NBCUniversal Data Engineer \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Data Engineer Full-time Business Segment: Media Group Functions Compensation: USD100,000 \- USD135,000 \- yearly 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 Our Media Group portfolio is a powerhouse collection of consumer-first brands, supported by media industry leaders, Comcast, NBCUniversal, and Sky. When you join our team, youll work across our dynamic portfolio including Peacock, NOW, Fandango, SkyShowtime, Showmax, and TV Everywhere, powering streaming across more than 70 countries globally. And the evolution doesnt stop there. With an unequaled scale, our teams make the most out of every opportunity to collaborate and learn from one another. Were always looking for ways to innovate faster, accelerate our growth, and consistently offer the very best in the consumer experience. But most of all, were backed by a culture of respect. We embrace authenticity and inspire people to thrive. As part of the Media Group Decision Sciences team, the Data Engineer will be responsible for creating a connected data ecosystem that unleashes the power of our streaming data with a focus on international propositions.  We gather data from across all customer/prospect journeys in near real-time, to allow fast feedback loops across territories; combined with our strategic data platform, this data ecosystem is at the core of being able to make intelligent customer and business decisions. In this role, the Data Engineer will share responsibilities in the development and maintenance of optimized and highly available data pipelines that facilitate deeper analysis and reporting by the business, as well as support ongoing operations related to the Media Group data ecosystem. Responsibilities include, but are not limited to: Develop and maintain batch and streaming data pipelines according to business and technical requirements. Deliver observable, reliable and secure software, embracing you build it, you run it mentality, and focus on automation. Continually work on improving the codebase and have active participation in all aspects of the team, including agile ceremonies. Take an active role in story definition, assisting business stakeholders with acceptance criteria. Work with Principal Engineers and Architects to share and contribute to the broader technical vision. Practice and champion best practices, striving towards excellence and raising the bar within the department. Operationalize data processing systems (DevOps) and system observability (SRE) Qualifications Qualifications 1+ years relevant experience in Data Engineering Experience of near Real Time & Batch Data Pipeline development in a similar Big Data Engineering role. Programming skills with an OOP language (e.g., Java, C++) Proficient with SQL Experience working in a cloud environment such as Google Cloud Platform or AWS Hands on programming experience of the following (or similar) technologies: - Kubernetes, Docker - Apache Beam, Apache Flink, Apache Spark - Google BigQuery, Snowflake - Google BigTable - Google Pub/Sub, Kafka - Apache Airflow Experience implementing observability around data pipelines using SRE best practices. Experience in processing structured and unstructured data into a form suitable for analysis and reporting with integration with a variety of data metric providers ranging from advertising, web analytics, and consumer devices. Bachelors degree with a specialization in Computer Science, Engineering, Physics, other quantitative field or equivalent industry experience. Desired Characteristics Strong Test-Driven Development background, with understanding of levels of testing required to continuously deliver value to production. Experience with large-scale video assets Ability to work effectively across functions, disciplines, and levels Team-oriented and collaborative approach with a demonstrated aptitude, enthusiasm and willingness to learn new methods, tools, practices, and skills Ability to recognize discordant views and take part in constructive dialogue to resolve them Pride and ownership in your work and confident representation of your team to other parts of the business Additional Requirements Hybrid: This position has been designated as hybrid, which currently requires contributing from the office a minimum of three days per week. Beginning January 5, 2026, hybrid employees will be required to work from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. 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: $100,000 - $135,000. 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 . Job Location Google Maps requires functional cookies to be enabled I'm interested I'm interestedCookies Settings I'm interested share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Other jobs at NBCUniversal Marketing Paralegal Universal City, CALIFORNIA Lead Data Engineer Brentford, United Kingdom Director, Strategic Analytics & Content Optimization New York, NEW YORK Show all jobs Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. Data Engineer 30 Rockefeller Plaza, New York, NEW YORK Full-time I'm interested I'm interested

The role requires at least one year of relevant experience in Data Engineering, with a focus on near real-time and batch data pipeline development. Proficiency in SQL and programming skills in an object-oriented language such as Java or C++ are necessary. Experience with cloud environments like Google Cloud Platform or AWS is also required. Hands-on programming experience with technologies including Kubernetes, Docker, Apache Beam, Apache Flink, Apache Spark, Google BigQuery, Snowflake, Google BigTable, Google Pub/Sub, Kafka, and Apache Airflow is essential. The position also requires experience implementing observability around data pipelines using SRE best practices and processing structured and unstructured data. A Bachelor's degree in Computer Science, Engineering, Physics, another quantitative field, or equivalent industry experience is needed.