Sr Data Engineer at NBCUniversal

United States

$115k - $145k

Company Description NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. Job Description As part of the global Operations & Technology organization, our Data & Analytics (D&A) team is at the forefront of developing data and analytics strategies to future-proof NBCUniversal’s diverse portfolio. This spans broadcast and cable networks, news and sports channels, film studios, theme parks, and digital platforms. Our mission is to empower business units with trusted, scalable data solutions that drive strategic decision-making. We are seeking a Senior Data Engineer who will play a critical role in designing, building, and evolving our data platforms and pipelines. This role is ideal for experienced data engineers who combine strong hands-on technical skills with architectural thinking and technical leadership. Responsibilities: Lead the design, development, and scaling of complex data pipelines and platforms. Partner with business leaders and engineering teams to translate requirements into production-ready data solutions. Own end-to-end data solutions including modeling, performance, reliability, and cost optimization. Apply cloud-native design patterns to ensure scalability, security, and maintainability. Implement CI/CD, testing, monitoring, and data quality best practices. Provide technical mentorship to junior team members by leading design reviews, conducting thoughtful code reviews, and sharing best practices to raise the overall quality and consistency of data engineering solutions. Actively participate in agile ceremonies and collaborate with platform and IT teams. Qualifications 5+ years of experience in data engineering, demonstrating a foundational understanding of data modeling, ETL/ELT principles, and data warehousing. Experience with data management fundamentals, data storage principles, and cloud-based data warehouses such as cloud Storage (AWS S3, GCP Cloud Storage, Azure Blob Storage, Iceberg), GCP BigQuery, Snowflake, or similar platforms. Proficiency in building data pipelines using Python/SQL. Demonstrate experience with workflow orchestration tools like Airflow, or a willingness to learn. Experience in applying CI/CD principles and processes to data engineering solutions. General understanding of cloud data engineering design patterns and use cases Desired Characteristics: A bachelor’s degree in computer science, Data Science, Statistics, Informatics, Information Systems, Mathematics, Computer Engineering, or a related quantitative discipline is preferred. Strong problem-solving skills and ability to operate in ambiguous environments. Demonstrated interest in mentoring and developing other engineers. 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, 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. Business Segment: Operations & Technology Compensation: USD 115000 - USD 145000 - yearly