Data Engineer

• Design, build, and scale data pipelines across a variety of source systems and streams (internal, third-party, and cloud-based), distributed/elastic environments, and downstream applications and self-service solutions
• Deep understanding of Machine Learning best practices (e.g., training/serving, feature engineering, feature/model selection, imbalance data, RAG patterns) and algorithms (e.g., deep learnings, optimization)
• Solid understanding of data modeling, warehousing, and architecture principles
• Implement appropriate design patterns while optimizing performance, cost, security, and scale and end-user experience
• Collaborate with cross-functional teams to understand data requirements and develop efficient data acquisition and integration strategies
• Interface with other technology teams to extract, load, and transform data from a wide variety of data sources using cloud-native data engineering principles
• Become a subject matter expert for data engineering-related technologies and designs
• Coach and guide others within the organization to build scalable pipelines based on foundational data engineering principles
• Participate in development sprints, demos, and retrospectives alongside releases and deployment
• Build and manage relationships with supporting engineering teams to deliver work products to production effectively
• Develop automated tests for your code, ensuring every function, service, and object is compatible with your team's work and with the many systems within the NBCUniversal system portfolio and cross-device and browser compatibility
• Create documentation for developers and business users to help them understand our products
• Work collaboratively with a multidisciplinary team within a matrixed organization, leveraging strong interpersonal skills to navigate system complexities and deploy solutions efficiently
• Deploy to cloud-based platforms and troubleshoot application, cloud, and configuration issues when necessary
• Utilize tools for code & test generation to dramatically accelerate the delivery of features and components you create

Staff Data Engineer

Senior Staff Data Engineer

Data Engineer

Principal Data Engineer – ML Platforms

Senior Data Architect