Data Engineer

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

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 [e-mail].