Data Engineer, Customer Experience and Business Trends

Customer Experience & Business Trends (CXBT) at Amazon is seeking a talented Data Engineer to join their team in developing optimized solutions for high-quality data analytics and product infrastructure. This role is crucial in understanding and improving Amazon customer experiences globally.

As a Data Engineer, you'll work at the intersection of big data and customer experience, building scalable data pipelines that power critical business insights. You'll collaborate with Software Developers, Business Intelligence Engineers, Scientists, and Product Managers to develop and maintain data infrastructure for both structured and unstructured data.

The role requires strong technical expertise in ETL processes, data modeling, and AWS technologies (including Redshift, Glue, EMR, and Lambda). You'll be responsible for building robust data pipelines that support automated reporting, implementing best practices in data modeling, and delivering high-quality datasets that enable data-driven decision making.

CXBT is a diverse organization dedicated to deeply understanding and improving customer experience globally. The team comprises various specialists including Product Managers, Software Developers, Computer Vision experts, Data Scientists, and Business Analysts, all working together to influence product and service offerings across Amazon's businesses.

The position offers competitive compensation ranging from $91,200 to $185,000 per year, depending on location and experience. Amazon provides a comprehensive benefits package and opportunities for professional growth in a dynamic, fast-paced environment.

This role is perfect for someone who combines technical expertise with business acumen, enjoys solving complex data challenges, and wants to make a direct impact on Amazon's customer experience. You'll be part of a team that values innovation, customer obsession, and data-driven decision making, while working with cutting-edge technologies and handling large-scale data infrastructure.