Healthcare Data Integration Engineer – FHIR, OMOP

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the technical onboarding process for new clients.

• Evaluate source systems and data architectures.

• Create and implement connectors to various data sources, such as: 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.

• Work in partnership with client IT and clinical informatics teams to grasp source data structures and workflows.

• Establish integration strategies and technical specifications.

• Align source data with healthcare interoperability standards and common data models.

• Assist in transforming clinical data into the OMOP Common Data Model (CDM).

• Create and uphold source-to-target mappings.

• Detect and resolve issues related to data quality, terminology, and interoperability.

• Construct, test, and sustain ETL/ELT pipelines.

• Collaborate with data engineers, data scientists, and machine learning engineers.

⛳️ Requirements

• A minimum of 2 years of experience in healthcare data integration, interoperability, or clinical data engineering.

• Familiarity with healthcare data standards, including: FHIR, HL7 v2, and clinical terminology systems.

• Proficient in SQL and relational databases.

• Experience in designing and implementing ETL pipelines.

• Proficient in consuming and integrating REST APIs.

• Understanding of healthcare data domains such as: encounters, conditions, procedures, medications, measurements/laboratory results, and clinical observations.

• Strong analytical and troubleshooting abilities.

• Excellent communication skills with the capability to collaborate directly with client technical teams.

🏝️ Benefits

• Fully remote work environment.

• Opportunity to collaborate across 28 countries.