Senior Engineer, Analytics

Are you ready to be part of a company that's not just talking about the future, but actively shaping it? Join The AES Corporation, the largest US-based global power company with a team of 8,300 employees across 12 countries. AES has been ranked #1 by BloombergNEF in renewable energy sales to corporations in the US and Americas for five consecutive years, providing electricity for millions of people worldwide.

We are proud to foster a strong workplace culture, earning prominent positions in Great Place to Work™ rankings across the markets where we operate. AES was also named one of the World’s Most Ethical Companies for the 13th consecutive year in 2026, highlighting our dedication to integrity, transparency, and responsible business practices. Our spirit of innovation continues to earn industry recognition.

AES is the only seven-time winner of the Edison Electric Institute’s Edison Awards in the twenty-first century, a distinction honoring global leadership in advancing the electric power industry. If you're ready to be part of a company that's not just adapting to change, but driving it, AES is the place for you. We're not just building a more sustainable future, we're powering it.

AES Clean Energy (CE) is seeking a Senior Analytics Engineer to support the Operations and Maintenance (O&M) Engineering team in building the data analytics architecture to support the future growth of the CE portfolio and its growing data-related needs. This individual will play a pivotal role in ensuring AES CE’s operational excellence by expanding the availability of data and analytics to various stakeholders in the O&M team.

The ideal candidate will be a self-starter with an ability to deliver creative, efficient solutions to challenging problems surrounding the growing operational dataset. At AES, we raise the quality of life around the world by changing the way energy works. Everyone makes an impact every day in our small, global teams.

AES’s mission is to improve lives by accelerating a safer and greener energy future. We are a global, agile, cohesive organization with an employee engagement level akin to a startup company. AES businesses throughout the world are often recognized as great places to work. Our people share a passion to help meet the world’s current and increasing energy needs, while providing communities and countries the opportunity for economic growth due to the availability of reliable, affordable electric power.

A day in the life of an AES CE Sr. Analytics Engineer will include, but is not limited to:

• Designing, building and maintaining data warehouses, data cleansing processes, analytics dashboards, pipelines, and automated reporting solutions
• Support high data quality, reliability, and availability across CEDAR and related automated workflows
• Owning and administrating core data engineering and analytics platforms used by the Data Analytics team
• Collaborating with Analytics Engineering, O&M Engineering, and Digital teams to deliver scalable data solutions
• Working on AI/Machine Learning projects to improve the performance of the AES Clean Energy fleet of solar, wind, and energy storage assets

The Sr. Analytics Engineer supports a larger O&M team and serves as the subject matter expert for data-related aspects of operating and monitoring clean energy plants.

This requires knowledge and experience working with SCADA/DAS systems, data warehouses, reporting tools, and other advanced analytics and data infrastructure tools (i.e. Power BI, SQL, R and Python). Excellent communication, task management and planning skills needed, in addition to technical breadth.

The position may include up to 5-10% travel to partner offices and project locations.

• Operations
  • Work with AES Data Engineers to establish and maintain data warehouses to support the O&M team’s advanced analytics and reporting needs
  • Build scalable, automated reporting solutions to meet the growing compliance demands of the CE Asset Management group
  • Establish and monitor data quality frameworks, data governance, validation processes, and system performance metrics
  • Ensure scalable, reliable ingestion and processing of operational…