Sr Health Interoperability Engineer

About the role

The Senior Health Interoperability Engineer plays a pivotal role in establishing dedicated interoperability ownership within the Data & Analytics organization. This role involves designing and implementing FHIR R4-compliant APIs and integration pipelines, owning HL7 v2.x message processing and EDI X12 transaction pipelines, and leading data modeling work to map source health data structures into FHIR US Core and OMOP CDM.

Responsibilities

• Design and implement FHIR R4-compliant APIs and integration pipelines across EHR systems (Epic and others), federal payers, and commercial health clients, with conformance to US Core Implementation Guide requirements.
• Own HL7 v2.x message processing and EDI X12 transaction pipelines (837, 835, 270/271, 278) from architecture through production support.
• Build and maintain federal and commercial health data pipelines - with an initial focus on CMS - aligned to the CMS Interoperability Final Rule, Da Vinci Implementation Guides (PDex, PAS, CDex), and TEFCA exchange requirements; scope expands to VA, DHA, and commercial payer integrations over time.
• Establish and document HIE integration patterns, federated exchange workflows, and API contract standards for internal and client-facing use.
• Model source health datasets - claims, clinical, and administrative - into FHIR US Core resource profiles, ensuring conformance to required and must-support elements across patient, encounter, condition, observation, and related resource types.
• Translate FHIR-mapped clinical data into OMOP standard vocabularies and domain tables (Person, Visit, Condition, Drug, Measurement, Observation) to support research and population health analytics use cases.
• Collaborate with the analytics and data science team to ensure OMOP-structured data is properly exposed for cohort definition, quality measurement, and ML feature engineering.
• Partner with the Sr. Data Engineer and Sr. Solutions Architect to embed interoperability and data modeling standards into the core stack: AWS, Databricks, Postgres, and SQL Server.
• Author and maintain integration specifications, data dictionaries, mapping documentation, and exchange pattern standards.

Requirements

• 7+ years of hands-on experience in healthcare data exchange and interoperability engineering.
• Deep expertise in HL7 FHIR R4 and US Core IG; proficiency with SMART on FHIR authorization patterns.
• Demonstrated experience mapping source health data (claims, clinical, ADT) to FHIR US Core resource profiles.
• Hands-on experience with HL7 v2.x and EDI X12 transaction processing (837, 835, 270/271).
• Support customer data integrations with HL7v3 C-CDA/CDA/CCD and Document Query/Retrieval of IHE profiles.
• Experience with EHR system integrations (Epic, Cerner, or equivalent).
• Working knowledge of OMOP CDM structure, standard vocabulary mapping, and ETL design for clinical data.
• Strong SQL and data modeling skills; experience on cloud-based data platforms (AWS/ Databricks preferred).
• Familiarity with the CMS Interoperability Final Rule, 21st Century Cures Act, and TEFCA exchange framework; familiarity with VA, DHA, or commercial payer data exchange environments a plus.
• Preferred Experience implementing Da Vinci Implementation Guides (PDex, PAS, CDex, HRex).
• Prior work in federal health environments (CMS, VA, DHA), state Medicaid programs, or commercial payer organizations.
• HLC FHIR certification or equivalent health IT standards credentialing.

Qualifications

• Experience with AWS and designing HIPAA-compliant data architectures.
• Remote work experience preferred.

Benefits

Commence offers competitive compensation, comprehensive benefits, and a supportive work environment. Salary range is $130,000-$155,000, commensurate with experience.

Schedule

This is a full-time position with flexible working hours to accommodate remote work.