NBCUniversal

Sr. Data Engineer

NBCUniversal New York, New York, United States · $115K–$145K/yr

Entertainment Providers · 10,001+ employees

2 d ago
data-engineer Senior (5-10 yrs) Full-time United States
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About the role

The Senior Data Engineer will design, develop, and maintain scalable data systems and pipelines to process vast amounts of information. They will collaborate with stakeholders and architects to integrate data solutions into the streaming service architecture while ensuring reliability and performance.

What they look for

Big data ETL Pipeline building SQL Snowflake Databricks GCP AWS CI/CD Test automation Data visualization Site Reliability Engineering Agile Streaming media Data modeling

Requirements

Candidates must have a bachelor's degree in a relevant field and at least 5 years of experience in big data, ETL, and pipeline development. Proficiency in SQL, cloud data platforms, and CI/CD practices is required for this role.

Benefits

Medical insurance Dental insurance Vision insurance 401(k) Paid leave Tuition reimbursement

Full 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

The Media Group at NBCU supports a powerhouse collection of consumer-first brands including Peacock, NBC, Bravo, NBC Sports, and NBCU International. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We’re always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we’re backed by a culture of respect. We embrace authenticity and inspire people to thrive.

As our Senior Data Engineer, you’ll join the Content Delivery Engineering team (CDE) within NBCUniversal’s Global Video Engineering organization in New York City, USA. The Senior Data Engineer will be responsible for implementing and maintaining systems that ingest, process, and store vast amounts of data from internal systems and external partner systems. These data systems must be scalable, robust, and within budget. In this role, Senior Data Engineer will work with a variety of technologies that support the building of meaningful models, alerts, reports, and visualizations from vast quantities of data. 

Responsibilities

  • Design, develop & maintain new and existing data systems and pipelines, with a focus on reliability, testability and ease of use.  
  • Assist in cleansing, discretization, imputation, selection, generalization etc. to create high quality features for the modeling process
  • Work with business stakeholders to define business requirements including KPI and acceptance criteria
  • Use big data, relational and non-relational data sources, to access data at the appropriate level of granularity for the needs of specific analytical projects
  • Maintain up to date knowledge of the relevant data set structures and participate in defining necessary upgrades and modifications
  • Collaborate with software and data architects in building real-time and automated batch implementations of the data science solutions and integrating them into the streaming service architecture
  • Ensure a consistent, diligent approach to peer review of code and configuration change within sensible, maintained repository structures and CI/CD pipelined deployment.
  • Participate in, or lead design reviews, architectural discussions and team knowledge‑sharing sessions with peers and stakeholders.
  • Make best use of our observability systems & advanced analytics to surface issues, drive diagnosis and develop fixes.

Qualifications

  • Bachelor's degree in computer science, information technology, or a relevant field is required.
  • 5+ years of experience in working with big data: ETL, pipeline building, analysis and code, with expertise in at least one programming language
  • Experience implementing scalable, distributed, highly available, and resilient systems using industry standard data platforms (Snowflake, Databricks, GCP, AWS, etc.)
  • Skilled with using software repositories, CI/CD pipelines and test automation.
  • Experience with data visualization tools and techniques
  • Strong skills in data processing using SQL
  • Experience with Site Reliability Engineering (SRE) practices for ensuring scalability and reliability in cloud environments.
  • Familiarity with Agile methodologies (Scrum and Kanban).  
  • A flair for communicating clearly via design document, text, voice and code to a wide variety of nationalities.
  • Knowledge and/or production exposure to using CDNs to deliver streaming media is advantageous or full training can be provided.

Desired Characteristics

  • Experience with Snowflake or similar data service
  • Experience with data visualizations
  • Experience with multi-billion record datasets and leading projects that span the disciplines of data science and data engineering
  • Knowledge of enterprise-level digital analytics platforms
  • Team oriented and collaborative approach with a demonstrated aptitude and willingness to learn new methods and tools
  • Pride and ownership in your work and confident representation of your team to other parts of NBCUniversal

Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time.

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

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].

  • Business Segment: Media Group Functions
  • Compensation: USD 115000 - USD 145000 - yearly

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