The Tennessee Titans are seeking a Data Engineer - Football in Nashville to build the data infrastructure that supports football solutions.

Design, build, and optimize scalable ETL pipelines and data models for a data warehouse with focus on performance, cost-efficiency, and adaptability
Own the import process for third-party football data, including cleaning, transforming, reconciling inconsistencies and errors, and merging into the existing data model
Manage Docker-based deployments for data services to support repeatable, reliable delivery across development and production
Oversee end-to-end project delivery for data engineering initiatives, ensuring timely, high-quality outcomes for internal stakeholders
Explore practical ways to use AI to support data model design, pipeline management, and detection or handling of data anomalies

3+ years of hands-on data engineering experience in a professional setting
Expertise in SQL and Python, including building production-grade ETL pipelines
Hands-on experience with Snowflake and dbt, or a comparable cloud data warehouse and transformation framework
Strong foundation in 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 with Docker in production environments
Proficient with Git, including branching, pull requests, and code review workflows

Data Stewardship: Owns data quality end-to-end and resolves inconsistencies before they reach stakeholders
Technical Rigor: Builds scalable, reliable pipelines with attention to performance and cost
Ownership: Drives data engineering work from design through delivery with minimal oversight

Data Engineer - Football

Job Description