Full-Time Sr Staff Data Engineer

Data & Analytics Team supports NBCU’s brands in data and analytics strategies. The Data & Analytics team seeks a passionate Sr Staff Data Engineer to build the next generation of data solutions. This role involves working with stakeholders, data engineers, data scientists, and technologists.

Responsibilities:

• Lead the process of building and designing data models using data from multiple sources.
• Implement design patterns while optimizing performance, cost, security, and user experience.
• Collaborate with business leaders, engineers, and product managers.
• Interface with technology teams to extract, load, and transform data.
• Become a subject matter expert in data engineering technologies.
• Coach and guide others on building scalable pipelines and semantic models.
• Participate in development sprints, demos, retrospectives, and releases.
• Build and manage relationships with IT teams.
• Transform complex data into actionable insights for technical and non-technical end users.
• Act as a subject matter expert in data modeling.
• Stay current with data standards, systems, and future tools.

Requirements:

• 12+ years of progressive experience in data engineering.
• 10+ years of experience with SQL and data modeling.
• 8+ years of experience in business-facing analytical roles.
• 8+ years of experience with data visualization tools (Power BI, Tableau, etc.).
• 8+ years of experience with data modeling and virtualization tools (DBT, AtScale, etc.).
• Knowledge of cloud technologies (AWS, GCP, Azure).
• Experience building data pipelines using Python/SQL.
• Experience with orchestration engines (Airflow, Luigi, etc.).

Desired Characteristics:

• Strong SQL, DB, and ELT tool skills (Snowflake, Redshift).
• Experience with federated query engines (Trino / Starburst).
• Familiarity with cloud solutions and cloud storage (AWS S3, GCS, etc.).
• Strong media knowledge (broadcast TV, digital, mobile).
• Excellent communication skills (verbal and written).
• Action-oriented approach, with strong results, positive attitude, ethical behavior, and building trust.
• Strong understanding of Agile principles and best practices.

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