Data Engineer - Football

Tennessee Titans Llp; Nashville (TN); On-site; USD 90,000 - 140,000; Full time

Job summary

Tennessee Titans in Nashville, TN seeks a Data Engineer - Football to design scalable ETL pipelines, build data models, and maintain a robust data platform feeding internal analytics.

You'll work with Snowflake, DBT, Python, SQL, Azure/AWS/GCP, and Docker, delivering end-to-end data solutions for football data with a focus on performance, reliability, and AI-assisted data design.

Qualifications

• 3+ years hands-on data engineering experience.
• Strong SQL and Python for production-grade ETL pipelines.
• Experience with Snowflake and DBT or equivalent cloud stack.

Responsibilities

• Design, build, and optimize scalable ETL pipelines and data models for a data warehouse.
• Own importing third-party football data, including cleaning and reconciliation.
• Manage Docker-based deployments of data services across environments.
• Oversee end-to-end data engineering projects for internal stakeholders.
• Explore AI-enabled approaches to data modeling and anomaly detection.

Skills

3+ years data engineering

SQL

Python

ETL pipelines

Tools

Snowflake

DBT

Azure

AWS

GCP

Docker

Git

Job description

The Tennessee Titans are looking for a Data Engineer - Football to help power football solutions with dependable data infrastructure. In this role, you will turn third-party football data into a clean, reliable platform by building data pipelines and models across a modern data stack, ensuring the data internal teams rely on is accurate, performant, and ready for change.

What you’ll do

• Design, build, and optimize scalable ETL pipelines and data models for a data warehouse, balancing performance, cost-efficiency, and flexibility as needs evolve.
• Own the process of importing third-party football data into the platform, including cleaning, transforming, reconciling inconsistencies and errors, and merging into the existing data model.
• Manage Docker-based deployments of data services to ensure repeatable and reliable delivery across development and production environments.
• Oversee end-to-end delivery of data engineering projects, supporting timely and high-quality outcomes for internal stakeholders.
• Explore practical uses of AI to support data model design, pipeline management, and identifying or addressing data anomalies.

What you bring

• 3+ years of hands‑on data engineering experience in a professional setting.
• Expertise in SQL and Python, including 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.
• Proficiency deploying and managing containerized applications using Docker in production environments.
• Strong Git skills, including branching, pull requests, and code review workflows.

Core strengths

• Data Stewardship: Own data quality end-to-end by catching and resolving inconsistencies before they reach stakeholders.
• Technical Rigor: Build scalable, reliable pipelines with an emphasis on performance and cost.
• Ownership: Drive work from design through delivery with minimal oversight.

Helpful background

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

Location and working conditions

• Location: Nashville, TN (onsite)
• Work environment: Office / Field
• Physical requirements: Ability to sit for extended periods of time; lift up to 25 lbs.

Technologies you’ll work with: SQL, Python, Snowflake, DBT, Azure, AWS, GCP, CI/CD, infrastructure-as-code, Docker, Git, AI.