Staff Data Engineer

Florida - Tampa

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Fanatics Inc
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Posted 1 month ago

Company Overview
Fanatics is the global leader in licensed sports merchandise and changing the way fans purchase their favorite team apparel and jerseys. Through an innovative, tech-infused approach to making and selling fan gear in today's on-demand culture, Fanatics operates more than 300 online and offline stores, including the e-commerce business for all major professional sports leagues (NFL, MLB, NBA, NHL, NASCAR, MLS, PGA), major media brands (NBC Sports, CBS Sports, FOX Sports) and more than 200 collegiate and professional team properties, which include several of the biggest global soccer clubs (Manchester United, Real Madrid, Chelsea, Manchester City). Fanatics offers the largest collection of timeless and timely merchandise whether shopping online, on your phone, in stores, in stadiums or on-site at the world's biggest sporting events.
About the Team
Fanatics is first and foremost a technology company. We are powered by cutting-edge tech created by our small agile teams using the latest tools and technologies under our highly analytical, forward thinking, and open-minded leadership. As the global leader in licensed sports merchandise, we challenge ourselves by improving our new fully responsive NodeJS cloud commerce platform, Elasticsearch engine, and deep data science capabilities while building the best-in-class retail manufacturing and supply chain technologies. Our tech teams work together to revolutionize data science and engineering initiatives, provide highly scalable real-time and streaming platforms, and create secure e-commerce and in-stadium fan experience products. Our own e-commerce platform transacts in over 190 countries, 17 languages, and 14 currencies. Our motto is “#GSD”—get stuff done—and we do just that. If you want to be at the nexus of sports, commerce, and technology, come be a part of our industry-leading team here at Fanatics Tech.
At Fanatics, we are passionate about leveraging data to drive growth and operational efficiencies. We firmly believe in putting data at the forefront of delivering an engaging experience for our sports fans! Fanatics Brands is looking for highly motivated individuals to join our Data Science and Engineering team. You will collaborate closely with data engineers, visual analytical designers and cross functional business units.
If you have passion and a proven record of contributing to the delivery of innovative data solutions tailored to solving complex scenarios, we'd love to talk to you.  The ideal candidate will have considerable depth of experience architecting, engineering and supporting the full spectrum of data analytics solutions spanning ETL, data modeling, semantic layer, reports and dashboards using best practices and cutting-edge technologies/methods.

What you'll be doing:

  • Establish partnerships with stakeholders to develop an understanding of their needs and long-term vision
  • Provide solution oversight for engineers, analysts and administrators including architecture, design collaboration, code reviews and prioritization of work
  • Develop analytical tools (dashboards, reports, etc.) to help users monitor core KPIs, provide proactive alerts/notifications, and facilitate exploratory analysis when needed
  • Promote ongoing adoption of business intelligence content through an emphasis on user experience, iterative design refinement and regular training
  • Empower customers to develop information driven insights through extensive self-service business intelligence training
  • Participate in architecting ingestion and modeling of new data sources, including creation of Source-to-Target specifications which serve to document data lineage and as a mapping to inform ETL/ELT construction
  • Architect frameworks for data pipeline orchestration (e.g. scheduling, configurations, dependency chaining, etc.) that facilitate error handling, notification, restartability and expedient data movement
  • Create, deploy and manage data models which fulfill requirements but also balance simplicity, performance, flexibility and scalability
  • Assist in ongoing administration and refinement of processes and environments, both data pipeline and analytics.  To include performance tuning, maintenance, upgrades and release management.

What we're looking for:

  • 7+ years working on data solutions initiatives within a BI/analytics context
  • 5+ years working with best-of-breed BI tools (SAP BusinessObjects, MicroStrategy, IBM Cognos, etc.)
  • Experience designing and developing data models, integrating data from multiple sources, building ETL pipelines, and supporting all aspects of the development lifecycle
  • Experience with/understanding of Big Data technologies such as Hadoop, Amazon EMR, Pig, Hive, Spark, and Redshift a plus
  • Must have expert level SQL programming knowledge and experience
  • Comprehensive understanding of cloud-based infrastructures/approaches and the nuances involved in achieving the scalability cloud offers but in a secure fashion
  • Experience with data lakes, open source technologies
  • Thorough understanding of data warehouse methodologies and concepts
  • Exposure to Java or Scala a plus
  • Possess technical aptitude and a desire to learn new technologies 
  • Capable of taking ownership of and accountability for deliverables 
  • Able to work in a collaborative environment to support rapid development and delivery of results 
  • Exhibit an understanding of business problems and translate those into creative, innovative and practical solutions that deliver high quality services to the business 
  • Willing to wear may hats and be flexible with a varying nature of tasks and responsibilities 
Tryouts are open at Fanatics! Our team is passionate, talented, unified, and charged with creating the fan experience of tomorrow. The ball is in your court now.

NOTICE TO CALIFORNIA RESIDENTS/APPLICANTS: In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we collect include your name, government issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information.  We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future contract positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies.
Job tags: Big Data Business Intelligence Data Analytics Engineering ETL Hadoop Java Open Source Redshift Scala Spark SQL