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Sr. Staff Data Engineer - job 1 of 7

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

As part of the global Operations & Technology organization, the Data & Analytics team is focused on data and analytics strategies for the future. We support NBCU’s vast portfolio of brands - from broadcast, cable, news, and sports networks to film studios, world-renowned theme parks and a diverse suite of digital properties. We take pride in providing NBCUniversal with data to advise and shape strategic business decisions. 

The Data & Analytics team at is looking for a passionate Sr Staff Data Engineer who’s looking to build the next generation of data solutions while working with internal stakeholders, other data engineers, data scientists, and other technologists across one or more of our main subject areas.  The Sr Staff Data Engineer role is right for you if you’re a subject matter expert in designing and developing great data models and can maintain the fine balance of business acumen and deep technical knowledge. Here you can create the extraordinary. Join us! 

Responsibilities: 

  • Lead the process of building and designing data models that derived from multiple sources i.e., Manipulating data, flat files, and raw information into cohesive data sets for our stakeholders to easily use and incorporating the results into actionable insights 
  • Implement appropriate design patterns while optimizing performance, cost, security, and scale and end user experience  
  • Collaborate with business leaders, engineers, and product managers to understand data needs.  
  • Interface with other technology teams to extract, load, and transform data from a wide variety of data sources using cloud-native data engineering principles  
  • Become a subject matter expert for data engineering related technologies and designs   
  • Coach and guide others within the D&A organization to build scalable pipelines and semantic data models based on foundational data engineering principles  
  • Participate in development sprints, demos, and retrospectives, alongside releases and deployment  
  • Build and manage relationships with supporting IT teams in order to effectively deliver work products to production   
  • Transform large volumes of complex data into digestible bits to enable technical/non-technical end users make data driven decisions while optimizing the user experience and adhering to branding standards 
  • Act as a subject matter expert in the design and recommendation of data modeling methodologies and approaches 
  • Remain up to date with latest data standards, systems and future forward tools and languages 

Qualifications

  • 12+ years of progressive experience in data engineering, warehousing, data modeling and development building of data and analytics products  
  • 10+ years of experience with SQL, data modeling, ETL/ELT development principles, cloud development, and data warehousing concepts  
  • 8+ years of experience in a business-facing analytical role and proven track record of related success  
  • 8+ years of experience with data visualization tools (Power BI, Tableau, MicrosStrategy, and/or related)  
  • 8+ years working with data modelling and semantic/virtualization layer tools (DBT, AtScale, etc) 
  • Knowledge of cloud technologies such as AWS, GCP, and/or Azure
  • Knowledge of data modeling, management fundamentals and data storage principles   
  • Experience in building data pipelines using Python/SQL or similar programming languages  
  • Demonstrated experience in Airflow, Luigi or similar orchestration engines   

Desired Characteristics:

  • Powerful Storytelling with large, complex datasets 
  • Strong experience in SQL, DB and ELT tools such as Snowflake, Redshift 
  • Experience or previous exposure to federated query engines (Trino / Starburst) 
  • Familiarity with cloud solutions and cloud storage (AWS S3, GCS, Azure Data Lake Storage) 
  • Media-focused - Strong working knowledge of media including broadcast TV, digital, and mobile 
  • Communicator – You have excellent verbal and written skills with the ability to communicate ideas effectively across all levels of the organization, both technical and non-technical 
  • Action-oriented – You're constantly figuring out new problems and are regularly showing results with a positive attitude, always displaying ethical behavior, integrity, and building trust 
  • Strong understanding of Agile principles and best practices 

Additional Requirements:

  • Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence.

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: $150,000 - $185,000 (bonus eligible)

We are accepting applications for this position on an ongoing basis.

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. 

If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing [email protected].

For LA County and City Residents Only:  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.

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$150000K
$185000K

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What You Should Know About Sr. Staff Data Engineer, NBCUniversal

As a part of NBCUniversal, the Sr. Staff Data Engineer position is an exciting opportunity to contribute to a company renowned for its diverse array of film, television, and streaming services. Your role will be integral to our global Operations & Technology organization and specifically within the Data & Analytics team. This team is dedicated to shaping data and analytics strategies that support our expansive portfolio of brands, from broadcast to digital properties. As Sr. Staff Data Engineer, you’ll be responsible for designing and building dynamic data models from a variety of sources. Imagine transforming complex datasets into actionable insights that drive strategic business decisions! Collaborating with seasoned data engineers, data scientists, and tech professionals will help you refine your skills and share your subject matter expertise. Your technical prowess will shine as you implement design patterns that prioritize performance and security, while also ensuring seamless end-user experiences. You’ll be instrumental in fostering relationships with business leaders, guiding teams on building scalable data pipelines, and staying ahead in the ever-evolving tech landscape. At NBCUniversal, we value creativity and collaboration, and we can’t wait for you to bring your passion for data engineering to our innovative environment. Join us in building extraordinary data solutions that empower our diverse audiences!

Frequently Asked Questions (FAQs) for Sr. Staff Data Engineer Role at NBCUniversal
What are the key responsibilities of a Sr. Staff Data Engineer at NBCUniversal?

As a Sr. Staff Data Engineer at NBCUniversal, you'll lead the design and implementation of data models that connect multiple data sources while optimizing for performance and user experience. Your role involves collaborating with stakeholders to understand their data needs and interfacing with technology teams to manage the data extraction, loading, and transformation processes.

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What qualifications are necessary for the Sr. Staff Data Engineer position at NBCUniversal?

The Sr. Staff Data Engineer role at NBCUniversal requires at least 12 years of progressive experience in data engineering, along with 10 years of hands-on experience in SQL and cloud development. Familiarity with data visualization tools and various cloud technologies such as AWS or Azure is also essential for success in this position.

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How does the Sr. Staff Data Engineer contribute to business decisions at NBCUniversal?

In your role as a Sr. Staff Data Engineer at NBCUniversal, you'll be responsible for transforming complex data into digestible insights that empower both technical and non-technical stakeholders to make informed, data-driven decisions that align with the company’s overall strategic goals.

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What qualities does NBCUniversal look for in a Sr. Staff Data Engineer?

NBCUniversal seeks a candidate with strong communication skills who can effectively convey ideas to varied audiences. Additionally, being action-oriented, ethical, and familiar with Agile principles will help you thrive in the dynamic environment as a Sr. Staff Data Engineer.

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What benefits does NBCUniversal offer for the Sr. Staff Data Engineer position?

NBCUniversal offers a competitive salary range for the Sr. Staff Data Engineer position, along with comprehensive company-sponsored benefits including medical, dental, vision insurance, 401(k), paid leave, and tuition reimbursement. These perks reflect NBCUniversal’s commitment to the well-being of its employees.

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Common Interview Questions for Sr. Staff Data Engineer
Can you describe your experience with ETL processes as a Sr. Staff Data Engineer?

When answering, focus on specific ETL projects you've worked on, mentioning the tools and technologies you used. Highlight your understanding of ETL principles and how your work improved data management or performance.

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How do you optimize data models for performance?

Discuss your approach to analyzing and refining data models, such as using indexing, partitioning, and normalization techniques. Give examples of how optimization impacted performance in your previous work.

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What methodologies do you follow for data governance?

You can mention methodologies that ensure data quality, security, and compliance. Discuss any frameworks you’ve implemented or participated in, and the positive results they have achieved.

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How do you ensure effective collaboration with business stakeholders?

Highlight the importance of communication in your process and share examples of how you've engaged with stakeholders to gather requirements or present data insights effectively.

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What tools do you prefer for data visualization, and why?

Discuss your experience with tools like Power BI or Tableau and how they've helped in flattening complex data for stakeholder understanding. Mention a successful project where visualization played a key role.

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Can you explain your approach to building scalable data pipelines?

Demonstrate your understanding of pipeline architecture, detailing techniques for scalability and maintainability. Provide an example of a project where your approach significantly improved data flow.

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What challenges have you faced when working with large datasets?

Be honest about specific challenges, such as data integrity issues or performance lags. Explain how you overcame these obstacles using technical skills or innovative solutions.

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How do you stay updated with evolving data engineering trends?

Share your commitment to continuous learning through resources like tech blogs, webinars, or industry conferences. Highlight your ability to apply new knowledge to your work.

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Have you ever coached or mentored other engineers? Can you share that experience?

Describe your mentoring experiences along with the approach you took to guide your colleagues, emphasizing the importance of knowledge sharing and built relationships.

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What’s your experience with cloud platforms such as AWS or Azure?

Discuss specific projects where you've leveraged cloud technologies for data engineering tasks. Mention particular services you’ve utilized and the impact on 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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April 22, 2025

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