Energy portfolio management and trading platform for public power utilities
The Energy Authority operates a data-intensive platform for 80+ municipal utilities managing 30,000+ MW of generation assets. Their tech stack (Python, Databricks, Azure Data Lake, Power BI, Tableau) is anchored in cloud data infrastructure, but hiring velocity—accelerating, with 9 roles posted in 30 days—concentrates in finance (4), support (3), and data (2), signaling a push toward operational automation and analytics at scale rather than product-led expansion. Active projects span trade-floor automation, price forecasting, and fundamental resource modeling, all targeting the core pain of responding competitively in volatile energy markets.
Notable leadership hires: Origination Director
The Energy Authority is a nonprofit cooperative providing portfolio management, trading, optimization, and advanced analytics to public power utilities across the United States. Owned and directed by member utilities, TEA serves over 80 public power organizations representing combined generation capacity across hydro, thermal, and renewable fuel types. Their service model centers on turning operational data into strategic insights: portfolio risk management, wholesale energy trading, renewables procurement, transmission planning, and deep-dive analytics. Operations are headquartered in Jacksonville, Florida.
Python, Databricks, Azure Data Lake, Power BI, Tableau, Azure Data Factory, C#/.NET, Angular, SQL Server, and UiPath. Infrastructure runs on Microsoft Azure with PySpark for distributed processing and Azure DevOps for delivery.
Core projects include trade-floor automation, data lake architecture, price forecasting (nodal/zonal), fundamental resource modeling, and market-insights publications. Current pain points center on operational efficiency, trade-floor operations, cloud data stability, and regulatory compliance.
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.