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.

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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

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.

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.