About
NBCUniversal 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 theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation. 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. Comcast NBCUniversal has announced its intent to create a new publicly traded company ('Versant') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025. Job Description
We are seeking a Staff Data Engineer looking to build the next generation of data pipelines and applications across the development of innovative new systems and solutions using a rapidly changing landscape of emerging technologies, including generative AI and large language models. Working across the practices, techniques and tools used for the operational management of large language models in production environments the Staff Data Engineer role is proper for you if you're a subject matter expert in designing data integration frameworks and pipelines and still love to jump in and be "hands-on" when needed. This team is focused on proving the value of new tech and bringing it to production quickly. You'll have the opportunity to partner with internal stakeholders, data engineers, visualization experts, data scientists, and other technologists across the businesses. You've come to the right place if you love to take large, disparate data sets and build them into flexible and scalable analytics applications and warehouses. In addition, you are well-versed in designing, building, and supporting APIs, machine learning services and frameworks, LLMs, lang-chain, and foundational data warehousing technologies. Your primary focus will be building reliable, scalable, and efficient pipelines for use in LLMs and crafting our vision for LLM analytics. You will be essential in defining the team's strategy, evaluating, and integrating data patterns and technologies, and building pipelines alongside domain experts and data scientists. Qualifications
8+ years of experience in a data engineering role, with a strong emphasis on leading data engineering teams Some working knowledge and curiosity about GenAI technologies, such as LLMs, vector databases, or AI-driven data pipelines. Familiarity with the development ecosystem evolving around LLM integration, such as langchain. Ability to think critically about problems, decipher user preferences versus challenging requirements, and effectively use online and onsite resources to find appropriate solutions. Proven ability to thrive in an agile development environment, adept at incorporating feedback and adjusting to changing priorities. Understanding REST-based APIs, vectorized embeddings, and other Retrieval Augmented Generation AI workload components. Direct experience with data modeling, ETL/ELT development principles, cloud development, and data warehousing concepts Knowledge of cloud technologies such as AWS, Azure, GCP Knowledge of data management fundamentals and data storage principles Experience in building data pipelines using Python/SQL or similar programming languages. General understanding of cloud data engineering design patterns and use cases Bachelor's degree in computer science, Data Science, Statistics, Informatics, Information Systems or related field. Desired Characteristics: Familiarity with integrating large language models and AI-generated content technologies into applications. Proven adaptability in a fast-paced, evolving technology landscape, with a strong problem-solving ability and quick learning curve. Effective communication skills, capable of working collaboratively across diverse teams and navigating a large, matrixed organization efficiently. Ability to translate business needs into clear technical requirements. Analytical You have experience in delivering self-service analytics solutions that promote data discovery. Experience with Snowflake, Amazon Web Services, or related cloud platforms a plus Understanding of big data technology stacks (Hive / Spark etc) is a plus Experience moving on prem technologies to the cloud is a plus Action-oriented You're constantly figuring out new problems and are regularly showing results with a positive attitude, always displaying ethical behavior, integrity, and building trust Strong understanding of Agile principles and best practices You've dealt with ambiguity and can make quality decisions in a dynamic, fast-paced environment Additional Requirements: Fully Remote:
This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee's residence. 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.
Languages
- English
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