Data Engineer, Sales Recommendations & Insights Science

Amazon is seeking a Data Engineer for their Sales Recommendations & Insights Science team. This role combines data engineering expertise with machine learning infrastructure support. The position involves managing Redshift clusters, creating data pipelines using AWS Glue, and working closely with scientists to improve training infrastructure and model deployments. The ideal candidate will have strong experience with AWS services, distributed computing, and data pipeline management.

The role offers an opportunity to work with cutting-edge technologies in a team focused on improving Amazon's sales recommendations systems. You'll be responsible for creating efficient data pipelines, managing cloud infrastructure, and ensuring data accessibility through various AWS services. The position requires both technical expertise and collaborative skills, as you'll work closely with data scientists and other team members.

The compensation is highly competitive, ranging from $118,900 to $205,600 based on location and experience, plus additional benefits including equity and comprehensive medical coverage. Amazon provides a diverse and inclusive workplace environment, supporting various employee needs including workplace accommodations when necessary. This is an excellent opportunity for a data engineer looking to make an impact at one of the world's leading technology companies while working with advanced data systems and machine learning infrastructure.