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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.

Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

Skills:

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

Salary:

Primary Location Pay Range: $104,885.67 - $157,328.50

Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary (https://jobs.comcast.com/benefits) on our careers site for more details.

Education

Bachelor's Degree

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Relevant Work Experience

5-7 Years

**Job Family Group:** Enterprise Analytics & Data Intelligence