Data Engineer, Fire Tablets

Amazon Devices is seeking a skilled Data Engineer to join their analytics team supporting Kindle, Fire, and Echo products worldwide. This role offers an exciting opportunity to work at the intersection of consumer technology and data engineering, with direct impact on Amazon's growing Devices business.

As a Data Engineer, you'll be instrumental in creating and managing the data infrastructure that powers machine learning projects from experimentation to production. You'll work closely with research scientists and business intelligence engineers, serving as the technical expert for data storage, feature instrumentation, and data privacy.

The role involves managing complex AWS resources and building ETL pipelines using various technologies. You'll be responsible for designing and implementing analytical data infrastructure, working with SQL and AWS big data technologies. The position requires strong technical expertise in data modeling, warehousing, and ETL processes.

What makes this role unique is its broad scope across Amazon's device ecosystem. You'll be working on projects that span multiple organizations, requiring coordination of experimentation, economic analysis, forecasting, and predictive machine learning tools. The impact of your work will be directly visible in Amazon's device business success.

The ideal candidate brings 3+ years of data engineering experience and strong SQL skills. Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, and others is highly valued. You'll be joining a team that values innovation, hands-on problem-solving, and customer obsession.

Amazon offers a competitive compensation package ranging from $118,900 to $205,600 based on location and experience, plus comprehensive benefits. This is an excellent opportunity for a data professional looking to make a significant impact in a leading tech company's devices division while working with cutting-edge technologies and talented teams.