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Sr. Data Engineer - job 1 of 3

Company Description

NBCUniversal owns and operates over 20 different businesses across 30 countries including a valuable portfolio of news and entertainment television networks, a premier motion picture company, significant television production operations, a leading television stations group, world-renowned theme parks and a premium ad-supported streaming service.

Here you can be your authentic self. As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. We strive to foster a diverse and inclusive culture where our employees feel supported, embraced and heard. We believe that our workforce should represent the communities we live in, so that together, we can continue to create and deliver content that reflects the current and ever-changing face of the world. Click here to learn more about Comcast NBCUniversal’s commitment and how we are making an impact.

Job Description

As part of the global Operations & Technology organization, the D&A 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 supplying our business groups with data to advise and shape strategic business decisions related to our content.

We're looking for a passionate problem solver who’s looking to build the next generation of data pipelines and applications to support our generative AI initiatives. Working across one or more of our main subject areas – research, marketing, engineering frameworks – the Sr Data Engineer role is right for you if you’re a “hands-on” coder who can build and cleanse large datasets in order to report out actionable insights.

In addition, you’ll be working with internal stakeholders, data engineers, visualization experts, data scientists, and other technologists across the business. If you’re someone who loves to take large, disparate data sets and build them into flexible and scalable analytics applications and databases, you’ve come to the right place. Here you can create the extraordinary. Join us!

Responsibilities:

  • Design, build, and scale data pipelines across a variety of source systems and streams (internal, third-party, and cloud-based), distributed/elastic environments, and downstream applications and self-service solutions.
  • Solid understanding of data modeling, warehousing, and architecture principles.
  • Implement appropriate design patterns while optimizing performance, cost, security, and scale and end-user experience.
  • Collaborate with cross-functional teams to understand data requirements and develop efficient data acquisition and integration strategies.
  • 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.
  • Strong understanding of Machine Learning best practices (e.g., training/serving, feature engineering, feature/model selection, imbalance data, RAG patterns) and algorithms (e.g., deep learnings, optimization)
  • Coach and guide others within the organization to build scalable pipelines based on foundational data engineering principles.
  • Participate in development sprints, demos, and retrospectives alongside releases and deployment.
  • Build and manage relationships with supporting engineering teams to deliver work products to production effectively.
  • Collaborate with business leaders, engineers, and product managers to understand data needs.
  • Create documentation for developers and business users to help them understand our products.
  • Implement the 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, transform, and load data from a wide variety of data sources using cloud-native data engineering principles

Qualifications

Basic Requirements:

  • 5+ years of experience in a data engineering or related role
  • Direct experience designing and building data modeling, ETL/ELT development principles, or data warehousing concepts
  • Strong knowledge of data management fundamentals and data storage principles
  • Deep experience in building data pipelines using Python/SQL 
  • Deep experience in Airflow or similar orchestration engines
  • Deep experience in applying CI/CD principles and processes to data engineering solutions.
  • Strong understanding of cloud data engineering design patterns and use cases
  • Bachelor's degree in Computer Science, Data Science, Statistics, Informatics, Information Systems, Mathematics, Computer Engineering, or quantitative field.

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: $115,000 -  $145,000

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 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].

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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Average salary estimate

$130000 / YEARLY (est.)
min
max
$115000K
$145000K

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 Sr. Data Engineer, NBCUniversal

At NBCUniversal, we're on the lookout for a dynamic Sr. Data Engineer to join our talented D&A team in the heart of New York, NY. In this role, you’ll dive into the exhilarating world of data analytics, helping shape strategic decisions across an incredible portfolio that includes news, entertainment, and world-famous theme parks. If you're a passionate coder who loves creating robust data pipelines and applications, you’re going to fit right in! You’ll be collaborating with a variety of stakeholders, from data scientists to business leaders, to understand their data needs and develop efficient integration strategies. Your experience with data modeling, ETL/ELT principles, and cloud-natives will shine as you optimize our operations to create actionable insights. Here at NBCUniversal, we value innovation and creativity, and we're eager for you to bring your unique perspective to our projects. You'll play a key role in implementing best practices for machine learning and will be guiding other engineers in building scalable solutions. The sky's the limit when it comes to the impact you can make here. If you’re ready to take your career to the next level and contribute to transformative projects in the company, we can’t wait to see how you can create the extraordinary with us!

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

As a Sr. Data Engineer at NBCUniversal, your key responsibilities include designing and building scalable data pipelines, collaborating with cross-functional teams, and developing efficient data acquisition strategies. You'll be working with cloud-based data engineering principles and managing relationships with other technology teams to ensure seamless integration of data from various sources.

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

To qualify for the Sr. Data Engineer role at NBCUniversal, candidates should have 5+ years of experience in data engineering or a related field, strong knowledge of data management fundamentals, and hands-on experience in building data pipelines using Python/SQL. A Bachelor's degree in a relevant field such as Computer Science or Data Science is also required.

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How does the Sr. Data Engineer role support NBCUniversal's business objectives?

The Sr. Data Engineer role directly supports NBCUniversal's business objectives by providing data-driven insights that shape strategic decisions across its diverse brands. By building and managing data pipelines, you will enable the organization to harness the power of analytics to enhance content and user experiences.

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What technologies are preferred for the Sr. Data Engineer role at NBCUniversal?

Candidates for the Sr. Data Engineer position at NBCUniversal should be proficient with technologies such as Airflow for orchestration, Python and SQL for data manipulation, and cloud-native architecture principles. Familiarity with machine learning concepts and best practices is also highly beneficial.

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Is there a remote work option for the Sr. Data Engineer position at NBCUniversal?

Yes, the Sr. Data Engineer position at NBCUniversal is fully remote. This allows you to contribute from anywhere while enjoying company-sponsored benefits such as medical, dental, vision insurance, and more!

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Common Interview Questions for Sr. Data Engineer
Can you explain your experience with data pipeline design?

Be specific about the projects you've worked on, the technologies you used, and the results achieved. Highlight your problem-solving approach and how you ensured scalability and efficiency.

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How do you handle data quality issues?

Discuss methods you employ to monitor data quality, such as validation techniques or regular audits, and share examples of how you’ve resolved quality issues in the past.

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What experience do you have with cloud-based data solutions?

Highlight your familiarity with cloud platforms like AWS or Azure, projects involving cloud data storage, and how you've leveraged these tools to optimize data engineering processes.

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How do you prioritize tasks in a data engineering project?

Explain your approach to project management, such as using Agile methodologies, and provide an example of a project where efficient prioritization led to timely delivery.

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What is your familiarity with ETL and ELT processes?

Discuss your hands-on experience with both ETL and ELT, explaining how you've applied each in particular projects and the impact they had on overall data processing.

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

Walk through the problem, the method you used to analyze it, and the solution you implemented, emphasizing your analytical skills and technical knowledge.

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What methods do you use for data modeling?

Share your approach to data modeling, mentioning the tools and frameworks you favor and providing an example of a successful model you've built.

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How do you ensure documentation is thorough and useful?

Talk about your documentation practices, the importance of it for team members and future projects, and give an example of documentation you've created in past roles.

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

Discuss how you collaborate with cross-functional teams, share insights on effective communication, and provide examples of successful collaboration on projects.

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How do you stay updated with industry trends and technologies in data engineering?

Mention any resources you follow such as blogs, podcasts, conferences, and how you apply new knowledge to your work, showcasing your commitment to continuous learning.

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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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Full-time, remote
DATE POSTED
January 4, 2025

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