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Lead Engineer, Health Data Integrations
United States. Posted 9 days ago
The role
You will build and operate integrations for a health data platform for personalized primary care. You will work across APIs, data pipelines, mobile integrations, and front-end features on an Azure platform.
What you will do
- Build and operate integrations with lab and diagnostics partners.
- Connect EMR and EHR systems using FHIR and legacy interfaces.
- Integrate payer data including eligibility, claims, and patient-access APIs.
- Integrate on-device mobile health data and cloud-based wearable APIs.
- Lead the work to bring data from in-clinic medical devices into the cloud platform.
- Map data from different sources into a common model.
- Build APIs, services, and front-end features.
- Work with labs, EHR vendors, payers, and device partners to scope, test, and launch integrations.
- Design for HIPAA requirements including encryption, access controls, and audit logging.
- Set standards for testing, observability, and CI/CD.
Required qualifications
- Bachelor’s degree in computer science or a related field
- 8+ years shipping software
- 3+ years building healthcare data integrations at a health-tech, digital health, or healthcare startup
- Hands-on production experience with FHIR R4 and SMART on FHIR
- Working knowledge of HL7 v2, C-CDA, and clinical terminologies such as LOINC and SNOMED CT
- Integration experience in at least two of these areas: hospital and EHR systems, payer data, or lab systems
- Experience integrating Apple HealthKit or Android Health Connect
- Experience working with wearable APIs such as WHOOP, Fitbit, Oura, or Garmin
- Experience leading a substantial platform build or integration program end to end
- Full-stack development experience with a modern back end such as Node.js, .NET, or Python and a front end such as React or Next.js
- Cloud-native experience on Azure, or equivalent experience on another cloud platform
- Practical experience applying HIPAA requirements and protecting PHI in production systems
Nice to have
- The ideal candidate can sit down with a clinician or vendor, work out what data is available and how it will be used, and carry that integration into production.
Before you apply
- Open to candidates based in the United States who are authorized to work in the U.S.
About the company
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