Data Engineer

Exelon seeks a Data Engineer to design, build, and maintain data pipelines that power grid reliability, clean energy, and customer-focused insights. In this role, you'll develop and optimize ETL processes, implement scalable data models, and ensure data quality and security across large operational and customer datasets. You will collaborate with cross-functional teams to support analytics, dashboards, and real-time use cases for grid modernization. Exelon offers strong benefits, career growth, and the chance to contribute to a safer, cleaner, and more resilient energy future.

Responsibilities

• Design, build, and maintain data pipelines to support grid reliability and clean energy analytics
• Develop and optimize ETL processes to integrate data from operational and customer systems
• Implement data models and structures to enable reporting, dashboards, and advanced analytics
• Ensure data quality, integrity, and security across large-scale utility datasets
• Collaborate with engineers, data scientists, and business stakeholders to understand requirements
• Automate data workflows and monitoring to support real-time and batch use cases
• Optimize performance of data platforms for scalability and reliability
• Document data solutions, standards, and best practices for reuse and governance
• Support troubleshooting and resolution of data issues impacting operations and customers
• Contribute to continuous improvement of Exelon's data platforms and grid modernization initiatives

Required Skills

• SQLPython
• ETL development
• Data warehousing
• Cloud data platforms (e.g., AWS, Azure, GCP)
• Data modeling
• Version control (Git)
• Linux/Unix fundamentals
• Data pipeline orchestration (e.g., Airflow)
• BI/reporting tools (e.g., Power BI, Tableau)