Senior Data Engineer

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

Job 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.

Must be located in Atlanta, GA

Pay Range: $55 - $60

Skills and Requirements

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.

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].