Data Engineer, Amazon Customer Service

Amazon's Worldwide Defect Elimination (WWDE) team within Customer Service is seeking a Data Engineer with extensive Big Data experience. This role is crucial in maintaining customer trust by developing solutions that address and prevent customer issues. The position involves collaborating with cross-functional teams to build and maintain data pipelines for both structured and unstructured data.

The ideal candidate will join a dynamic team focused on customer experience improvement through data-driven solutions. You'll work with cutting-edge big data technologies and have the opportunity to contribute to machine learning initiatives. The role combines technical expertise in data engineering with business impact, as you'll be instrumental in helping Amazon identify and eliminate systematic defects in customer service.

Working in the WWDE organization, you'll be part of a team that represents the "empty chair" - Amazon's customer-first philosophy. Your work will directly impact how Amazon measures, listens to, and acts on customer feedback. The team supports various services including Voice of Customer (VoC), root cause identification, and customer trust initiatives through a combination of engineering and science.

This is an excellent opportunity for a data engineer who wants to work at scale, with access to AWS technologies like Redshift, S3, AWS Glue, EMR, and more. You'll be part of a welcoming culture that values detail-orientation and flexibility, while gaining invaluable experience with the latest in big data technologies and potential exposure to statistical and Natural Language modeling.

The position offers comprehensive benefits including medical, dental, and vision coverage, parental leave options, PTO, and a 401(k) plan. Join us in building the future of customer service through data-driven solutions at one of the world's most customer-centric companies.