Full-Time Sr. Data Engineer

As part of the global Operations & Technology organization, the D&A team is focused on data and analytics strategies for the future. We support NBCU’s vast portfolio of brands. We take pride in supplying our business groups with data to advise and shape strategic business decisions related to our content.

We're looking for a passionate problem solver who’s looking to build the next generation of data pipelines and applications.

Working across research, marketing, and engineering frameworks, this Senior Data Engineer role is for a "hands-on" coder who can build and cleanse large datasets in order to report out actionable insights. In addition, you’ll be working with internal stakeholders, data engineers, visualization experts, data scientists, and other technologists.

If you love to take large, disparate data sets and build them into flexible and scalable analytics applications and databases, you've come to the right place. Here you can create the extraordinary. Join us!

Responsibilities:

• 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
• Design, build, and scale data pipelines across a variety of source systems and streams (internal, third-party, cloud-based), distributed/elastic environments, and downstream applications.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Implement the appropriate design patterns while optimizing performance, cost, security, and scale and end user experience.
• Participate and lead in development sprints, demos, and retrospectives, as well as release and deployment.
• Build and manage relationships with supporting IT teams in order to effectively deliver work products to production.

Basic 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
• Experience with Google Cloud Platform (GCP), such as Big Query, Composer, VertexAI, GCS, and other GCP resources
• Bachelor's degree in Computer Science, Data Science, Statistics, Informatics, Information Systems, Mathematics, Computer Engineering, or quantitative field.

Desired Characteristics:

• Knowledge of Medallion Architecture
• Experience using DBT
• Experience using Apache Iceberg to manage datasets

Additional Requirements:

• Fully Remote
• Eligible for company-sponsored benefits

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