Experienced Data Engineer for Big Data Solutions - Remote Opportunity with NIKE, Inc.

Posted 2025-10-27 09:21:52
Remote, USA Full Time Immediate Start
Join the NIKE Team: Where Innovation Meets Passion At NIKE, Inc., we're not just about creating the world's most iconic athletic wear; we're about pushing the boundaries of what's possible. We're a company that thrives on innovation, diversity, and imagination. As a leader in the sportswear industry, we're committed to fostering a culture that rewards creativity, skill, and passion. If you're a motivated individual looking to grow and make a meaningful impact, we invite you to explore this exciting opportunity to join our team as a Data Engineer. About the Role As a Data Engineer at NIKE, Inc., you'll play a critical role in designing and implementing data products and features that drive business decisions. You'll collaborate with product owners, data analysts, and business partners to develop scalable data solutions that meet the needs of our ever-evolving organization. This is a remote opportunity that allows you to work from anywhere, with the flexibility to balance your work and personal life. Key Responsibilities Design and implement data products and features in collaboration with cross-functional teams. Contribute to the overall architecture, frameworks, and standards for processing and evaluating big data. Evaluate new technologies, tools, and frameworks aimed at processing large volumes of data. Translate product backlog items into logical units of engineering work. Implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem. Build tools, user-defined functions, libraries, and frameworks to better enable data flow patterns. Collaborate with engineering leads and other teams to ensure quality solutions are implemented and technical best practices are defined and followed. Create and participate in automated unit tests and participate in integration tests. Use and extend continuous integration and deployment frameworks. Troubleshoot data issues and perform root cause analysis. Work in teams to resolve operational and performance issues. Essential Qualifications
Back to Job Board