Backend Engineer - Health Records & Data Pipelines

Requirements

• 2-4 years of experience building backend systems and APIs in production environments
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• Experience working with backend technologies such as Java (or similar), relational databases (e.g., Postgres), and cloud infrastructure (e.g., AWS)
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• Familiarity with designing and working with data pipelines for ingestion, transformation, and validation of structured or semi-structured data
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• Understanding of API design principles
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• Exposure to healthcare data standards (e.g., FHIR, CDA) or integrating with external health data sources
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• Strong problem-solving skills and ability to break down technical tasks and deliver iteratively
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• Effective communication and collaboration skills in cross-functional environments
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• Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions
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• The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office
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• Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience

• WHOOP is hiring a Software Engineer II (Backend, Health Records) to help build the systems that enable secure, scalable ingestion and utilization of health data
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• In this role, you will contribute to the infrastructure that connects external healthcare ecosystems with WHOOP’s platform, transforming complex health records into meaningful, actionable insights
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• Your work will directly power personalized health experiences and expand WHOOP’s ability to deliver long-term value to members
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• Contribute to the design and development of backend systems for ingesting and processing health record data from external sources (e.g., EHRs, third-party health platforms)
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• Build and support robust data pipelines to clean, normalize, and structure health record data for reliable downstream consumption
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• Develop and maintain secure, scalable APIs and services that expose health record data to internal systems and member-facing features
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• Apply best practices for data privacy, security, and access control when working with sensitive health data
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• Collaborate cross-functionally with product, data science, and engineering teams to unlock new health insights and capabilities
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• Participate in code reviews, testing, and documentation to ensure high-quality, maintainable systems