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. Our Diversity, Equity and Inclusion initiatives, coupled with our Corporate Social Responsibility work, is informed by our employees, audiences, park guests and the communities in which we live. We strive to foster a diverse, equitable and inclusive culture where our employees feel supported, embraced and heard. Together, we’ll continue to create and deliver content that reflects the current and ever-changing face of the world.

Job Description

Our Direct-to-Consumer (DTC) portfolio is a powerhouse collection of consumer-first brands, supported by media industry leaders, Comcast, NBCUniversal, and Sky. When you join our team, you’ll 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 doesn’t stop there. With an unequaled 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 the 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 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 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 the “you build it you run it” mentality, and focusing 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 hypotheses, 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 Spark, and Snowflake.
• Experience in progres