<div> <div> <div> <div> <div> The Role: Fanatics ONE is Fanatics loyalty program that rewards sports and entertainment fans for their engagement across the Fanatics ecosystem. Members earn FanCash and unlock exclusive apparel, iconic experiences and personalized rewards that come with it.  As a Senior Data engineer working with the Loyalty team, you will play a critical role in designing and scaling the data platform that powers the largest and most rewarding loyalty program in the industry.   What You’ll Do: <ul> <li>Design, build, and optimize scalable, production-grade data pipelines.</li> <li>Develop and maintain ETL/ELT frameworks for ingestion, transformation, and delivery of data to Snowflake and downstream systems.</li> <li>Partner with analytics, product, and data science teams to operationalize data models supporting loyalty initiatives.</li> <li>Contribute to the architecture and evolution of Fanatics’ central data platform, ensuring scalability and maintainability.</li> <li>Collaborate cross-functionally to define and implement data-centric processes and best practices.</li> <li>Provide technical mentorship and contribute to the hiring, training, and growth of other engineers.</li> <li>Champion engineering excellence through clean, efficient, and well-documented code.</li> <li>Deliver and maintain data and service integrations between teams and third-party platforms.</li> <li>Be open to occasional travel to Fanatics offices and events for collaboration and team-building.</li> </ul>   What We’re Looking For:  <ul> <li>5+ years of experience as a data engineer or in a similar role</li> <li>Expertise in Spark and AWS EMR or similar tech for large-scale data processing.</li> <li>Strong proficiency in Python or Scala and SQL for data transformation and automation.</li> <li>Experience in large-scale cloud databases, data transformation, and performance optimization.</li> <li>Experience with data orchestration tools (e.g., Airflow, dbt, Dagster, or similar).</li> <li>Solid understanding of data modeling, ETL best practices, and data warehousing (Snowflake preferred).</li> <li>Proven ability to work in a continuous delivery environment, writing clean, testable, and maintainable code.</li> <li>Excellent communication and collaboration skills with both technical and non-technical stakeholders.</li> <li>Bias for action, ownership, and delivering high-impact solutions.</li> </ul> </div> </div> </div> <div>   </div> <div> The salary range for this position is $134,000 to $193,000, which represents base pay only and does not include short-term or long-term incentive compensation. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training.   </div> </div> </div>

Fanatics

Senior Data Engineer

Fanatics

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