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# Data Engineer

- **Company:** Insight Global
- **Location:** Roanoke, VA, United States (Remote available)
- **Salary:** $100,000 - $120,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Unit Testing, Microsoft Azure, Business Intelligence Development, Health Informatics, Clinical Data Repository, Cloud Computing, Cloud Database, Information Systems, Databases, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Mart, Data Profiling, Data Structures, Data Warehousing, Python (Programming Language), SQL Stored Procedures, SQL Databases, Talend, Unstructured Data, Enterprise Data Management, Snowflake, Integration Tests, Information Technology, Health Level Seven International, Data Management, Tools for Reporting, Restful APIs, Data Pipelines
- **Published:** November 7, 2026
- **Apply:** https://dejobs.org/x/x/F5255533F92C40FB927264532C689D64/job/

## About the Role

We are seeking an experienced Data Engineer to build and support data pipelines that move operational and clinical data into data warehouses and data marts. This role supports healthcare analytics, BI, and AI initiatives, with a focus on the OMOP Common Data Model (CDM). This is a full-time, remote position for someone who can work independently, troubleshoot effectively, and communicate well with technical and business stakeholders.

Key Responsibilities - Build, maintain, and troubleshoot ETL/data integration pipelines for structured and unstructured data. - Develop and support OMOP CDM transformations and healthcare data standards. - Develop solutions using Python and SQL, including tables, views, stored procedures, and functions. - Perform unit/integration testing, data-quality checks, and root-cause analysis. - Support data warehouses, reporting solutions, and data pipelines used for analytics and AI. - Collaborate with analysts, BI developers, customers, vendors, and technical teams. - Create technical documentation and manage projects with minimal supervision. - Participate in an on-call rotation., * Bachelor's degree in Computer Science, Information Systems, mathematics, science, or a related technical discipline.

 * Professional data engineering experience, including enterprise data and cloud technologies.
 * Hands-on Python and SQL experience.
 * Experience building and supporting ETL/data pipelines.
 * Understanding of development concepts such as CI/CD, unit testing, REST APIs, and/or publish-subscribe architecture.
 * OMOP CDM experience (highly preferred) or healthcare/clinical data experience
 * Strong communication, critical-thinking, and problem-solving skills.
 * Ability to work independently and interact effectively with customers and project teams.
 * Experience with healthcare terminology standards or another common data model.
 * Data profiling and data-quality experience.
 * Cloud data services, dimensional databases, cubes, or columnar data structures.
 * Relevant SQL, Python, AWS, Azure, Snowflake, Epic, Talend, or data management certifications.