Senior Data Engineer - Databricks & AI-Powered Pipelines

Xcel Energy; Denver (CO); Hybrid; USD 98.000 - 139.000; Vollzeit

Benefits dieser Stelle

Annual Incentive Program

Medical/Dental/Vision plans

Retirement plan (401k)

Zusammenfassung

Xcel Energy is seeking a Data Engineer to build and evolve data pipelines, internal applications, dashboards, and engineering workflows across energy planning domains. The role collaborates with Product, Data Science, IT, and external consultants to deliver scalable data solutions.

You will establish standards for code quality, testing, documentation, deployment, and knowledge transfer while applying automation and AI-assisted development practices to improve delivery speed and reliability.

Qualifikationen

• Seven years of related functional experience.
• Bachelor's degree in Technology, Science, Business or related field, or 4 years of experience equivalent to the position.
• Excellent communication skills and ability to translate between technical and non-technical concepts.
• Experience managing the lifecycle of technical solutions.
• Proven leadership on technical aspects of large scale projects.
• Experience with delivery methodologies (Waterfall, Agile, Scrum) and ITIL.

Aufgaben

• Lead and support solution lifecycle technical activities with focus on user experience and performance.
• Monitor solution health, address operational risks, and manage vendor activities.
• Stay current on technical domain knowledge and apply it to projects.
• Coach and mentor team members and collaborate cross-organizationally to optimize solutions.

Kenntnisse

7+ years exp

Communication skills

Leadership experience

Analytical skills

Problem-solving

Cross-functional collaboration

Technical judgment

Ambiguity tolerance

Delivery methodologies (ITIL, Agile)

Ausbildung

Bachelor's degree in Technology/Science/Business or equivalent (4 years exp)

Tools

Databricks

Medallion architecture

Python APIs

CI/CD tooling

Jobbeschreibung

Xcel Energy is seeking a Data Engineer to build and evolve data pipelines, internal applications, dashboards, and engineering workflows across energy planning domains. The role collaborates with Product, Data Science, IT, and external consultants to deliver scalable data solutions.

You will establish standards for code quality, testing, documentation, deployment, and knowledge transfer while applying automation and AI-assisted development practices to improve delivery speed and reliability.