Energy trading, portfolio risk and analytics for public power utilities
The Energy Authority is a member-owned nonprofit that trades, optimizes and manages risk on energy portfolios for public power utilities. Its stack pairs a Microsoft-centric app layer (.NET, Angular, SQL Server) with an Azure data platform (Databricks, Data Factory, Fabric, Spark), backing job-post themes of in-house modeling tools and data pipelines. Hiring is accelerating, tilted toward finance and risk, with an Origination Director role signaling wholesale deal growth.
Notable leadership hires: Origination Director
The Energy Authority, founded in 1997 and headquartered in Jacksonville, Florida, is a nonprofit owned and governed by the public power utilities it serves. It provides energy portfolio management, trading, hydro optimization, renewables procurement, risk advisory, analytics and transmission planning. Its customers are publicly owned utilities across the United States that pool resources for economies of scale. The organization employs between 201 and 500 people and hires within the United States.
TEA uses Python, C#, .NET, ASP.NET Core, Angular and TypeScript, with SQL Server and MongoDB, plus Azure Data Lake, Databricks, Azure Data Factory, Fabric and Spark, and Power BI and Tableau for reporting.
The Energy Authority is headquartered in Jacksonville, Florida, and hires in the United States. It is a nonprofit founded in 1997 with 201–500 employees.
Job posts point to risk limit structures, capacity expansion and production cost models, fundamental power modeling, trading strategy development, wholesale transaction origination, and in-house software tools and data pipelines.
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The Energy Authority'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.