Sr Data Engineer
NBCUniversal
Full-time
On-site
Englewood Cliffs NEW JERSEY United States
Sports
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 global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.
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.
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, 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 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
Solid understanding of data modeling, warehousing, and architecture 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 to effectively deliver work products to production
Qualifications
5+ years of experience in a data engineering or related role
Direct experience with data modeling, ETL/ELT development principles, or data warehousing concepts
Knowledge of data management fundamentals and data storage principles
Experience with cloud-based data warehouse platforms (AWS RedShift, GCP Big Query, Snowflake or equivalent
Experience in building data pipelines using Python/SQL
Demonstratable experience in Airflow or similar orchestration engines
Experience in applying CI/CD principles and processes to data engineering solutions.
General understanding of cloud data engineering design patterns and use cases
Bachelor’s degree in computer science, Data Science, Statistics, Informatics, Information Systems, Mathematics, Computer Engineering, or quantitative field.
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 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 [email protected].
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 global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.
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.
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, 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 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
Solid understanding of data modeling, warehousing, and architecture 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 to effectively deliver work products to production
Qualifications
5+ years of experience in a data engineering or related role
Direct experience with data modeling, ETL/ELT development principles, or data warehousing concepts
Knowledge of data management fundamentals and data storage principles
Experience with cloud-based data warehouse platforms (AWS RedShift, GCP Big Query, Snowflake or equivalent
Experience in building data pipelines using Python/SQL
Demonstratable experience in Airflow or similar orchestration engines
Experience in applying CI/CD principles and processes to data engineering solutions.
General understanding of cloud data engineering design patterns and use cases
Bachelor’s degree in computer science, Data Science, Statistics, Informatics, Information Systems, Mathematics, Computer Engineering, or quantitative field.
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 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 [email protected].