Data Lake Data Engineer

About this role

At E Source, we help utilities make sense of complexity in a rapidly changing landscape, and we’re looking for a Data Lake Data Engineer to help shape how that impact shows up in the world.

E Source is a research, data/analytics, and technology focused professional services firm focused exclusively on the Utility industry in North America. We help utilities target and serve their customers more effectively, enhance and optimize their grid, and leverage operating best practices and technologies to manage their business more effectively. Headquartered in Texas, we have 450+ employees across the US and Canada. Learn more at www.esource.com

As a Data Lake Data Engineer, you’ll play a key role in designing and building the cloud data pipelines and lakehouse infrastructure that power our utility clients’ data programs, including a current 9-month engagement supporting the data lake implementation for a client of ours located on the west coast. You’ll work closely with data scientists, analysts, BI developers, and client technical teams to deliver clean, well-structured data that fuels analytics, machine learning, and operational decisions, helping ensure our work is not only smart, but clear, relevant, and actionable. This role is ideal for someone who enjoys working at the intersection of cloud data engineering, modern lakehouse architecture, and the utility industry, brings strong judgment to complex problems, and wants to contribute to work that shapes real-world decisions in the energy industry.

In this role, you will:

• Design, build, and optimize ETL/ELT workflows in Databricks to ingest data from multiple sources
• Implement data cleansing, enrichment, and standardization processes across batch and streaming pipelines
• Build solutions for real-time analytics and ensure pipelines are scalable, performant, and fault tolerant
• Optimize SQL queries, data models, and cloud resource usage across compute, storage, and networking
• Design and implement data archi...