Data Quality Assurance Specialist, Subscriber Operations

 

Solar Landscape is the leading commercial rooftop solar developer in the U.S. Only 4% of commercial rooftops host solar today — we’re changing that, fast. Commercial rooftop solar is the fastest, smartest way to build new clean power — delivering megawatts of generation in months, not years, and powering America’s energy and future right where it’s needed most. By turning rooftops into local power plants, we’re reshaping how — and how fast — energy gets built in the U.S.

Recognized as the #1 Distributed Generation Developer by New Project Media, the #1 National Commercial Rooftop Solar Developer by Solar Power World, and winner of the U.S. Department of Energy’s Grand Prize for Clean Energy, Solar Landscape is defining the future of energy generation in America.

Headquartered in Asbury Park, New Jersey, Solar Landscape has offices in Chicago, Baltimore, and New York City and operates in over a dozen states nationwide.

We move fast, solve hard problems, and take our work seriously — but never ourselves. We value clear thinking, accountability, and execution. At the same time, we’re collaborative by default, and believe the best work happens when people enjoy working together. Our team is made up of smart, grounded people who show up for each other — whether that’s troubleshooting a system design or catching up over lunch.

If you’re looking to do meaningful work in a high-performance environment — and be part of the team reshaping how energy gets built in the U.S. — we’d love to meet you.

This role supports key compliance and subscriber operations activities by helping maintain accurate and complete subscriber records. You’ll review and validate required documents and check that system data is complete and correctly categorized.

You’ll assist with enrollment workflows by processing usage requests, tracking utility updates, and helping resolve stuck or rejected subscriber records. Additionally, you’ll support ongoing data quality efforts by monitoring utility files, logging file statuses, and helping identify discrepancies that improve overall data integrity.

Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Business Administration, Operations Management, or related field

Strong attention to detail with experience reviewing and reconciling data or documentation.

Strong organizational skills and the ability to manage multiple priorities and deadlines.

Clear written and verbal communication skills for cross functional collaboration

Mastery in Microsoft Excel, Power Query

Proficiency in Power BI

Exposure to community solar, renewable energy, or sustainability focused organizations is a strong plus.