Senior Staff Data Engineer

About This Role

Design, develop, and scale advanced data pipelines and applications leveraging emerging technologies like generative AI and LLMs to enhance analytics capabilities for NBCUniversal. This role requires a subject matter expert in data integration, machine learning services, and cloud-native data engineering to support next-generation data-driven solutions.

Responsibilities

• Design, develop, and maintain scalable data pipelines across multiple source systems, including internal, third-party, and cloud-based data streams
• Implement best practices for data modeling, warehousing, and architecture to support analytics and AI initiatives
• Collaborate with cross-functional teams to gather requirements and develop efficient data acquisition and transformation strategies
• Build and support APIs, machine learning services, and frameworks that facilitate LLM deployment and analytics
• Evaluate and integrate emerging data technologies and patterns, ensuring optimal performance, security, and cost management
• Act as a subject matter expert in data engineering tools and techniques, mentoring junior team members
• Participate actively in development sprints, demos, and deployment cycles, ensuring high-quality deliverables
• Work closely with data scientists, business analysts, and infrastructure teams to connect data workflows with business needs
• Develop automated testing procedures and comprehensive documentation for data pipelines and systems
• Deploy solutions on cloud platforms, troubleshoot issues, and optimize system performance

Requirements

• 10+ years of professional experience in data engineering
• Proficiency in designing and building scalable data pipelines and integration frameworks
• Strong understanding of machine learning best practices, algorithms, and LLM integration
• Experience with data modeling, warehousing, and architecture principles
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP
• Proficiency in programming languages including Python and SQL
• Deep knowledge of REST APIs, vectorized embeddings, and Retrieval Augmented Generation (RAG) workloads
• Experience with cloud data engineering design patterns and use cases
• Bachelor’s degree in Computer Science, Data Science, Statistics, Informatics, or related field

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, Informatics, or related field
• 10+ years of professional experience in data engineering, with demonstrated leadership of engineering teams

Nice to Have

• Experience with data management fundamentals and big data technologies such as Spark, Hive, or Snowflake
• Familiarity with AI/ML frameworks, langchain, and generative AI ecosystems

Skills

* Required skills

Benefits