Sr. Data Engineer

As part of the global Operations & Technology organization, the D&A team is focused on data and analytics strategies for the future. We support NBCU’s vast portfolio of brands - from broadcast, cable, news, and sports networks to film studios, world-renowned theme parks, and a diverse suite of digital properties. We take pride in supplying our business groups with data to advise and shape strategic business decisions related to our content. We're looking for a passionate problem solver who’s looking to build the next generation of data pipelines and applications. Working across one or more of our main subject areas – research, marketing, and engineering frameworks – the Senior Data Engineer role is right for you if you’re a “hands-on” coder who can build and cleanse large datasets in order to report out actionable insights. In addition, you’ll be working with internal stakeholders, data engineers, visualization experts, data scientists, and other technologists across the business. If you’re someone who loves to take large, disparate data sets and build them into flexible and scalable analytics applications and databases, you’ve come to the right place. Here you can create the extraordinary. Join us! Responsibilities: Collaborate with business leaders, engineers, and product managers to understand data needs. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using cloud-native data engineering principles Design, build, and scale data pipelines across a variety of source systems and streams (internal, third-party, as well as cloud-based), distributed/elastic environments, and downstream applications and/or self-service solutions Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Implement the appropriate design patterns while optimizing performance, cost, security, and scale and end user experience Participate and lead in development sprints, demos, and retrospectives, as well as release and deployment Build and manage relationships with supporting IT teams in order to effectively deliver work products to production