Sr. Data Engineer

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. We strive to foster a diverse and inclusive culture where our employees feel supported, embraced and heard. We believe that our workforce should represent the communities we live in, so that together, we can continue to create and deliver content that reflects the current and ever-changing face of the world. Click here to learn more about Comcast NBCUniversal’s commitment and how we are making an impact.

Job Description

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 to support our generative AI initiatives. Working across one or more of our main subject areas – research, marketing, engineering frameworks – the Sr 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:

• 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.
• 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.
• Strong 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)
• 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 engineering teams to deliver work products to production effectively.
• Collaborate with business leaders, engineers, and product managers to understand data needs.
• Create documentation for developers and business users to help them understand our products.
• Implement the appropriate design patterns while optimizing performance, cost, security, and scale and end user experience
• 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

Qualifications

Basic Requirements:

• 5+ years of experience in a data engineering or related role
• Direct experience designing and building data modeling, ETL/ELT development principles, or data warehousing concepts
• Strong knowledge of data management fundamentals and data storage principles
• Deep experience in building data pipelines using Python/SQL 
• Deep experience in Airflow or similar orchestration engines
• Deep experience in applying CI/CD principles and processes