Healthcare Data Integration Engineer (FHIR / OMOP)

We are seeking a Healthcare Data Integration Engineer to lead clinical data integration efforts. This role will be responsible for connecting client systems to our platform, designing and implementing data ingestion pipelines, and ensuring that healthcare data is transformed into standardized models suitable for analytics and AI applications. The ideal candidate combines healthcare interoperability expertise with strong technical implementation skills. You should be comfortable working directly with client technical teams, understanding source systems, designing mappings, and building robust integration solutions. Responsibilities Client Onboarding & Integration * Lead technical onboarding activities for new clients. * Analyze source systems and data architectures. * Design and implement connectors to various data sources, including: * EHR systems * FHIR servers * HL7 interfaces * Relational databases * Data warehouses * Cloud storage platforms (S3, Azure Blob, GCS) * Flat-file and CSV-based exchanges * APIs and custom integrations * Collaborate with client IT and clinical informatics teams to understand source data structures and workflows. * Define integration strategies and technical specifications. Healthcare Data Standardization * Map source data into healthcare interoperability standards and common data models. * Support transformation of clinical data into OMOP CDM. * Develop and maintain source-to-target mappings. * Identify and resolve data quality, terminology, and interoperability issues. * Participate in vocabulary mapping activities involving: * SNOMED CT * ICD-10 * LOINC * RxNorm * CPT * Other local and proprietary terminologies Data Engineering * Build, test, and maintain ETL/ELT pipelines. * Develop reusable integration frameworks and connector libraries. * Monitor integration processes and troubleshoot production issues. * Improve automation of onboarding and data validation workflows. * Document integration designs, mappings, and operational procedures. Collaboration * Work closely with data engineers, data scientists, and machine learning engineers. * Support data validation and quality assurance activities. * Contribute to interoperability best practices and platform architecture. * Serve as a technical point of contact during onboarding projects. Required Qualifications * 2+ years of experience in healthcare data integration, interoperability, or clinical data engineering. * Experience working with healthcare data standards, including: * FHIR * HL7 v2 * Clinical terminology systems * Experience with SQL and relational databases. * Experience designing and implementing ETL pipelines. * Experience consuming and integrating REST APIs. * Understanding of healthcare data domains such as: * Encounters * Conditions * Procedures * Medications * Measurements/Laboratory results * Clinical observations * Strong problem-solving and troubleshooting skills. * Excellent communication skills and ability to work directly with client technical teams. Preferred Qualifications * Experience with OMOP CDM. * Experience with OHDSI tools and ecosystem. * Experience mapping source systems to OMOP standard vocabularies. * Experience with terminology services and vocabulary management. * Familiarity with Epic, Cerner, MEDITECH, Athenahealth, eClinicalWorks, or other EHR platforms. * Experience with healthcare cloud environments. * Experience with Python and modern data engineering tools. * Experience with healthcare analytics or research platforms. Nice to Have * Experience implementing FHIR servers or FHIR APIs. * Experience with healthcare NLP or unstructured clinical data. * Experience with data quality frameworks. * Experience supporting regulatory or research data initiatives. * Familiarity with observational research and real-world evidence platforms. What Success Looks Like Within your first year, you will: * Lead onboarding and integration projects for new clients. * Build reusa