Sr. Data Engineer, Peacock

Company Description

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. Click here to learn more about Comcast NBCUniversal’s commitment and how we are making an impact.

Job Description

Welcome to Peacock, the dynamic new streaming service from NBCUniversal. Here you’ll find more than a job. You’ll find a fast-paced, high-performance team of incredible colleagues that want to be at the epicenter of technology, sports, news, tv, movies and more. We work hard to connect people to what they love, each other and the world around them by creating shared experiences through culture-defining entertainment. 

As a company, we embrace the power of difference. Our team is committed to creating an organization that champions diversity and inclusivity for all by curating content and a workforce that represents the world around us.  We continue to challenge ourselves and the industry by being customer-centric, data-driven creatures of innovation. At Peacock, we are determined to forge the next frontier of streaming through creativity, teamwork, and talent. 

As part of the Direct-to-Consumer Decision Sciences team, the 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 Data Engineer will share responsibilities in the development and maintenance of an optimized and highly available data pipelines that facilitate deeper analysis and reporting by the business, as well as support ongoing operations related to the Direct to Consumer data ecosystem
 
Responsibilities include, but are not limited to

• Design, build, test, scale and maintain 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 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.
• 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 (dev ops)

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.

Qualifications

• 3+ Years of Experience of near Real Time & Batch Data Pipeline development in a similar Big Data Engineering role.
• Programming skills in one or more of the following: Java, Scala, R, Python, SQL and experience in writing reusable/efficient code to automate analysis and data processes
• 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 implementing scalable, distributed, and highly available systems using Google Cloud
• Hands on programming experience of the following (or similar) technologies: Apache Beam, Scio, Apache