This position is listed on behalf of a partner company, who manages all applications and next steps.
The partner is looking for a Data Integration Engineer based in United States.
Responsibilities
Map, extract, transform, and load healthcare data from source systems to target systems across multiple processing stages.
Own and maintain ETL pipelines supporting HL7 FHIR, HL7 2.x, CDA, XML, JSON, RESTful APIs, flat files, SFTP, and other healthcare data exchange modalities.
Partner with client-facing teams and healthcare clients to communicate data requirements, standardize file templates, and establish and maintain required data source feeds.
Provide technical support for integrating EMR/EHR and patient eligibility data with internal systems and operational workflows.
Translate business requirements into scalable, reliable, and maintainable data models and integration solutions.
Design and build new APIs and functionality to support data ingestion and data exchange with external systems.
Establish data quality checks, validations, metrics, and monitoring practices.
Requirements
5+ years of experience building healthcare data integrations and hands-on experience integrating with at least two EHR systems, such as Epic, Allscripts, Athena, eClinicalWorks, NextGen, Cerner, Greenway, or Meditech.
Strong experience with healthcare data workflows and standards, including HL7 FHIR, HL7 CDA, HL7 2.x, EDI X12, LOINC, ICD-10, SNOMED, and CPT.
Practical knowledge of data quality processes, including checks, validations, metrics definition, and measurement.
Strong understanding of data warehouse architectures, ETL concepts, and scalable data integration patterns.
Experience creating APIs from scratch and automating data pipelines.
Ability to translate business and operational requirements into clear technical solutions and data models.
Strong problem-solving skills, technical ownership, and ability to collaborate effectively.
Conditions
Opportunity to join an early-stage, high-growth HealthTech environment with established deployment across more than 80 health systems in over 25 states.
Significant autonomy and ownership over data ingestion, data integration, and data-related API development.