> Markdown version of [/jobs/ext/4301817-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/4301817-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Insight Global - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Salary:** $114,400.0 - $124,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Validation, Information Engineering, Power BI, Microsoft Power Automate, Sql Optimization, Data Lakes, AWS Data Analytics, Api Design, Data Pipelines, Servicenow - **Published:** October 16, 2026 - **Apply:** https://www.atlantacareerpath.com/job.asp?id=3451635615&tx=FJ4542FFF&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role Develop and update AWS data pipelines, including code changes, data lake testing, API-based ingestion, and view creation. Write advanced SQL for data validation, reconciliation, and troubleshooting. Support Power BI, including data models, DAX, refresh processes, and gateways. Provide production support through Power Automate, job monitoring, ServiceNow incident management, and on-call support during cutovers. Willingness and ability to leverage AI frameworks/tools to support development and engineering workflows. ## Description We are seeking a Data Engineer to support AWS-based data engineering, reporting, and production operations. This individual will be responsible for maintaining data pipelines, validating data quality, supporting Power BI reporting, and troubleshooting production issues.