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Tech Stack
Tools & technologiesAWSDockerJavaScriptKubernetesPythonTerraform
About the role
Key responsibilities & impact- Design, build, configure, and support HL7 and FHIR interfaces connecting healthcare applications with EMR and clinical information systems.
- Analyze source and target data models and develop detailed mapping and transformation logic for clinical and treatment data.
- Build and maintain interface engine configurations using platforms such as Mirth Connect, Rhapsody, Cloverleaf, Corepoint, or similar technologies.
- Troubleshoot interface failures, malformed messages, acknowledgment errors, mapping issues, and data integrity problems by tracing transactions across the full integration path.
- Develop and maintain interface specifications, data mapping documentation, test plans, and technical runbooks.
- Support integration services running in AWS and containerized environments, including Kubernetes and Docker, while monitoring logs, metrics, and system health.
- Plan and execute unit, integration, and user-acceptance testing to validate data accuracy and system functionality prior to production deployment.
- Collaborate directly with hospital and healthcare IT teams, implementation teams, software engineers, product teams, and third-party integration resources during customer onboarding and go-live activities.
- Develop reusable integration templates, mapping standards, and implementation practices to improve the consistency and efficiency of future customer integrations.
- Support clinical data integrations while maintaining appropriate handling of protected health information (PHI) and healthcare compliance requirements.
Requirements
What you’ll need- 5+ years of hands-on experience in healthcare interface or integration engineering, ideally within EMR, oncology, imaging, or other clinical technology environments.
- Strong working knowledge of HL7 v2.x messaging, including ADT, ORM, ORU, and SIU messages.
- Familiarity with HL7 v3/CDA, FHIR R4, and RESTful APIs.
- Hands-on experience building or supporting integrations with major EMR platforms, particularly Epic; exposure to Cerner or similar systems is also valuable.
- Experience with healthcare interface engines such as Mirth Connect, Rhapsody, Cloverleaf, Corepoint, or similar platforms.
- Strong experience with clinical data mapping and transformation across disparate systems, including coded values, units, identifiers, and other healthcare data elements.
- Working knowledge of AWS and containerized environments, including Docker and Kubernetes.
- Strong troubleshooting skills with the ability to read logs, trace messages end-to-end, and identify root causes across multiple systems and teams.
- Experience with scripting languages such as Python or JavaScript is preferred.
- Familiarity with DICOM and healthcare imaging workflows is preferred.
- Experience with Terraform or other infrastructure-as-code technologies is preferred.
- Experience with oncology, radiation oncology, treatment planning, or clinical workflow systems is highly preferred.
- HL7, FHIR, AWS, or other relevant technical certification is a plus.
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical field is preferred.
- Ability to work core U.S. business hours, with occasional early or late meetings to collaborate with international engineering teams.
- Willingness to travel approximately 10–15% to customer sites.
Benefits
Comp & perks- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Paid Time Off (Vacation, Sick & Public Holidays)