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Be ready to walk through database architecture choices, scalability and security tradeoffs, and how you model tables, views, and transfer mechanisms for real applications. Expect collaboration scenarios with architects and product stakeholders, not only SQL syntax drills.
Strong fit if you enjoy mid-level data platform work—modeling, architecture, and reliable pipelines—for a consumer-facing brand, with remote flexibility and occasional Midtown Manhattan touchpoints near Grand Central.
As a Data Engineer II at Fanatics, a typical day centers on designing and documenting database architectures, modeling data for applications, and building transfer paths, partitions, and indexes that keep pipelines scalable, secure, and reliable. You collaborate with architects and analysts to turn business needs into durable data structures and interfaces.
Yes. The listing is marked remote, with a Grand Central / Manhattan location reference rather than a required daily office commute.
Per O*NET Database Architect tasks: architectures, data models, scalable and secure designs, and collaboration with architects and analysts on business requirements.
Start with freeCodeCamp, Saylor CS courses, CS50 (free to learn), and Microsoft Learn developer paths—all listed as free or free to learn in the provided cert resources.
Public-domain labor data — prepare examples for 2–3 of these.
Data Engineer II - Remote at Fanatics in Grand Central, Manhattan About the Role Fanatics is seeking a Data Engineer II to join our team. As a Data Engineer, you will be responsible for designing and implementing robust data solutions that support our global digital sports platform. You will work closely with cross-functional teams to ensure seamless integration of data across various platforms, including Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming. Your Responsibilities Design, develop, and maintain efficient, scalable, and automated pipelines for data collection and processing. Collaborate with data scientists and analysts to understand their needs and translate them into technical solutions. Implement best practices in data governance, security, and quality control. Optimize existing systems and processes to improve performance and reduce costs. Qualifications Bachelor’s degree in Computer Science or a related field; advanced degree preferred. 5+ years of experience as a Data Engineer, with a focus on large-scale data processing and analytics. Proficiency in programming languages such as Python, Java, or Scala. Experience with big data technologies like Apache Hadoop, Spark, and Kafka. Familiarity with cloud platforms like AWS or GCP is a plus. Why Join Fanatics At Fanatics, you will have the opportunity to work on cutting-edge projects that impact millions of sports fans worldwide. Our team culture values innovation, collaboration, and continuous learning. We offer competitive compensation packages, comprehensive benefits, and a remote-friendly work environment. Ready to Apply? To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
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