Full-Time Sr. Staff Data Engineer

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. 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 looking to build the next generation of data solutions while working with internal stakeholders, other data engineers, data scientists, and other technologists.

Responsibilities:

• Lead the process of building and designing data models derived from multiple sources (e.g., manipulating data, flat files, raw information) into cohesive data sets for stakeholders.
• Implement appropriate design patterns while optimizing performance, cost, security, and scale and end user experience.
• Collaborate with business leaders, engineers, and product managers to understand data needs.
• Interface with other technology teams to extract, load, and transform data from various data sources using cloud-native principles.
• Become a subject matter expert for data engineering technologies and designs.
• Coach and guide others to build scalable pipelines and semantic data models.
• Participate in development sprints, demos, retrospectives, releases, and deployments.
• Build and manage relationships with supporting IT teams.
• Transform large volumes of complex data into digestible insights to enable technical/non-technical users make data-driven decisions.
• Act as a subject matter expert in data modeling methodologies.
• Stay updated with latest data standards, systems and future tools/languages.

Experience Requirements:

• 12+ years of progressive experience in data engineering, warehousing, data modeling and development.
• 10+ years of experience with SQL, data modeling, ETL/ELT, cloud development, and data warehousing.
• 8+ years in a business-facing analytical role and related success.
• 8+ years with data visualization tools (e.g., Power BI, Tableau).
• 8+ years with data modeling and virtualization tools.
• Knowledge of cloud technologies (AWS, GCP, Azure).
• Experience building data pipelines using Python/SQL.
• Experience with orchestration engines (Airflow, Luigi).

Desired Characteristics:

• Strong experience in SQL, DB and ELT tools.
• Experience or exposure to federated query engines.
• Familiarity with cloud solutions and cloud storage.
• Media knowledge.
• Excellent verbal and written communication skills.
• Action-oriented, positive attitude, ethical behavior, and ability to build trust.
• Strong understanding of Agile principles.

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