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Xcel Energy Services Inc. is hiring a Data Engineer for the Xcel Vision Suite (XVS) Data & Applications Engineering team in the Denver area.
You will build and evolve data pipelines, internal apps, dashboards, and engineering workflows that support generation, transmission, distribution, and gas planning. You will collaborate with Product, Data Science, and IT, translating loosely defined needs into usable tools while ensuring code quality, testing, and deployment standards.
Xcel Energy (NASDAQ: XEL) is a leading energy provider and Fortune 500 company, dedicated to serving millions of electricity and natural gas customers across eight states: Minnesota, Colorado, Wisconsin, Michigan, North Dakota, South Dakota, New Mexico and Texas. We make energy work better for our customers, helping them thrive every day. That means always raising the bar - delivering better service and providing more reliable, resilient, and sustainable energy.
Xcel Energy is a place where you'll have opportunities to grow, expand your skills, and help lead the clean energy transition. We offer meaningful rewards, recognition, and support to help you build your career and make an impact - both on the job and beyond. Most importantly, it means you'll be joining a company that knows employees are the driving force behind its success and is committed to helping you be your best.
Xcel Energy supports a hybrid work model to enable collaboration and flexibility. Many roles are expected to work onsite three days per week (Tuesday-Thursday); however, work location expectations vary based on role, team, and business needs.
The Data Engineer will be a hands-on engineer on the Xcel Vision Suite (XVS) Data & Applications Engineering team, reporting to the Manager of Data & Applications Engineering. This role will build and evolve the data pipelines, internal applications, dashboards, and engineering workflows that support XVS across generation, transmission, distribution, and gas planning.
The position works closely with Product, Data Science, Enterprise IT, and external consultants to turn planning workflows, data science outputs, and consultant-delivered solutions into maintainable internal capabilities. This role will help establish and follow standards for code quality, testing, documentation, deployment, and knowledge transfer, while contributing to a practical, scalable approach for how XVS tools are built, shipped, and maintained over time.
The role requires strong technical judgment, comfort working in ambiguity, and the ability to translate loosely defined needs into usable tools and data products for planners and engineers. It also includes applying automation and AI-assisted development practices to improve delivery speed, consistency, and quality.