Senior Engineer, Analytics

About the role

The Senior Analytics Engineer will 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. This role supports a larger O&M team and serves as the subject matter expert for data-related aspects of operating and monitoring clean energy plants. The position may include up to 5-10% travel to partner offices and project locations.

Key responsibilities

• Design, build and maintain 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
• Own and administrate core data engineering and analytics platforms used by the Data Analytics team
• Collaborate with Analytics Engineering, O&M Engineering, and Digital teams to deliver scalable data solutions
• Work on AI/Machine Learning projects to improve the performance of the AES Clean Energy fleet of solar, wind, and energy storage assets
• 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
• 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
• 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

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

Preferred 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

Pay

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.

Benefits

• Medical, dental, and vision coverage
• Life insurance
• 401(k) eligibility
• Paid time off (including vacation, sick leave time, and parental leave)