Senior Data Engineer

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