Senior Engineer, Analytics

AES Corporation; San Francisco (CA); On-site; USD 113,000 - 142,000; Full time

Benefits offered by this job

Annual bonus

Medical, dental, vision insurance

Job summary

AES Corporation is seeking a Senior Analytics Engineer to support the O&M Engineering team with scalable data architectures and analytics for the growing AES Clean Energy (CE) portfolio. You will drive data availability, quality, and insights across stakeholders in the Data Analytics group.

The role emphasizes building data warehouses, dashboards, data pipelines, and AI/ML initiatives to optimize solar, wind, and energy storage assets, requiring expertise in SQL, Python/R, and Power BI among

Qualifications

• Undergraduate degree in Engineering, CS, or equivalent and 5+ years in analytics-focused/engineering roles.

Responsibilities

• Designing, building and maintaining data warehouses, data cleansing processes, analytics dashboards, pipelines, and automated reporting solutions.
• Maintaining data quality, reliability and availability across systems and workflows.
• Owning and administering core data engineering and analytics platforms used by the Data Analytics team.
• Collaborating with Analytics Engineering, O&M, and Digital teams to deliver scalable data solutions.
• Working on AI/ML projects to improve performance of AES Clean Energy assets.

Skills

5+ years analytics

R/Python/SAS

SQL

Power BI/Tableau/Qlik Sense

DAS/SCADA data

GCP/BigQuery

ETL/ELT pipelines

Data modeling

Excel/Office

Strong communication

Education

Engineering degree

Tools

Power BI

Tableau

Qlik Sense

DBT

Airflow

Prefect

SQL

Python

Job description

Are you ready to be part of a companythat'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.

Key Responsibilities

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 data from SCADA, DAS, and other external data sources to the GCP data lake
• Participate in and lead AI/Machine Learning initiatives in collaboration with the AES Digital Team and O&M team stakeholders
• Become an expert in AES Clean Energy's DAS tools and propose ways to improve their data quality, overall function and utilization

Collaboration

• Collaborate with the Analytics Engineering team to ensure data products are built on scalable, reliable infrastructure
• Together with the CE Operations Technology and Data Engineering teams, work to deliver successful data pipelines from SCADA/DAS providers to data warehouses
• Work cross functionally to create scalable data infrastructure and workflows
• Provide technical support and maintenance of automated reporting systems utilized by the CE Asset Management group
• As a subject matter expert, advise other team members across the organization on best practices for data-related projects

Growth and Leadership

• Participate in AES CE's growth planning process by contributing to process improvement task forces and other strategic planning activities
• Improve and develop processes for utilizing data to ensure the operation of safe, quality and high-performance projects
• Willingness to continue to learn and grow your skills, constantly evaluating how AES CE operations can be improved

Primary Qualifications

• Undergraduate degree in Engineering, Computer Science, or equivalent technical field and 5+ years of experience in an analytics-focused and/or engineering role
• Advanced proficiency with R, Python, or SAS, as well as SQL
• Advanced proficiency developing reports and dashboards in Power BI, Tableau, Qlik Sense or another BI software
• Strong familiarity with DAS and SCADA systems and their data architectures
• Experience with Google Cloud Platform, Big Query, or other cloud computing platforms
• Experience designing and maintaining scalable data pipelines (ETL/ELT) and utilizing related tools (e.g., DBT, Prefect, Airflow)
• Strong analytical thinking and problem-solving skills
• Experience designing data models, analytics datasets, data products, or application layers
• Experience building or owning production data pipelines, data platforms, or analytics systems
• Ability to work effectively with Microsoft software programs, including-but-not-limited-to Excel, Outlook, Word, and PowerPoint
• Excellent written and verbal communication skills
• High degree of commitment to a quality safety culture and an incident-free work environment
• Personal values consistent with those of the AES Corporation

Plus Qualifications

• Advanced degree in Engineering, Computer Science, Data Science, or equivalent
• Experience with the technical aspects of Solar PV, Wind, and Energy Storage Systems
• Experience with AI/ML-enabled analytics, including LLMs, RAG, and anomaly detection
• Spanish language skills

AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law. E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

The expected salary for this position, at commencement of employment, is between $113,000 and $141,525/year; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position also includes annual bonus. The benefits offered for this position are: medical, dental, and vision coverage, life insurance, 401(k) eligibility, and paid time off (including vacation, sick leave time, and parental leave). Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

The deadline to apply for this role is 09/23/2026.