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Job Description

The Tennessee Titans are seeking a Data Engineer - Football in Nashville, TN to build and maintain the data infrastructure powering football solutions.

Responsibilities

  • Design, build, and optimize scalable ETL pipelines and data models for a data warehouse, with focus on performance, cost-efficiency, and change-readiness
  • 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 of data services to support repeatable, reliable delivery across development and production environments
  • Oversee end-to-end delivery of data engineering projects, ensuring timely, high-quality results for internal stakeholders
  • Identify opportunities to use AI to support data model design, pipeline management, and detection or handling of data anomalies

Requirements

  • 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 with Docker in production environments
  • Proficiency with Git for version control, including branching, pull requests, and code review workflows

Core Competencies

  • Data Stewardship: owns data quality end-to-end, catching and resolving inconsistencies before stakeholder delivery
  • Technical Rigor: builds scalable, reliable pipelines with attention to performance and cost
  • Ownership: drives projects from design through delivery with minimal oversight

Technologies

  • SQL, Python, Snowflake, DBT
  • Azure, AWS, GCP
  • CI/CD, infrastructure-as-code, Docker, Git
  • AI

Preferred Qualifications

  • Familiarity or prior experience working with football or sports data

Working Conditions

  • Work Environment: Office / Field
  • Physical Requirements: Ability to sit for extended periods; lift up to 25 lbs

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