Data Engineer III

Fanatics-posted 5 months ago
$133,920 - $193,750/Yr
Full-time • Senior
New York, NY
5,001-10,000 employees
Broadcasting and Content Providers
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As a Senior Data Engineer (or Data Engineer III) in the Fan Ecosystem organization, you are here to help build out our central Data platform and critical data assets. This role reports to our Manager of Data Engineering and is responsible for defining, implementing, training, and executing against our engineering strategy, creating processes, and building tools within the Fan Ecosystem. The Senior DE will be autonomous, biased-to-action, and collaborative.

  • Develop a strong understanding of Fan Ecosystem and the various business units it supports
  • Lead initiatives to support building data-centric processes to benefit the organization and its business units
  • Build data objects and assets to support business intelligence and data science use cases
  • Set a high standard for engineering excellence through example
  • Contribute to hiring and training other engineering team members
  • Build strong relationships with internal stakeholders, inside and outside of Engineering
  • Deliver service and data integrations between different teams and 3rd parties
  • Occasional travel to Fanatics offices and other locations for conferences, events, meetings, and team building activities
  • Strong technical skills, both functional and non-functional, in a continuous delivery environment
  • Demonstrated ability to partner closely with analysts, product managers, and other engineers
  • Experience in large-scale cloud databases, data transformation, and performance optimization
  • Experience with modern tech stack and languages (python, SQL, SQS, Snowflake, S3, SFTP, dbt, Airflow)
  • Positive and flexible attitude to work in a fast-paced environment and a willingness to embrace new initiatives and technologies
  • Strong communication skills with the ability to represent complex topics in a succinct way
  • Experience working within AWS environment
  • Experience with Snowflake
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