Principal Data Engineer

PA - Philadelphia, 1800 Arch St

Comcast

Comcast NBCUniversal creates incredible technology and entertainment that connects millions of people to the moments and experiences that matter most.

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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

Responsible for leading data study in telemetry as BAU. Developing, implementing, and testing ML models for Operations. Utilizes a strong background in telemetry and leverages AWS experience to design and implement telemetry data analysis strategies. Develops advanced analytics models, and provides data-driven insights to improve products and services. Within a squad of developers, the Principal Data Engineer will be a technical resource on data query, optimization, pipeline development and optimization, as well as big data best practices. Understands global privacy laws and their application to sensitive data. Well-versed in big data concepts, analytical engines and data science. Experience in broadband communications and technology is helpful.

Job Description

Core Responsibilities

  • Works with Operations partners to create ML Models from relational telemetry, explores targets of opportunity for data study to improve the customer experience, and drives product improvements.
  • Collaborates with project stakeholders to identify product and technical requirements. Conducts analysis to determine integration needs.
  • Designs data products, supports data products under development and customizes current applications. Develops ETL pipelines and optimizes for minimal budget impact, maximum reliability.
  • Trains junior Software Development Engineers in internally developed data applications.
  • Oversees the researching, writing and editing of documentation and technical requirements, including data pipeline designs, evaluation plans, test results, technical manuals and formal recommendations and reports.
  • Keeps current with technological developments within the industry. Monitors and evaluates competitive applications and products. Reviews literature, patents and current practices relevant to the solution of assigned projects.
  • Assists with technical leadership throughout the design process and assists in guidance with regards to practices, procedures and techniques. Serves as a guide mentor for Data Engineers.
  • Assists in tracking and evaluating performance metrics. Ensures team delivers on time, to specification and within budget.
  • Works with Operations team to determine if data fit specification and technical requirements. Tests and evaluates systems, subsystems and components.
  • Acts as a technical contact and liaison for outside vendors and/or customers.
  • Presents and defends architectural, design and technical choices to internal and external audiences.
  • 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) and overtime as necessary.
  • Other duties and responsibilities as assigned.

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 an EOE/Veterans/Disabled/LGBT employer.

Skills

Business Analytics, Data Engineering, Data Science, Programming Languages, Public Clouds

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 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.

Certifications (if applicable)

Relative Work Experience

10 Years +

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.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: AWS Big Data Business Analytics CX Data analysis Engineering ETL Machine Learning ML models Pipelines Privacy Testing

Perks/benefits: Career development

Region: North America
Country: United States

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