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

The Data & Analytics team (D&A) at NBCUniversal is 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 – Corporate core, research, marketing, engineering frameworks – the Sr. Data Engineer role is right for you if you’re a “hands-on” coder with experience driving and owning a full data engineering pipeline. As part of the global Operations & Technology organization, the D&A 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. In the Sr. Data Engineer role, you’ll be working with internal stakeholders, data engineers, visualization experts, data scientists, and other technologists across the business. You will be owning full segments of a data engineering project, managing expectations, and driving delivery with the appropriate stakeholders while maintaining the overall consensus for engineering architecture. 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!

• 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
• Maintain ownership of a given pipeline or domain and raise flags to senior leadership when appropriate regarding architectural concerns
• Provide mentorship to junior members of the engineering team to align to overall practice standards and approach
• Participate 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

Qualifications

• 5+ years of experience in a data engineering role
• Direct experience with data modeling, ETL/ELT development principles, and data warehousing concepts
• Knowledge of data management fundamentals and data storage principles
• Experience in building data pipelines using Python/SQL or similar programming languages
• Experience owning and managing a full pipeline within a large project, including interfacing with business stakeholders, architects and senior leadership to effectively communicate status and concerns
• Demonstratable experience in Airflow, Luigi or similar orchestration engines
• 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:

• Analytical – You have experience in delivering data analytics solutions that promote data discovery
• Experience with Snowflake, Amazon Web Services, or related cloud platforms a plus
• Understanding of big data techno