Staff Data Engineer

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.

As part of the global Operations & Technology organisation, the Data & Analytics team (D&A) 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.

ABOUT THE ROLE:

The Data & Analytics (D&A) team at NBCUniversal is looking for a passionate problem solver who’s looking to build the next generation of data pipelines and applications. Working across one or more of our main subject areas – research, marketing, engineering frameworks – the Staff Data Engineer role is right for you if you’re a subject matter expert in designing data integration frameworks, pipelines and still love to jump in and be “hands-on” when needed.

In the Staff Data Engineer role, you’ll be working with internal stakeholders, Data Engineers, visualisation experts, data scientists, and other technologists across the businesses. This position requires a passionate Data Engineering expert who has a strong technical background and a passion for leading a team to success – 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.

• 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/or self-service solutions.
• Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.
• Implement appropriate design patterns while optimising 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 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.

REQUIREMENTS:

• 7+ years of experience in a Data Engineering role, leading Data Engineering teams is a plus.
• Direct experience with data modeling, ETL/ELT development principles, cloud development, and data warehousing concepts.
• Knowledge of cloud technologies such as AWS, Azure, GCP.
• Knowledge of data management fundamentals and data storage principles.
• Experience in building data pipelines using Python/SQL or similar programming languages.
• Demonstrable experience in Airflow, Luigi or similar orchestration engines.
• General understanding of cloud Data Engineering design patterns and use cases.
• Bachelor's degree in Computer Science, Data Science, Statistics, Informatics, Information Systems or related field.

PREFERRED QUALIFICATIONS:

• Analytical – You have experience in delivering self-service analytics solutions that promote data discovery
  • Experience with Snowflake, Amazon Web Services, or related cloud platforms a plus.
  • Understanding of big data technology stacks (Hive / Spark etc) is a plus.
  • Experience moving on prem technologies to the cloud is a plus.
• Media-focused - Strong working knowledge of media including broadcast TV, digital, and mobile (specific experience with TV Distribution a plus).
• 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.
  • You’ve dealt with ambiguity and can make quality decisions in a dynamic, fast-paced environment.

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 in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable.

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 AccessibilitySupport@nbcuni.com.