Senior Analytics Engineer: Data Pipelines & AI in Energy

AES Corporation; Louisville (CO); Hybrid; USD 113,000 - 142,000; Full time

Benefits offered by this job

Medical benefits

Life insurance

401(k) + PTO

Job summary

AES Clean Energy (CE) is seeking a Senior Analytics Engineer to support the O&M Engineering team. You will design and maintain data warehouses, dashboards, pipelines, and automated reporting solutions to enable data-driven decisions across the CE portfolio.

You will work with SCADA/DAS data, cloud data platforms, and analytics tools, collaborating with multiple teams to deliver scalable data products and ML initiatives. Travel up to 5-10% may be involved.

Qualifications

• Undergraduate degree in Engineering, Computer Science, or equivalent technical field and 5+ years of experience in an analytics-focused and/or engineering role.

Responsibilities

• 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.

Skills

R

Python

SAS

SQL

Power BI

Tableau

Qlik Sense

DAS/SCADA

Google Cloud Platform

BigQuery

DBT

Prefect

Airflow

Excel

PowerPoint

Education

Bachelor's degree in Engineering, Computer Science, or equivalent

Tools

Google Cloud Platform

BigQuery

DBT

Prefect

Airflow

Job description

AES Clean Energy (CE) is seeking a Senior Analytics Engineer to support the O&M Engineering team. You will design and maintain data warehouses, dashboards, pipelines, and automated reporting solutions to enable data-driven decisions across the CE portfolio.

You will work with SCADA/DAS data, cloud data platforms, and analytics tools, collaborating with multiple teams to deliver scalable data products and ML initiatives. Travel up to 5-10% may be involved.