Senior Data Engineer: AWS Pipelines & Power BI (Atlanta)

Insight Global; Atlanta (GA); On-site; USD 76,000 - 83,000; Full time

Job summary

Insight Global is seeking a Data Engineer in Atlanta, GA to manage AWS-based data pipelines, ensure data quality, and support Power BI reporting. The role involves production troubleshooting and on-call support.

The candidate will work on API ingestion, data lake testing, and view creation, with a focus on data reliability and operational efficiency. The position requires strong SQL skills, experience with Power BI, and the ability to use Power Automate and ServiceNow for incident handling.

Qualifications

• Experience building and maintaining AWS-based data pipelines.
• Strong SQL skills for data validation, reconciliation, and troubleshooting.
• Experience supporting Power BI reporting, data models, and refresh processes.
• Ability to provide production support using incident-management tools and on-call processes.

Responsibilities

• Develop and update AWS data pipelines, including code changes, data lake testing, API ingestion, and view creation.
• Write advanced SQL for data validation, reconciliation, and troubleshooting.
• Support Power BI reporting, including data models, DAX, refresh processes, and gateways.
• Provide production support via Power Automate, monitoring, ServiceNow incident management, and on-call during cutovers.
• Leverage AI frameworks/tools to support development and engineering workflows.

Skills

AWS

Data pipelines

SQL

Data quality

Troubleshooting

Power BI

Incident management

On-call

AI frameworks/tools

Tools

Power BI

Power Automate

ServiceNow

Job description

Insight Global is seeking a Data Engineer in Atlanta, GA to manage AWS-based data pipelines, ensure data quality, and support Power BI reporting. The role involves production troubleshooting and on-call support.

The candidate will work on API ingestion, data lake testing, and view creation, with a focus on data reliability and operational efficiency. The position requires strong SQL skills, experience with Power BI, and the ability to use Power Automate and ServiceNow for incident handling.