Do you want to solve business challenges through innovative technology? Do you enjoy working on most advanced, scalable services technology in a team environment? Do you like working on industry-defining projects that move the needle?

At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Data Engineers (DEs) use most advanced technology to solve complex problems and get to see the impact of their work first-hand.

The challenges DEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. If this sounds interesting to you, apply and come chart your own path at Amazon.

This role is based out of the Greater Seattle area, WA.

Key job responsibilities
Are you interested in automatically customizing every Amazon experience for every customer on any device? Do you enjoy corralling massive amounts of distributed data using predictive analytics and deep learning to create meaningful information? If these things appeal to you, then the Customer Behavior Analytics team is for you! We are seeking experienced data engineers to help us change the game on how the world thinks of customer relationship management(CRM) and tackle problems that haven’t been solved yet.

The CRM team matches content to customers across all of Amazon's businesses and marketing channels. Our systems operate at a massive scale and rely heavily on machine learning, data aggregation, and data mining. These techniques allow us to provide a high degree of accuracy in getting the right content to the right customer - and driving significant increases in our business objectives as a result.

The ideal candidate for this has excellent problem-solving skills, a solid understanding of data engineering fundamentals, a customer-focused mindset, and a proven track record of on-time delivery. They are familiar with machine learning, service-oriented architectures, and distributed data and services.