Research, data and grid engineering advisory for North American utilities
E Source pairs utility research and advisory work with a data platform built on Python, Databricks, Spark and AWS, plus power-system tools like PSS/E, PSCAD and PowerFactory. That mix points to two engines: analytics products and grid engineering studies. Accelerating, engineering- and data-heavy hiring, with senior talent dominant, tracks active work on RAG/LLM integration, agentic evaluation, and transmission and interconnection planning.
E Source is a privately held research, advisory and technology firm serving utilities across the US and Canada. Founded in 1986 and headquartered in Houston, Texas, it employs 201–500 people. Its work spans customer experience, utility program design and marketing, energy efficiency, distributed energy and grid operations. The company combines industry research with software and data services, plus power-system engineering studies covering transmission planning and interconnection. It hires in the United States and Canada.
E Source uses Python, AWS, Databricks, Apache Spark, PostgreSQL, Docker, Kubernetes and Jenkins, React, Vue and Svelte on the front end, Salesforce and NetSuite, and grid tools including PSS/E, PSCAD and PowerFactory.
Yes. Hiring is accelerating and weighted toward engineering and data roles, mostly at senior level, with additional openings in sales, consulting, product and research across the US and Canada.
Current projects include RAG and LLM integration, agentic evaluation and monitoring, Python packages for ML pipelines, data quality implementation support, transmission planning, interconnection strategy and EMT modeling.
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E Source's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.