Principal Data Engineer

Google Chrome Microsoft Edge Apple Safari Mozilla Firefox Principal Data EngineerFull-timeBusiness Segment: Operations & Technology Compensation: USD 160000 - USD 200000 - yearlyCompany DescriptionNBCUniversal 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 DescriptionThe Data & Analytics (D&A) team at NBCUniversal is looking for a passionate problem solver who will be an outstanding addition to our team.As the Principal Engineer, you'll be driving the overall delivery and support of data and AI applications including designing and building net new while also enhancing the existing tech stack. You will be responsible for multiple systems that support the analytics needs of various stakeholders. This will include developing and maintaining the applications, identifying resource constraints, project risks and mitigations, and development timelines.You'll also have the opportunity to partner with internal stakeholders, data engineers, and product teams to design and build the next generation of data applications. If you're an individual who is capable of managing large-scale software engineering initiatives, coaching junior engineers, interfacing with product and business stakeholders and a passion for solving challenging problems, then this role is for you! Join us!Core Responsibilities:Design, build, and scale data pipelines across a variety of source systems and streams (internal, third-party, and cloud-based), distributed/elastic environments, and downstream applications and self-service solutions.Deep understanding of Machine Learning best practices (e.g., training/serving, feature engineering, feature/model selection, imbalance data, RAG patterns) and algorithms (e.g., deep learnings, optimization)Solid understanding of data modeling, warehousing, and architecture principles.Implement appropriate design patterns while optimizing performance, cost, security, and scale and end-user experience.Collaborate with cross-functional teams to understand data requirements and develop efficient data acquisition and integration strategies.Interface with other technology teams to extract, load, and transform data from a wide variety of data sources using cloud-native data engineering principles.Become a subject matter expert for data engineering-related technologies and designs.Coach and guide others within the organization to build scalable pipelines based on foundational data engineering principles.Participate in development sprints, demos, and retrospectives alongside releases and deployment.Build and manage relationships with supporting...