
10,000+ employees
Founded 2004
📱 Media
Media • Entertainment
NBCUniversal is a leading global media and entertainment company known for creating and distributing content across a variety of platforms. With over 100 years of experience, it is a part of Comcast and encompasses brands like Peacock, NBC Sports, and many others to educate, entertain, and empower audiences around the world. The company is involved in television broadcasting, film production, and theme parks, and is also recognized for its initiatives in technology and corporate social responsibility. NBCUniversal is committed to innovation and social impact, making it a vibrant workplace for media and tech professionals.
🔥 5 minutes ago
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10,000+ employees
Founded 2004
📱 Media
Media • Entertainment
NBCUniversal is a leading global media and entertainment company known for creating and distributing content across a variety of platforms. With over 100 years of experience, it is a part of Comcast and encompasses brands like Peacock, NBC Sports, and many others to educate, entertain, and empower audiences around the world. The company is involved in television broadcasting, film production, and theme parks, and is also recognized for its initiatives in technology and corporate social responsibility. NBCUniversal is committed to innovation and social impact, making it a vibrant workplace for media and tech professionals.
• Lead the design, development, and scaling of complex data pipelines and platforms • Partner with business leaders and engineering teams to translate requirements into production-ready data solutions • Own end-to-end data solutions including modeling, performance, reliability, and cost optimization • Apply cloud-native design patterns to ensure scalability, security, and maintainability • Implement CI/CD, testing, monitoring, and data quality best practices • Provide technical mentorship to junior team members by leading design reviews and conducting code reviews
• 5+ years of experience in data engineering • foundational understanding of data modeling, ETL/ELT principles, and data warehousing • experience with data management fundamentals, data storage principles, and cloud-based data warehouses • proficiency in building data pipelines using Python/SQL • experience with workflow orchestration tools like Airflow • experience in applying CI/CD principles and processes to data engineering solutions • a bachelor’s degree in computer science or a related quantitative discipline is preferred
• medical, dental and vision insurance • 401(k) • paid leave • tuition reimbursement • a variety of other discounts and perks
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