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Overview
Mid-Level

Software Developer, Business Systems & Analytics

Confirmed live in the last 24 hours

Arevon Energy

Arevon Energy

Scottsdale, AZ
On-site
Posted April 17, 2026

Job Description

About Arevon

Arevon is a U.S. energy leader committed to powering America with affordable, reliable, and secure homegrown energy. Headquartered in Scottsdale, Arizona, and with a regional office in New York City, the company’s experienced and dedicated team develops, finances, builds, owns, and operates renewable energy projects nationwide. With a strong track record in utility-scale solar and energy storage, Arevon is a trusted partner to utilities and businesses seeking cost-effective, sustainable energy solutions. By prioritizing American manufacturing and domestic energy production, the company invests in U.S. jobs, strengthens local economies, and advances the country’s energy independence.


 

The Position 

As an early member of our development team, you will have a hand in both defining and implementing the projects you take on. We take pride in building quality software using industry recognized best practices alongside modern technologies. The ideal candidate will enjoy taking on high-impact projects and executing them with a focus on product and system design across the stack. 

You will primarily focus on helping to lead the development of two data-intensive, internally built applications: 

  • A real time SCADA data monitoring platform 
  • A real time energy trading platform 

Key Responsibilities 

  • Assist with the architectural design and implementation of product features based on business requirements provided by internal teams. 
  • Design intuitive user interfaces for our data-intensive products with a focus on providing a clean and friendly user experience. 
  • Flex up and down the stack, from database optimization and schema design to frontend UI design. 
  • Maintain existing application cloud infrastructure and help to improve resiliency and efficiency. 
  • Partner with data science teams to deploy and monitor predictive models. 
  • Implement and maintain quality assurance processes, including testing. 
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