The Amazon Devices organization is seeking a Senior Data Engineer to join their Devices Analytics team, focusing on customer engagement support for Kindle, Fire, and Echo products worldwide. This role combines technical expertise with strategic partnership, working directly with product managers and engineers. The position involves managing end-to-end data infrastructure projects, creating pipelines for machine learning initiatives, and driving critical data engineering solutions.
The role requires expertise in AWS technologies, data modeling, and ETL processes, with opportunities to work on diverse projects spanning experimentation, economic analysis, and predictive machine learning tools. You'll collaborate closely with research scientists and business intelligence engineers to build robust data infrastructure that supports both experimental and production environments.
As a senior member of the team, you'll be responsible for implementing best practices in data integrity, test design, and documentation while mentoring other team members. The position offers competitive compensation ranging from $139,100 to $240,500 based on location and experience, plus comprehensive benefits.
This is an excellent opportunity for an experienced data engineer who wants to make a significant impact on Amazon's growing Devices business, working with cutting-edge technologies and diverse teams while helping shape the future of consumer electronics. The role combines technical depth with business acumen, requiring someone who can both architect complex data solutions and communicate effectively with stakeholders across the organization.