data
Posted YesterdaySenior Data Engineer
at Xcel Energy
Denver, United StatesOn-site
Responsibilities
- Responsibilities Solution Delivery: Lead and support solution lifecycle technical activities. Ensure solutions are designed for great user
- Lead design, ensuring Enterprise Architecture, Security, Operations and Compliance aspects are continuously integrated into solutions.
- Oversee vendor activities.
- Coach and mentor less experience team members.
- Design and implement modern data pipelines and curated data products using Databricks (Delta tables, workflows and notebooks).
- Maintain deep expertise in data engineering and modern data architectures and Databricks capabilities.
- Track and drive awareness to operational and technical debt risks.
- Utilize analytics to improve availability, reliability, efficiency and capacity.
- Oversee vendor activities. Minimum
Requirements
- They bring innovative solutions to the business line by leveraging their technical expertise in modern data tooling, automation and AI-assisted development practices.
- Requirements Ten years of related functional experience. Bachelor's degree in Technology, Science, Business or related field, or 4 years of
- Broad and deep knowledge of technology architecture, infrastructure, network, security and software principles and models.
- Experience working in partnership with internal and external vendors.
- Extensive knowledge of future technology trends within area of expertise.
- Experience coaching other developers in system deployment or operational troubleshooting.
- Experience with delivery methodologies (Waterfall, Agile, Scrum) and operational models (ITIL).
- Experience and understanding of core IT Service Management functions, such as Change Management and Incident Management. Preferred
- Requirements Advanced degree in Computer Science, Engineering, Data Science, or related field. Hands-on
- experience with Databricks (jobs/workflows, Delta tables, performance tuning, Unity Catalog, access controls).
- Experience building and maintaining internal data applications (Databricks apps, Lakebase, dashboards,) integrated with enterprise platforms.