• Sr. Data Engineer

    Comcast (Philadelphia, PA)


    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 role contributes to internal strategy and roadmap for one or more areas of Xfinity Mobile wireless and new wireless growth initiatives in Comcast Emerging Wireless. Perform complex research and analysis of market, technology, standards, competitive trends and projections. Responsible for overseeing design, implementation and evaluation of data engineering products. Guides multiple engineering teams to successfully deploy and operate products and applications. Provides guidance and leadership to other researchers in developing novel ways to solve problems and discover new products. Collaborates and influences teams and works cross functionally. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. Leads teams, projects, and shares expertise.

    Job Description

    Core Responsibilities

    + Develop and maintain Spark ETL pipelines to support Xfinity Mobile wireless initiatives

    + Manage Databricks Workspace and ensure proper usage of cloud compute resources

    + Consistent exercise of independent judgment and discretion in matters of significance

    + Leads discussions with business leaders and stakeholders to understand data and analysis needs and develop technical requirements.

    + Determines relevancy of data and identifies alternative data sources as needed to ensure analytics requested by business stakeholders can be completed.

    + Analyzes large, complex data to determine actionable business insights using self-service analytics and reporting tools.

    + Combines data as needed from disparate data sources to complete analysis.

    + Communicates findings clearly and concisely through narrative-driven presentations and effective data visualizations to Company executives and decision makers.

    + Promotes and evangelizes a culture of excellence, data driven discussions, healthy skepticism, intellectual curiosity, knowledge sharing, and teamwork.

    REQUIRED/DESIRED QUALIFICATIONS

    + BS in Computer Science, Software Engineering or related discipline required

    + 4+ years of experience in software development, data engineering, or data science

    + Solid understanding of Apache Spark architecture, components, and concepts

    + Proficiency in Spark programming using languages like Python/Scala and SQL

    + Understanding of cluster management, configuration, and optimization in Databricks

    + Ability to translate business requirements to a proposed technical solution

    + Familiar with programming, object-oriented design, and application development skills (Python, Scala, SQL)

    + Experience with AWS Solutions, GitHub, and Agile Development

    + Knowledge of Grafana, Tableau, CARTO, and/or Power BI

    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; Big Data; Databasing; Python (Programming Language); 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 (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

    7-10 Years

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