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

Responsible for designing, building and overseeing the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources. Establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required. Develops technical tools and programming that leverage artificial intelligence, machine learning and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis. Creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements. Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs. Work with data modelers/analysts to understand the business problems they are trying to solve then create or augment data assets to feed their analysis. Acts as a technical expert in own area within the organization. May work independently or as part of a team on more complex projects. Provides mentoring and guidance to more junior team members.

Job Description

This role is based in our downtown Philadelphia headquarters. It is not approved for remote or virtual employment.

This Engineer 5, Data Engineer contributes to internal strategy and roadmap for one or more areas of Xfinity Mobile wireless and new wireless growth initiatives in Comcast Emerging Wireless.

Core Responsibilities

Manages development of data structures and pipelines aligned to established standards and guidelines to organize, collect, standardize and transform data that helps generate insights and address reporting needs.Focuses on ensuring data quality during ingest, processing as well as final load to the target tables.Guides creation of standard ingestion frameworks for structured and unstructured data as well as checking and reporting on the quality of the data being processed.Creates standard methods for end users / downstream applications to consume data including but not limited to database views, extracts and Application Programming Interfaces.Develops and maintains information systems (e.g., data warehouses, data lakes) including data access Application Programming Interfaces.Participates in the implementation of solutions via data architecture, data engineering, or data manipulation on both on-prem platforms like Kubernetes and Teradata as well as Cloud platforms like Databricks.Determines the appropriate storage platform across different on-prem (minIO and Teradata) and Cloud (AWS S3, Redshift) depending on the privacy, access and sensitivity requirements.Understands the data lineage from source to the final semantic layer along with the transformation rules applied to enable faster troubleshooting and impact analysis during changes.Collaborates with technology and platform management partners to optimize data sourcing and processing rules to ensure appropriate data quality as well as process optimization.Creates establishes and oversees design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements.Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs.Develops strategies for data acquisition, archive recovery, and database implementation.Manages data migrations/conversions and troubleshooting data processing issues.Understands the data sensitivity, customer data privacy rules and regulations and applies them consistently in all Information Lifecycle Management activities.Guides critical issue resolution and shares knowledge such as trends, aggregate, quantity volume regarding specific data sources.Consistent exercise of independent judgment and discretion in matters of significance.Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.Other duties and responsibilities as assigned.
Qualifications10+ years of experience in data engineering or related fields, with a proven track record of designing and implementing large-scale data solutions across cloud and on-prem environments.Expertise in data architecture and pipeline development, including ingestion, transformation, and storage of structured and unstructured data using modern frameworks and platforms (e.g., Databricks, Teradata, Kubernetes, AWS S3, Redshift).Strong programming skills in Python, Scala, or Java, with experience building reusable frameworks and automation tools for data processing and quality assurance.Deep understanding of data governance, privacy, and lifecycle management, including compliance with customer data privacy regulations and secure data handling practices.Hands-on experience with big data technologies and machine learning integration, including the use of AI/ML techniques to cleanse, organize, and transform data.Proficiency in designing APIs and semantic layersfor data consumption by downstream applications and analytics teams, ensuring scalability and performance.Demonstrated leadership and mentoring capabilities, with experience guiding junior engineers and collaborating cross-functionally to align data solutions with business needs.

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 Quality; Data Architecture; Big Data; Data Operations

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 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

10 Years +