Staff Data Engineer

🕒 February 12

🗽 New York – Remote

🗽 New York – Remote

💵 $180.5k - $237.5k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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Fanatics, Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🎮 Gaming

🛒 Retail

🛍️ eCommerce

Gaming • Retail • eCommerce

Fanatics is building a leading global digital sports platform that aims to enhance the fan experience for over 100 million sports enthusiasts worldwide. The company operates across several divisions including Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming. They offer fans the opportunity to buy licensed fan gear, jerseys, lifestyle products, and headwear, collect physical and digital trading cards, sports memorabilia, and other digital assets, as well as engage in sports betting. Fanatics partners with over 900 sports properties globally, including major leagues, teams, and athletes, and operates more than 2,000 retail locations. The company is committed to corporate responsibility with a focus on philanthropy, diversity and inclusion, brand protection, and sustainability.

📋 Description

• Design, build, and operate core platform systems, including schema management, streaming frameworks, and event mesh systems. • Define technical standards and patterns for the Streaming Data Platform team. • Lead cross-team design reviews for systems that interact with or depend on the streaming platform. • Drive platform reliability, performance, and cost strategy across streaming services. • Design and implement shared libraries, frameworks, and tooling for stream consumers. • Partner with product and engineering teams to translate requirements into platform capabilities. • Produce technical proposals and documentation that communicate design, trade-offs, and long-term implications. • Serve as an escalation point for complex streaming issues and high-impact incidents. • Sponsor and grow senior engineers through technical mentorship and challenging assignments.

🎯 Requirements

• 8+ years of experience in backend engineering, data engineering, or platform engineering. • Deep expertise with Kafka, including internals, operational tuning, and ecosystem tooling. • Track record designing and operating multi-service distributed systems. • Experience setting technical direction for a team or domain. • Strong written and verbal communication skills, with experience presenting complex technical topics to diverse audiences. • Experience with schema evolution, data contracts, or data governance patterns. • Experience building self-service platforms or developer-facing tooling is a plus. • Experience with infrastructure as code tools; Terraform experience is a plus. • Experience developing in Go is a strong plus.

🏖️ Benefits

• Remote employee may also be eligible for a home office setup stipend.