Remote Data Engineer - Healthcare ETL & OMOP CDM

Insight Global; Roanoke (VA); Remote; USD 100,000 - 120,000; Full time

Job summary

Insight Global is seeking an experienced Data Engineer to build and support data pipelines moving operational and clinical data into data warehouses and data marts for healthcare analytics, BI, and AI initiatives. The role is full-time and remote, with collaboration across stakeholders and a rotation for on-call support.

The ideal candidate has a BS in a technical field, hands-on Python/SQL, ETL pipeline experience, and familiarity with OMOP CDM or healthcare data standards.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, mathematics, science, or a related technical discipline.
• Professional data engineering experience with enterprise data and cloud technologies.
• Hands-on Python and SQL experience.
• Experience building and supporting ETL/data pipelines.
• Understanding of CI/CD, unit testing, REST APIs, and publish-subscribe architectures.
• OMOP CDM experience 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.
• Certifications in SQL, Python, AWS, Azure, Snowflake, Epic, or data management are a plus.

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.

Skills

Python

SQL

ETL pipelines

Healthcare data

CI/CD

Unit testing

Data profiling

Communication

Education

Bachelor's degree in Computer Science / Information Systems / Mathematics / Science

Tools

AWS

Azure

Snowflake

Talend

Epic

Job description

Insight Global is seeking an experienced Data Engineer to build and support data pipelines moving operational and clinical data into data warehouses and data marts for healthcare analytics, BI, and AI initiatives. The role is full-time and remote, with collaboration across stakeholders and a rotation for on-call support.

The ideal candidate has a BS in a technical field, hands-on Python/SQL, ETL pipeline experience, and familiarity with OMOP CDM or healthcare data standards.