Sr. Staff Data Engineer

NBCUniversal; Englewood Cliffs (NJ); Remote; USD 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a passionate Sr Staff Data Engineer to join their innovative Data & Analytics team. This role offers the opportunity to design and develop cutting-edge data solutions while collaborating with various stakeholders across a diverse portfolio of brands. You will lead the creation of data models, optimize performance, and transform complex datasets into actionable insights. This fully remote position allows you to leverage your extensive experience in data engineering and analytics to shape strategic business decisions in a dynamic environment. Join us to create extraordinary data solutions!

Qualifications

• 12+ years of experience in data engineering and analytics product development.
• Proven success in business-facing analytical roles.
• Strong storytelling ability with large datasets.

Responsibilities

• Lead the design and building of data models from multiple sources.
• Collaborate with business leaders to understand data needs.
• Transform complex data into digestible insights for users.

Skills

SQL

Data Modeling

ETL/ELT

Cloud Development

Data Visualization (Power BI, Tableau)

Data Engineering

Python

Data Warehousing

Tools

Airflow

Snowflake

Redshift

DBT

AtScale

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 Data & Analytics 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 providing NBCUniversal with data to advise and shape strategic business decisions.

The Data & Analytics team is looking for a passionate Sr Staff Data Engineer who’s eager to build the next generation of data solutions while collaborating with internal stakeholders, other data engineers, data scientists, and technologists across our main subject areas. The role is ideal if you’re a subject matter expert in designing and developing data models and can balance business acumen with deep technical expertise. Join us to create the extraordinary!

Responsibilities

• Lead the process of building and designing data models from multiple sources, manipulating data, flat files, and raw information into cohesive data sets for stakeholders to easily use and derive insights.
• Implement design patterns optimizing performance, cost, security, scale, and user experience.
• Collaborate with business leaders, engineers, and product managers to understand data needs.
• Interface with technology teams to extract, load, and transform data using cloud-native data engineering principles.
• Become a subject matter expert in data engineering technologies and designs.
• Coach and guide others within the Data & Analytics organization to build scalable pipelines and semantic data models based on foundational principles.
• Participate in development sprints, demos, retrospectives, releases, and deployments.
• Build and manage relationships with IT teams to deliver work products to production effectively.
• Transform large, complex data into digestible insights for technical/non-technical users, optimizing user experience and branding standards.
• Act as an expert in data modeling methodologies and approaches.
• Stay updated with latest data standards, systems, and tools.

Qualifications

• 12+ years of experience in data engineering, warehousing, data modeling, and analytics product development.
• 10+ years in SQL, data modeling, ETL/ELT, cloud development, and data warehousing.
• 8+ years in business-facing analytical roles with proven success.
• 8+ years with data visualization tools (Power BI, Tableau, MicroStrategy, etc.).
• 8+ years working with data modeling and semantic/virtualization tools (DBT, AtScale, etc.).
• Knowledge of cloud platforms such as AWS, GCP, Azure.
• Experience in building data pipelines using Python/SQL or similar languages.
• Experience with orchestration engines like Airflow, Luigi, etc.

Desired Characteristics

• Strong storytelling with large datasets.
• Experience with SQL, data warehouses like Snowflake, Redshift.
• Exposure to federated query engines (Trino/Starburst).
• Familiarity with cloud storage solutions (AWS S3, GCS, Azure Data Lake).
• Media industry knowledge including broadcast, digital, and mobile.
• Excellent communication skills for technical and non-technical audiences.
• Proactive problem solver with a positive attitude, integrity, and trustworthiness.
• Understanding of Agile principles and practices.

Additional Requirements

• This role is fully remote, working from a non-NBCUniversal location.