Lead Data Engineer at NBCUniversal

Universal City, California, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Jun, 26

Salary

185000.0

Posted On

26 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Pipelines, Orchestration, Data Modeling, Lakehouse, SQL, Python, pySpark, Airflow, AWS S3, AWS EC2, AWS EMR, Kinesis Firehose, Snowflake, Databricks, Spark

Industry

Entertainment Providers

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 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 NBCUniversal Media, LLC seeks Lead Data Engineer in Universal City, CA Build out data engineering pipelines and optimizations of a cloud-based Data Lake, Data Warehouse, and File System. Help coordinate with Advanced Analytics team, work with other onsite/offshore Data Engineers and own deliverables. Identify pipeline bottlenecks as well as opportunities for optimizations and create implementation plans. Work in an onsite and offshore team model to build out ETLs to support Business Intelligence initiatives, including real-time processing, distributed computing, and containerized solutions. Help in Data QA and ensure required auditing and alerts are implemented for every data engineering pipeline. Create, define, and document processes and help in data governance and estimation initiatives within the organization. Hybrid work schedule (minimum 3 days in office). Qualifications Bachelor’s degree in Data Science, Data Engineering, Mathematics, Statistics, Information Systems, or a related quantitative field (or foreign degree equivalent), plus 10 years of experience in the job offered, as a Data Engineer, or in a related occupation. The position requires the following skill, which must have been gained through ten (10) years of experience: Applied experience in Data Engineering, including but not limited to building Data Pipelines, Orchestration, Data Modeling, and Lakehouse. The position requires each of the following skills, which must have been gained through seven (7) years of experience: Processing large direct to consumer datasets and building code using SQL, Python, pySpark, and Airflow. Working on AWS cloud services like S3, EC2, EMR, Kinesis Firehose and Secrets. Working on cloud distributed data platforms like Snowflake, Datawarehouse, and Databricks. Experience implementing data pipelines using distributed processing frameworks such as Spark or Hadoop using Databricks or similar tools. The position requires each of the following skills, which must have been gained through five (5) years of experience: Experience in various data modeling techniques and implementing custom models in accordance with business reporting needs. Experience building data pipelines with data sourced from APIs, real-time feeds, structured and semi-structured file formats. Implementing CI/CD pipelines for Data Engineering with GIT and/or similar repo tools. Experience building and optimizing pipelines on Data bricks or similar platforms. Experience with linear and/or digital viewership measurement\ The position requires the following skill, which must have been gained through three (3) years of experience: Integrating 1st, 2nd, and 3rd party data and using data clean rooms technology and policies. 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: $183,851 - $185,000 per year Full-time: 40 hours/week 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. 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. 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]. Business Segment: Media Group Functions

Responsibilities

The Lead Data Engineer will be responsible for building and optimizing data engineering pipelines for a cloud-based Data Lake, Data Warehouse, and File System, coordinating efforts with the Advanced Analytics team. This role involves building ETLs to support Business Intelligence initiatives using real-time processing and distributed computing, while also ensuring data quality and implementing governance processes.