Data Engineer

About the role

Job Description

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.

The base salary range for this position is $100,000 - $120,000 and based on experience.

Skills and Requirements

- 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.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.

Posting text as published by Insight Global.

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Roanoke, VA

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