Amazon Web Services (AWS), Application Programming Interface (API), Cerner, Clinical Data, Clinical Data Management, Cloud Computing, Content Management Systems (CMS), Customer Relations, Customer Support/Service, Customer/Client Research, Data Analysis, Data Management, Data Mapping, Data Modeling, Data Science, Data Structures, Database Extract Transform and Load (ETL), Documentation, Electronic Data Interchange (EDI), Epic Systems, Federal Government, HL7 (Health Level 7), Health Information Exchange (HIE), Healthcare, International Classification of Diseases (ICD), Interoperability, Medical Record System, Microsoft SQL Server, PostgreSQL, Production Support, Quality Metrics, SQL (Structured Query Language), Structured Data, System Integration (SI), Training Data Sets, Transaction Processing/Management, Use Cases, Writing Skills
Job Title: HL7/FHIR Integration Engineer
Workplace: Remote
About the Role
The Senior Health Interoperability Engineer is a critical role that will help establish dedicated interoperability ownership within the Data & Analytics organization. This position will serve as the technical authority on healthcare data exchange standards - designing integrations across EHR systems, federal health agencies (CMS, VA, DHA), commercial payers, and health information exchanges - and will own the data modeling work required to map source health data structures into FHIR US Core and, where applicable, into OMOP CDM for research and analytics use cases.
Responsibilities
Standards & Integration
- 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.
Data Modeling: FHIR US Core & OMOP
- 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.
- Design and maintain mapping logic from proprietary and standard source formats (HL7 v2, EDI, flat file, EHR extracts) to FHIR US Core-compliant representations.
- Lead OMOP CDM transformation work: 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.
- Build and maintain vocabulary mapping assets (ICD-to-SNOMED, CPT-to-SNOMED, LOINC, RxNorm) required for OMOP conformance and cross-study comparability.
- 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.
Platform & Collaboration
- 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.
Qualifications
- 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.
Juno is an Equal Opportunity Employer that provides equal opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, genetic predisposition or carrier status, or any other characteristic protected by federal, state or local law. The Company is committed to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment. It's expected that all employees are aware of this policy and that they create an environment that's sensitive and respectful to all individuals.
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Juno Search Partners Llc