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# Data Engineer

- **Company:** Insight Global
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Business Analytics Applications, Microsoft Azure, Business Software, Continuous Integration, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Microsoft SQL Server, Project Management Information Systems, Power BI, Microsoft SharePoint, Software Deployment, Enterprise Integration, Data Pipelines, Powerapps, Legacy Systems, Databricks
- **Published:** September 10, 2026
- **Apply:** https://dejobs.org/x/x/558ABBA662594CFB8B8C1AF91F39D1BC/job/

## About the Role

* 5+ years of Data Engineering experience in enterprise environments.

 * Experience building and supporting ETL/ELT pipelines at scale.

 * Experience integrating data from multiple source systems and business applications.

 * Strong experience supporting reporting and analytics platforms.

 * Experience working within data governance, security, and architecture standards.

 * Experience documenting technical solutions and supporting production deployments. * Experience with Kahua platform integrations.

 * Experience with project management information systems (PMIS).

 * Experience integrating data from SharePoint, Power Apps, and Prophix.

 * Azure or AWS cloud platform experience.

 * Power BI report development experience.

 * CI/CD pipeline experience.

 * Experience supporting data warehouse modernization initiatives.

## Description

The ideal candidate is a hands-on Data Engineer who has successfully delivered enterprise integration and reporting solutions using Databricks, Python, SQL Server, and Power BI. They are comfortable building data pipelines from scratch, troubleshooting complex data issues, and working closely with both technical and business teams. They understand how to migrate organizations from legacy systems to modern analytics platforms while creating scalable, reusable data assets that support long-term business transformation.


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