Senior Data Engineer

Summary

Join NBCUniversal's global Operations & Technology organization as a Senior Data Engineer and contribute to the development of next-generation data pipelines and applications for generative AI initiatives. You will design, build, and scale data pipelines, collaborate with cross-functional teams, and become a subject matter expert in data engineering technologies. This role requires strong coding skills in Python/SQL, experience with data warehousing and cloud-native principles, and a deep understanding of machine learning best practices. The position offers a fully remote work option and a competitive salary range of $115,000 - $145,000, along with comprehensive company-sponsored benefits.

Requirements

• 5+ years of experience in a data engineering or related role
• Direct experience designing and building data modeling, ETL/ELT development principles, or data warehousing concepts
• Strong knowledge of data management fundamentals and data storage principles
• Deep experience in building data pipelines using Python/SQL
• Deep experience in Airflow or similar orchestration engines
• Deep experience in applying CI/CD principles and processes to data engineering solutions
• Strong understanding of cloud data engineering design patterns and use cases
• Bachelor's degree in Computer Science, Data Science, Statistics, Informatics, Information Systems, Mathematics, Computer Engineering, or quantitative field

Responsibilities

• 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
• 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
• Collaborate with business leaders, engineers, and product managers to understand data needs
• Create documentation for developers and business users to help them understand our products
• Implement the 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, transform, and load data from a wide variety of data sources using cloud-native data engineering principles

Preferred Qualifications

• Solid understanding of data modeling, warehousing, and architecture principles
• Strong 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)

Benefits

• Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence
• This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks
• Salary range: $115,000 - $145,000