Sr. Data Engineer

NBCUniversal; Englewood Cliffs (NJ); Remote; USD 115,000 - 145,000; Full time

Job summary

A leading media and entertainment company seeks a Senior Data Engineer to build the next generation of data pipelines and applications. This fully remote role involves collaborating with various teams to deliver actionable insights and optimize data processes. Ideal candidates will have extensive experience in data engineering and a strong background in cloud technologies.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

401(k)

Paid Leave

Tuition Reimbursement

Qualifications

• 5+ years of experience in data engineering or related role.
• Direct experience designing and building data modeling and ETL/ELT development.
• Strong understanding of cloud data engineering design patterns.

Responsibilities

• Collaborate with business leaders to understand data needs.
• Design, build, and scale data pipelines across various source systems.
• Identify and implement internal process improvements.

Skills

Python

SQL

Data Management

Data Storage Principles

Cloud Data Engineering

Education

Bachelor's degree in Computer Science

Bachelor's degree in Data Science

Bachelor's degree in Statistics

Bachelor's degree in Mathematics

Tools

Airflow

Google Cloud Platform

Big Query

DBT

Apache Iceberg

Job description

Company Description

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 ('SpinCo') 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

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. Working across one or more of our main subject areas – research, marketing, and engineering frameworks – the Senior 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:

• 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
• Participate and lead 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

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 to data engineering solutions.
• Strong understanding of cloud data engineering design patterns and use cases
• Experience with Google Cloud Platform (GCP), such as Big Query, Composer, VertexAI, GCS, and other GCP resources
• Bachelor's degree in Computer Science, Data Science, Statistics, Informatics, Information Systems, Mathematics, Computer Engineering, or quantitative field.

Desired Characteristics:

• Knowledge of Medallion Architecture
• Experience using DBT
• Experience using Apache Iceberg to manage datasets

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: $115,000 - $145,000

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, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing [e-mail].

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.