Data Engineer, Enterprise Data Engineering

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

This is a new Engineer 3 position that will be responsible for developing, implementing, and maintaining data pipelines and ETL processes critical to support Comcast’s national locates program. Ensure accurate and timely ingestion of locates-related data from multiple sources. Works closely with operations & analytics teams to structure data effectively for actionable reporting and analysis. The ideal candidate must have a passion for data and a willingness to adapt to various system/operational challenges to work with disparate data sources both internally & externally.

Job Description

As part of the National Locates/Damage Prevention team, this Data Engineer is based in our Denver (Englewood), CO office. It is not approved for remote or virtual employment. We are unable to provide sponsorship for this role now or in the future.

Core Responsibilities:

• Develop, implement and maintain robust ETL processes for ingestion, transformation and loading of locates data.
• Design scalable solutions for large data volumes, optimizing for performance & cost.
• Engage external teams in the creation of data pipelines from various sources, including 811 one call centers, locates vendors and ticket management systems.
• Collaborate closely with analysts and operational stakeholders to ensure data accuracy, quality and consistency.
• Monitor, troubleshoot and optimize data pipelines to maintain efficient and reliable data flow.
• Document data structures and processes clearly to facilitate cross-team understanding and usage.
• Identify and implement improvements to enhance data quality and processing efficiency.
• Ensure compliance with data governance standards, cybersecurity and best practices.
• Provide clear communication of complex technical concepts to non-technical stakeholders
   

Qualifications:

• Bachelor’s degree in Engineering, Computer Science, Data Science, or related technical field.
• 5+ years of experience in data engineering, including developing and maintaining data pipelines and ETL processes.
• Proficiency in SQL, Python, and cloud-based data platforms (AWS, Azure, GCP).  
• Experience with DevOps practices, version control (Git), and collaborative tools (Jira, Confluence).
• Familiarity with Bash, Linux preferred and GIS data, ticket management systems, and locates/811 operations a plus.

Employees at all levels are expected to:

• Understand our Operating Principles; make them the guidelines for how you do your job.
• Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
• Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
• Win as a team - make big things happen by working together and being open to new ideas.
• Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
• Drive results and growth.
• Respect and promote inclusion & diversity.
• Do what's right for each other, our customers, investors and our communities.

Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
 

Skills

Big Data, Data Architecture, Data Engineering, Python (Programming Language)

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