Data Engineer, Business Data Operations

Aeg - East Rutherford, NJ

Full-time - Mid Level

East Rutherford, NJ

Professional, Scientific, and Technical Services

About the position

The Data Engineer / Manager, Business Data Operations at the New York Giants is responsible for developing and maintaining the business intelligence infrastructure of the organization. This role focuses on the acquisition, storage, transformation, extraction, and utilization of data through various technologies, ensuring data quality and accessibility for informed decision-making.

Responsibilities

• Maintain the Giants' existing data warehouse ecosystem and related connected databases.
• Manipulate and mine data from database tables using advanced tools and techniques.
• Build and maintain data sources, custom views, and related ETL/ELT processes across business operations.
• Build out new API integrations to add new sources or upgrade existing feeds into the data ecosystem.
• Implement processes to monitor data quality, validation, automation, and overall process improvement.
• Explore and create new data models, software, and algorithms for improved data visualization and delivery.
• Apply analytical techniques to extract actionable insights from large-scale data.
• Collaborate with analysts and business teams to enhance business intelligence tools and foster data-driven solutions.
• Assist with other analytical and technical duties as assigned.

Requirements

• Bachelor's degree in computer science, data engineering, statistics, business analytics, or a related field.
• Strong SQL programming skills with an understanding of database design and data collection methodology.
• Experience with AWS platforms and technologies (Redshift, S3, etc.).
• Experience connecting and retrieving data from multiple platforms using APIs and programming languages (Python, C#, etc.).
• Experience in building and maintaining ETL/ELT processes, including use of SSIS.
• Ability to comprehend and debug complex system integrations.

Nice-to-haves

• Experience with Tableau or similar data visualization tool preferred.