Data Engineer - Football

Tennessee Titans • Nashville, TN

28d • Onsite

About The Position

The Football Information Systems team at the Tennessee Titans creates and maintains the software behind our football organization, including the Scouting, Coaching, Analytics, Medical, and Sports Performance teams. We engineer solutions that increase efficiency, facilitate decision making, and drive football success. We're looking to add a Data Engineer to own the data infrastructure behind our football solutions. In this role, you’ll help us turn raw third-party data into a clean, reliable data platform our football staff can trust. Working in a modern data stack, you'll build and maintain our data pipelines and models, supporting the analytics and applications that depend on them.

Requirements

• 3+ years of hands-on data engineering experience in a professional setting
• Expert in SQL and Python, with experience building production-grade ETL pipelines
• Hands-on experience with Snowflake and DBT, or a comparable cloud data warehouse and transformation framework
• Deep understanding of data warehousing concepts and best practices
• Experience with cloud platforms (Azure, AWS or GCP)
• Experience with CI/CD best practices, infrastructure-as-code, and automated testing frameworks
• Experience deploying and managing containerized applications using Docker in production environments
• Proficient with Git for version control, including branching, pull requests, and code review workflows

Nice To Haves

• Familiarity or prior experience working with football / sports data is preferred

Responsibilities

• Design, build, and optimize scalable ETL pipelines and data models for a data warehouse, ensuring performance, cost-efficiency, and adaptability to evolving needs.
• Own the import of third-party football data into our platform. This includes cleaning and transforming the data, reconciling inconsistencies and errors, and merging it into our existing data model.
• Manage Docker-based deployments of data services, ensuring repeatable and reliable delivery across development and production environments.
• Oversee end-to-end delivery of data engineering projects, ensuring timely and high-quality delivery to internal stakeholders.
• Explore ways to use AI to help the team design data models, manage data pipelines, and address data anomalies

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed