Senior Analytics Engineer: Data Pipelines for Clean Energy

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

Benefits offered by this job

Medical, dental, vision coverage

401(k) eligibility

Paid time off

Job summary

AES Clean Energy is seeking a Senior Analytics Engineer to build data architectures supporting O&M analytics and data-driven decisions.

The role expands data availability across stakeholders, develops scalable pipelines, and collaborates with Digital and Operations teams to drive AI/ML projects for solar, wind, and energy storage assets. Strong SQL, Python/R, and BI skills are required.

Qualifications

• Undergraduate degree in Engineering, Computer Science, or equivalent technical field.
• 5+ years of analytics/engineering experience.
• Advanced proficiency with R, Python, or SAS and SQL.
• Strong BI reporting skills in Power BI/Tableau/Qlik Sense.

Responsibilities

• Design and maintain data warehouses, dashboards, pipelines, and automated reporting.
• Lead data quality frameworks and data governance in O&M analytics.
• Collaborate across Analytics Engineering, O&M, and Digital teams to deploy data products and AI/ML initiatives.

Skills

R

Python

SQL

Power BI

Tableau

Qlik Sense

DAS/SCADA

GCP/BigQuery

ETL/ELT

DBT

Prefect

Airflow

AI/ML

Communication

Education

Engineering degree

CS background

Tools

Power BI

Tableau

Qlik Sense

BigQuery

DBT

Prefect

Airflow

SCADA

DAS

Job description

AES Clean Energy is seeking a Senior Analytics Engineer to build data architectures supporting O&M analytics and data-driven decisions.

The role expands data availability across stakeholders, develops scalable pipelines, and collaborates with Digital and Operations teams to drive AI/ML projects for solar, wind, and energy storage assets. Strong SQL, Python/R, and BI skills are required.