Senior Data Engineer at NBCUniversal

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Jul, 26

Salary

145000.0

Posted On

21 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Java, Scala, SQL, Data engineering, Cloud computing, Apache Airflow, Kafka, Spark, Flink, Data modeling, Machine learning, GitOps, Test-driven development, Data pipelines, Automation

Industry

Entertainment Providers

Description

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 The Media Group at NBCU supports a powerhouse collection of consumer-first brands including Peacock, NBC, Bravo, NBC Sports, and NBCU International. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We’re always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we’re backed by a culture of respect. We embrace authenticity and inspire people to thrive. As part of the Media Group Decision Sciences team, the Senior Data Engineer will be responsible for creating a connected data ecosystem that unleashes the power of our streaming data. 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 Senior Data Engineer will share responsibilities in the development and maintenance of data pipelines that facilitate data driven machine learning, as well as support ongoing operations related to the Media Group data ecosystem Responsibilities include, but are not limited to: Collaborate with a high-performance team of Data Engineers Contribute to and facilitate design, build, testing, scaling, and maintaining data pipelines from a variety of source systems and streams (Internal, third party, cloud based, etc.), according to business and technical requirements. Deliver observable, reliable and secure software, embracing “you build it you run it” mentality, and focus on automation and GitOps. Continually work on improving the codebase and have active participation and oversight 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 to share and contribute to the broader technical vision. Develop and champion best practices, striving towards excellence and raising the bar within the department. Develop solutions combining data blending, profiling, mining, statistical analysis, and machine learning, to better define and curate models, test hypothesis, and deliver key insights Operationalize data processing systems Qualifications 3+ years relevant experience in Data Engineering Programming skills in one or more of the following: Python, Java, Scala Proven ability to write reusable/efficient code to automate analysis and data processes Intermediate level of experience querying relational databases with SQL Demonstrated experience implementing scalable, distributed, and highly available systems in a cloud ecosystem Ability to work with graph-based data workflows (e.g., Apache Airflow) Ability to develop data catalogs while ensuring clarity and correctness of key business metrics Experience building streaming data pipelines using Kafka, Spark or Flink Data modelling experience (operationalizing data science models/products a plus) Bachelor’s degree with a specialization in Computer Science, Engineering, Physics, other quantitative fields or equivalent industry experience. Desired Characteristics 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 Experience building and deploying ML pipelines: training models, feature development, regression testing Strong Test-Driven Development background, with understanding of levels of testing required to continuously deliver value to production. Experience with large-scale data for analytics (media experience a plus) 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 surface and navigate differing perspectives constructively to drive alignment and sound technical decisions Pride and ownership in your work and confident representation of your team to other parts of NBCUniversal Additional Requirements Hybrid: This position currently has a hybrid schedule, which requires contributing 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: $115,000 - $145,000 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 [email protected]. Business Segment: Media Group Functions Compensation: USD 115000 - USD 145000 - yearly

Responsibilities

The Senior Data Engineer will design, build, and maintain scalable data pipelines to support machine learning and streaming data ecosystems. They will collaborate with a high-performance team to operationalize data systems while ensuring reliability, security, and automation.