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Manager, Data Engineering - TVE

Company Description

We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation.

Comcast NBCUniversal has announced its intent to create a new publicly traded company ('SpinCo') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025.

As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. Our Diversity, Equity and Inclusion initiatives, coupled with our Corporate Social Responsibility work, is informed by our employees, audiences, park guests and the communities in which we live. We strive to foster a diverse, equitable and inclusive culture where our employees feel supported, embraced and heard. Together, we'll continue to create and deliver content that reflects the current and ever-changing face of the world.

Job Description

Contribute to and help lead team in designing solutions, building, optimizing, testing, scaling, deploying and maintaining data pipelines from a variety of source systems and streams (Internal, third party, cloud based, etc.), according to business and technical requirements, into robust and secure Data Lakes & Data warehouses. Analyze various data sources and build Data Engineering pipelines for NBCU Entertainment networks including NBC, Bravo, Oxygen, SyFy, USA, E!, Universo and Telemundo. Continually work on improving the codebase and have active participation and oversight in all aspects of the team, including agile ceremonies. Work with Principal Engineers and Architects to share and contribute to the broader technical vision. Develop and champion best practices, striving towards excellence and raising the bar within the department. Operationalize data processing systems. Help coordinate with Advanced Analytics and Data Science team, and work with onsite/offshore Data Engineers to own deliverables. Work with teams onsite and offshore in different time zones, to build and maintain Data Engineering processes to support Business Intelligence initiatives, including real-time processing, distributed computing, & containerized solutions. Help in Data QA and ensure required auditing and alerts are implemented for every data engineering pipeline. Create, define, and document processes & help with data governance initiatives within the organization.

This position has been designated as hybrid, generally contributing from the office, in Universal City, CA, a minimum of three days per week.

Qualifications

  • Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Mathematics, Statistics, or related quantitative field (or foreign degree equivalent).
  • The position requires 7 years of experience in the job offered, in a Data Engineering role, Software Engineering role, or in a related occupation.
  • The position requires each of the following skills, which must have been gained through seven (7) years of experience:

 

  1. Processing large direct to consumer datasets and building models using SQL, Python and/or other data engineering tools, and data quality frameworks;
  2. AWS eco-system and services such as S3, EC2, EMR, Lambda, or Kinesis Firehose;
  3. Distributed and columnar database such as Snowflake or Redshift;
  4. Building pipelines sourcing data from APIs and working on semi-structured data formats;
  5. Implementing data pipelines in distributed processing frameworks such as Spark and/or Hadoop using platforms such as Databricks and like tools;
  6. Troubleshooting basic engineering infrastructure issues required for maintenance and upkeep of Data Engineering pipelines;
  7. SDLC process framework – CI/CD using GIT repo or similar tools;
  8. Various data modeling techniques, including creating custom data models in accordance with business needs;
  9. 9Integrating 1st, 2nd and 3rd party data and working on PII data ecosystems.

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website.

Salary range: $175,698- $176,000 per year
Full-time: 40 hours/week

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [email protected].

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Average salary estimate

$175849 / YEARLY (est.)
min
max
$175698K
$176000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Manager, Data Engineering - TVE, NBCUniversal

At NBCUniversal, we are seeking a passionate and experienced Manager of Data Engineering to join our dynamic team at our Universal City, CA office. As a vital part of our organization, you'll be responsible for designing and optimizing data pipelines from a variety of sources to enhance our entertainment networks, including NBC, Bravo, and Telemundo. Your day-to-day will involve collaborating with Principal Engineers and Architects to craft innovative solutions that not only meet business needs but also improve our overall processes. You’ll play a pivotal role in making data accessible across our platforms while championing the best practices within the department. Your creativity and technical skills will be essential in analyzing data, operationalizing data processing systems, and working with a talented team of Data Engineers across different time zones. This exciting hybrid role allows for flexibility and collaboration, offering a blend of in-office and remote work, with a minimum requirement of three days per week on-site. If you have a knack for troubleshooting and maintaining complex data engineering pipelines and are looking to make an impact within a company that values diversity and innovation, then this is the perfect opportunity for you. Join us and help create the remarkable content that resonates with audiences worldwide!

Frequently Asked Questions (FAQs) for Manager, Data Engineering - TVE Role at NBCUniversal
What are the main responsibilities of the Manager, Data Engineering at NBCUniversal?

The Manager, Data Engineering at NBCUniversal plays a crucial role in creating, optimizing, and maintaining data pipelines for various entertainment networks. Responsibilities include designing data solutions, analyzing datasets, collaborating with cross-functional teams, and ensuring data governance initiatives are in place.

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What qualifications are required for the Manager, Data Engineering position at NBCUniversal?

To be considered for the Manager, Data Engineering role at NBCUniversal, candidates need a Bachelor's degree in a relevant field, along with a minimum of 7 years of experience in data engineering or related positions. Familiarity with tools like SQL, Python, AWS services, and distributed databases is essential.

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How does NBCUniversal ensure diversity and inclusion in the Manager, Data Engineering role?

NBCUniversal is dedicated to fostering a diverse and inclusive culture. In the Manager, Data Engineering position, employees are encouraged to share their insights and perspectives, contributing to a workplace that values everyone’s experiences and backgrounds.

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What programming skills are essential for the Manager, Data Engineering role at NBCUniversal?

For the Manager, Data Engineering position at NBCUniversal, strong programming skills in SQL and Python are essential. Additionally, experience with data engineering tools and frameworks, such as Spark and Hadoop, is highly valuable for building efficient data pipelines.

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What are the benefits of working as a Manager, Data Engineering at NBCUniversal?

Working as a Manager, Data Engineering at NBCUniversal comes with a host of benefits including health insurance, a 401(k), paid leave, tuition reimbursement, and discounts across various services. Plus, the unique work culture that values innovation and diversity makes it a great place to grow your career.

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Common Interview Questions for Manager, Data Engineering - TVE
Can you describe your experience with data pipelines and how they relate to the role of Manager, Data Engineering?

In answering this question, highlight specific projects you've worked on that involved designing and implementing data pipelines. Discuss the tools you used, the challenges faced, and how you overcame them, focusing on your strategic thinking in the context of data engineering.

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How do you ensure data quality when developing data pipelines?

Address this by sharing your approach to data validation and integrity checks. Discuss frameworks you have used for data quality and how you handle anomalies or data issues proactively.

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What is your experience with cloud services like AWS in relation to data engineering?

Talk about any specific AWS services you've utilized in your previous projects, such as S3 for storage or Lambda for serverless processing. Provide examples of how these tools improved your data engineering workflows.

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Can you explain the importance of collaboration in data engineering?

Emphasize that data engineering often requires working with various teams, including analytics and data science. Share experiences where collaboration led to successful outcomes, underlining the value of different perspectives in problem-solving.

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What techniques do you use for troubleshooting data engineering issues?

Discuss systematic approaches to identifying and resolving issues, such as monitoring logs, using debugging tools, and checking data flows. Illustrate this with a specific instance where you successfully resolved a data pipeline issue.

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How do you prioritize tasks when handling multiple data engineering projects?

Explain your methods for prioritization, perhaps using Agile methodologies or project management tools. Share examples of how you managed competing deadlines and what criteria drove your decision-making.

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What are some best practices you believe all data engineers should follow?

Mention practices such as documenting processes, adhering to coding standards, and continually optimizing performance. Relate these practices to how they contribute to the overall efficiency and reliability of data systems.

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How do you keep up with the latest trends in data engineering and technology?

Indicate your commitment to professional growth by discussing resources you follow, such as blogs, webinars, or communities. Provide examples of how you've applied new trends or technologies in your work.

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What role does data governance play in your work as a data engineer?

Explain the significance of data governance in ensuring compliance and data integrity. Share experiences where you implemented data governance strategies in your projects.

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Can you describe a challenging data engineering problem you've solved?

Share a specific example that highlights your analytical skills and creativity in approaching complex problems. Discuss steps taken, tools used, and the impact of your solution on the business or project outcomes.

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We are in business to create and deliver content so compelling it entertains, informs and shapes our world. We believe that the talent, creativity and diversity of our people are our greatest resources. We take our business seriously, but do no...

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March 27, 2025

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