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The Energy Authority Tech Stack

Energy portfolio management and trading platform for public power utilities

Utilities Jacksonville, Florida 201–500 employees Founded 1997 Nonprofit

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.

Tech Stack 45 technologies

Core StackPython Power BI Tableau Databricks Azure Data Factory PySpark C# .NET Angular MongoDB SQL Server Visual Studio JavaScript TypeScript Azure DevOps Slack UiPath Azure Azure Data Lake Fabric ASP.NET Core Entity Framework Visual Studio Code HTML5 npm RxJS NgRx MSTest PowerShell KendoUI+15 more

What The Energy Authority Is Building

Challenges

  • Reducing operational inefficiencies
  • Enhancing trade floor operations
  • Reducing power costs
  • Minimizing risk
  • Ensuring compliance with regulatory standards
  • Data capture and reconciliation
  • Cloud transformation
  • Data lake architecture development
  • Cloud data solution stability
  • Respond competitively in changing energy markets

Active Projects

  • Automation solutions for trade floor operations
  • Data visualization for decision-making
  • Data lake architecture development
  • Cloud data solution development
  • Tea market insights publications
  • Fundamental modeling for resource stack dynamics
  • Trading strategy development
  • Modeling impact of new generation, storage, and transmission line projects on future energy prices
  • Forecasting nodal/zonal energy prices
  • Wholesale energy transaction origination

Hiring Activity

Accelerating15 roles · 9 in 30d

Department

Finance
4
Support
3
Data
2
Engineering
2
Ops
2
Product
1
Sales
1

Seniority

Intern
6
Mid
4
Manager
2
Director
1
Junior
1
Senior
1

Notable leadership hires: Origination Director

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About The Energy Authority

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.

HeadquartersJacksonville, Florida
Company Size201–500 employees
Founded1997
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does The Energy Authority use?

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.

What is The Energy Authority working on?

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.

How this profile is built

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.