Data Engineer-Nordic OMOP

Employment Status:
Full time Shift:
Day (United States of America) Facility:
Remote - VA Requisition Number:
R161952 Data Engineer-Nordic OMOP (Open Date: 08/24/2026) How You’ll Help Transform Healthcare:
Candidates residing in the following states may be considered for a remote and/or hybrid schedule: Alabama, Florida, Georgia, Arkansas, Kentucky, Louisiana, Mississippi, North Carolina, South Carolina, Tennessee, West Virginia, and Virginia

The Data Engineer designs, deploys and supports data acquisition and data integration solutions from source systems to the data warehouse and data marts for business intelligence, healthcare analytics, and AI solutions such as dashboards, scorecards, reports and self-service analytics. Sources data from operational and clinical systems with integration and subsequent and secondary transformation, including experience with healthcare data and the OMOP Common Data Model (CDM). Supports end-user web-based presentation layers and the underlying technology layers including data models, dimensional databases, cubes, AI/GenAI data pipelines and security infrastructure. The Data Engineer II

Gathers and processes raw, structured, semi-structured, and unstructured data using batch processing frameworks, including healthcare and clinical data used for analytics, OMOP, and AI Solutions.

Develops moderate to advanced SQL coding assets including tables, views, stored procedures, user defined functions in collaboration with the Data Analyst and BI Developer while adhering to technical solution standards and demonstrating flexibility when required. Develops and supports data transformation utilizing the OMOP Common Data Model (CDM) and healthcare terminology standards.

Develops and utilizes data testing processes to complete both unit testing and integration testing, collaborating with team members, to validate data solutions, including healthcare data quality and OMOP data validation.

Independently develops reference materials (database diagrams, flow charts, script documentation, etc.) for supported data processing technologies to be used for both online and in-person training of other technical staff.

Manages assigned projects and meets deadlines with minimal supervision from supervisor and/or manager.

Assists senior data engineers by creating training material for use in end-user training programs as well as development of team members

Serves as a technical mentor to other Data Engineers.

Interfaces with clients, vendors, and multiple technology teams while providing resolution to incidents and problems as escalated from the Technology Service Center.

Understands basic root cause analysis skills and techniques and performs such tasks with little to no assistance from senior data engineers.

Understands commonly used software development concepts (CI/CD, unit testing, publish-subscribe architecture, REST interfaces, etc.) and able to assist senior data engineers. Applies these concepts to modern healthcare data platforms and data pipelines supporting AI and Generative AI solutions.
What We Require:

Education: Bachelor’s Degree in a science discipline preferably computer science or information systems; or equivalent work experience.

Experience: Minimum 2 years experience in working with enterprise data and cloud technologies.

Licensure, Certification, and/or Registration: A minimum of 2 of the following certifications are required: W3Schools SQL Certification, SnowPro Core Certification, Epic Caboodle ETL Certified Administrator, DAMA CDMP Associate, Talend Data Integration Certified Developer, Talend Big Data Certified Developer, Talend Cloud Certified Administrator, Python PCEP, Python PCAP, Python PCAD, AWS Cloud Practitioner, Azure Data – Fundamentals

Other Minimum Qualifications: Good organizational skills, analytical, dependable, detail oriented, interpersonal skills, and written/oral skills. Data profiling and data quality analysis experience preferred. Cloud data service