Join Amazon's Innovative Team and Shape the Future of Data Engineering We are seeking a highly skilled and motivated Data Engineer to join our North America Sort Focuses (NASC) team. As a key member of the NASC SPEeD (Sortation Items Engineering and Data) group, you will play a crucial role in developing scalable solutions to address increasing operational complexity and drive success in our sortation network. Enjoy the freedom and flexibility of this remote role, with a competitive salary and opportunities for professional growth and development. About the Role: Design, build, and maintain large-scale data systems, including data warehouses, ETL pipelines, and data lakes Collaborate with cross-functional teams to identify and prioritize project requirements and deliver high-quality solutions Utilize state-of-the-art technologies, such as AWS, big data, and AI, to drive innovation and efficiency Work in a fast-paced, dynamic environment with a focus on delivering value quickly and frequently Requirements: 3+ years of experience in data engineering, with a strong background in data modeling, warehousing, and ETL pipeline development Bachelor's degree in Computer Science, Engineering, or a related field Experience with AWS technologies, such as Redshift, S3, and EMR, is preferred Excellent problem-solving skills, with the ability to think creatively and work collaboratively What We Offer: Competitive salary and benefits package Opportunities for professional growth and development, with guidance from senior engineers and product managers Flexible, remote work environment with a focus on work-life balance Collaborative, dynamic team environment with a passion for innovation and excellence How to Apply: To apply, please submit your application, including your resume, cover letter, and any relevant documentation. We can't wait to hear from you! Apply Now Apply for this job