and domain experts.
• Establish and evolve engineering practices for data quality, testability, test data, observability, to ensure compliance with HIPAA requirements for PHI-safe testing, while mentoring engineers and developing additional ownership for Health Records quality.

• 4+ years of experience in SDET, QA Engineering, Data Quality Engineering, ETL testing, or a related engineering discipline.
• Strong SQL and database skills, with 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, along with experience mentoring engineers and raising engineering practices.
• Healthcare experience is preferred, particularly with EHR/EMR data, FHIR and similar standards, clinical data, healthcare terminology, and HIPAA/PHI requirements.
• Bonus: Experience with cloud and event-driven infrastructure, high-volume data pipelines, data-quality or observability frameworks, CI/CD quality gates, or FHIR validation tooling.

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