Senior Data Engineer - Digital Ops Factory Job

At the Digital Operations Factory, we’re driving cultural and technological change within the organization with the mission of leading Xcel Energy to a carbon-free 2050. Come be a part of the energy revolution! You'll work with inspiring, bold, and thoughtful technologists to deliver transformational change in an energetic environment open to fresh ideas. Using an approach grounded in agile scrum and design thinking, we're building greenfield technology that introduces efficiencies across clean-energy sectors of Xcel Energy’s core business. We’re acting as an independent, agile entity with a startup mindset to pave the way for change. We're reinventing Xcel Energy's technology foundations, setting up a cloud environment that is able to launch new capabilities into production weekly, and delivering enhanced customer and employee experiences.

Want more information? Watch this video to learn more about our commitment to change and our roadmap for innovation. Watch Video

Position Summary

Xcel Energy has an exciting opportunity for a Senior Data Engineer to join our team. The Digital Ops Factory Senior Data Engineer will work closely with a multidisciplinary Agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from the factory's connected data, enabling the organization to advance the data-driven decision-making capabilities of the factory's enterprise. This role requires deep understanding of data architecture, data engineering, data analysis, and a general understanding of data science techniques and workflows. The ideal candidate is a skilled data engineer with experience creating data products supporting analytic solutions. They are an Agile learner, possess strong problem-solving skills, work as part of a technical, cross functional analytics team, and want to solve complex data problems and deliver the insights to enable analytics strategy.

Essential Responsibilities
 

• Solution Delivery: Lead and support solution lifecycle technical activities. Ensure solutions are designed for great user experience and operational performance. Lead design, ensuring Enterprise Architecture, Security, Operations and Compliance aspects are continuously integrated into solutions. Provide input to cost and schedule estimation. Responsible for overall integrity of system design and operation. Oversee vendor activities.
• Operations: Review solution performance, and continually assess health of systems. Track and drive awareness to operational and technical debt risks. Provide escalated support to incident and problem management. Utilize analytics to improve availability, reliability, efficiency and capacity. Oversee vendor activities.
• Subject Matter Expertise: Continuously stay current on, and apply, technical industry knowledge pertaining to the respective domain.
• Relationship Management: Conduct peer reviews and approve system changes and technical solution design. Coach and mentor less experience team members. Partner cross-organizationally to drive minimal costs on optimal solutions. Provide in-depth technical information to stakeholders as needed.

Minimum Requirements
 

• Ten 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, effective with varying organizational levels and skill set, and able to translate between technical and non-technical concepts.
• Excellent Relationship Management and collaboration skills, with a track record of working as one team cross-organizationally to drive innovation and business results.
• Experience managing the lifecycle of technical solutions.
• Deep Subject Matter Expertise within the respective system domain products, platforms, processes and architecture.
• Broad general knowledge of technology architecture, infrastructure, network, security and software principles and models.
• Experience working in partnership with internal and external vendors.
• Proven analytical, problem-solving and troubleshooting skills.
• Extensive knowledge of future technology trends within area of expertise.
• Demonstrated leadership on technical aspects of large scale projects.
• 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

• Python and SQL Skills
• Knowledge of Spark, PySpark
• Experience with AWS in the data and analytics space
• Strong troubleshooting and problem solving
• Strong communication skills 

• 4+ years people management of senior talent​

• Provide roadmaps for data strategies for multi organization, multi dependency, and cross functional program​

• Guide thought process around scoping, planning, identifying risks, and generating solutions and mitigation strategies

• Strong foundational understanding of data modeling, cloud and distributed computing, software engineering, analytics and machine learning​

• Solid understanding of information retrieval, data access, SQL, ETL, scalability, performance and cost optimization.​

• Ability to guide teams in designing and building solutions to ingest and process structured and unstructured data from disparate sources, design and implement an analytical environment, engineer ML features and data artefacts.