Data Engineer

Company Description

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.

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. Our Diversity, Equity and Inclusion initiatives, coupled with our Corporate Social Responsibility work, is informed by our employees, audiences, park guests and the communities in which we live. We strive to foster a diverse, equitable and inclusive culture where our employees feel supported, embraced and heard. Together, we’ll continue to create and deliver content that reflects the current and ever-changing face of the world.

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 are seeking a Data Engineer who is eager to contribute to building the next generation of data pipelines and applications to support our generative AI initiatives. This role is a perfect match for those who are early in their data engineering career, a strong interest in leveraging generative AI technologies and have a "hands-on" approach to coding, building, and cleansing datasets to derive actionable insights.

Responsibilities:

• Engage with business leaders, engineers, and product managers to define and meet data requirements.
• Work closely with technology teams to execute ETL/ELT processes, leveraging cloud-native principles to manage data from diverse sources.
• Participate in the design, construction, and scaling of data pipelines, integrating data from various sources, including internal systems, third-party platforms, and cloud environments.
• Support internal process optimizations by automating workflows, enhancing data delivery, and redesigning infrastructure to boost scalability.
• Apply appropriate design patterns to ensure performance, cost-efficiency, security, scalability, and a positive end-user experience.
• Be actively involved in development sprints, demonstrations, and retrospectives, contributing to the deployment and release processes.
• Cultivate relationships with IT support teams to ensure the smooth deployment of work products.

Qualifications

• 3+ years of experience in data engineering, demonstrating a foundational understanding of data modeling, ETL/ELT principles, and data warehousing.
• Experience with data management fundamentals, data storage principles, and cloud-based data warehouses such as cloud Storage (AWS S3, GCP Cloud Storage, Azure Blob Storage), GCP BigQuery, Snowflake, or similar platforms.
• Proficiency in building data pipelines using Python/SQL.
• Demonstrate experience with workflow orchestration tools like Airflow, or a willingness to learn.
• Experience in applying CI/CD principles and processes to data engineering solutions.
• General understanding of cloud data engineering design patterns and use cases

Desired Characteristics:

• A Bachelor’s degree in Computer Science, Data Science, Statistics, Informatics, Information Systems, Mathematics, Computer Engineering, or a related quantitative discipline is preferred.
• Effective communication skills, capable of working collaboratively across diverse teams and navigating a large, matrixed organization efficiently.
• 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

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. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $100,000 - $135,000

We are accepting applications for this position on an ongoing basis.

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.

For LA County and City Residents Only:  NBCUniversal will consider for employment
qualified applicants with criminal histories, or arrest or conviction records, in a manner
consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance
Initiative For Hiring Ordinance, the Los Angeles' County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.