Data Engineer Amazon
Seattle, WA

Job Description

Are you excited about bringing data science & art together to uncover areas of opportunity that help shape leadership decisions and drive improved performance? We are looking for passionate, insightful, results-oriented data engineers to join our Region Business Insights team. From database modeling, data visualization, statistical analysis, predictive analytics, machine learning and automated reporting, we'll do it all!

Amazon Web Services is innovating new ways of building massively scalable distributed systems and delivering the next generation of cloud services that support commercial and public sector customers around the world. We hold high standards for our computer systems and the services we deliver to our customers: our systems are highly secure, highly reliable, highly available, all while functioning at massive scale. Our employees are smart, passionate about the cloud, driven to serve customers, and fun to work with.

This is a tremendous opportunity to develop creative, new, and innovative ways of interacting with and interpreting business key performance indicators, and shape the future of cloud computing. The breadth of data we work with spans every aspect of AWS making this one of the most exciting positions in all of Amazon. We provide insights and answers, by employing machine learning (ML) and artificial intelligence (AI) capabilities, that shape massive decisions regarding the future direction of AWS.

You'll be surrounded by people who are smart, passionate about cloud computing, and believe that world class service is critical to customer success. We're looking for innovators who want to create reliable and scalable solutions to help our leaders increase the value for our customers. On a "typical" day, our Data Engineers might collaborate with engineers to implement the design of the data architecture, work with business owners to build data sets and other products that answer their specific business questions, investigate why performance is deviating from forecast models, or build predictive models.

You will work closely with the business and technical teams on many non-standard and unique business problems and use creative-problem solving to deliver actionable output. Our team is serious about great design and redefining best practices with a cloud-based approach to scalability and automation. A successful candidate will be a self-starter,

Have Questions, want to Apply or have someone to Refer?

Contact Kevin Healy directly - healkevi@amazon.com