SME - Healthcare CCDA / FHIR / HL7

We are seeking a

Healthcare CCDA and FHIR Subject Matter Expert (SME)

with hands-on experience in

loading, transforming, and validating CCDA and FHIR

data within clinical data repositories. The ideal candidate will possess a strong understanding of healthcare interoperability standards, data integration patterns, and data quality frameworks, playing a key role in enabling seamless exchange and ingestion of clinical data across systems.

Key Responsibilities: CCDA and FHIR Data Expertise: Lead the ingestion, parsing, and transformation of CCDA and FHIR resources into enterprise data platforms or Clinical Data Repositories (CDR). Map and validate CCDA elements (e.g., encounters, allergies, medications, immunizations) to FHIR resources. Data Integration and Loading: Design and implement data pipelines to load structured and semi-structured healthcare data (CCDA, FHIR, HL7) into target systems. Collaborate with Data Engineering teams to ensure efficient and scalable ingestion processes. Data Quality and Validation: Establish validation rules and perform conformance testing for FHIR and CCDA payloads. Ensure compliance with interoperability standards and clinical data governance frameworks. Collaboration and SME Support: Partner with product, engineering, and clinical informatics teams to define data models and mapping strategies. Support troubleshooting and root-cause analysis for ingestion and data transformation issues. Stay updated with

HL7, US Core FHIR, and ONC

interoperability regulations.

Required Skills & Qualifications: 8+ years of experience in

healthcare data integration, interoperability, or clinical data management. Strong hands-on experience with

CCDA parsing, validation, and ingestion processes. Deep knowledge of

FHIR resource structures, US Core profiles, and RESTful API interactions. Experience working with

FHIR servers (e.g., HAPI FHIR, InterSystems IRIS, or equivalent). Proficiency in

SQL, Python, or data transformation tools

(e.g., Informatica, Talend, Dataflow, or Spark). Familiarity with cloud platforms

(GCP, AWS, or Azure) and healthcare data pipelines. Strong understanding of

HIPAA, PHI, and healthcare interoperability standards (HL7, CCD, C-CDA, FHIR). Excellent analytical, documentation, and communication skills.