Data Engineer, Customer Engagement Technology

As a Data Engineer on the Data and AI team at Amazon, you will be at the forefront of designing and implementing robust data pipelines and infrastructure that power the organization's data-driven decisions and AI capabilities. This role is integral to the Customer Engagement Technology division, where you'll develop and maintain enterprise-scale data processing systems handling high-volume transactions while ensuring data security and privacy compliance.

You'll join a dynamic team that creates comprehensive data solutions, from real-time processing architectures to secure storage solutions. Working closely with software development engineers, product managers, and scientists, you'll create data products that power critical business capabilities. The role offers exposure to cutting-edge technologies in cloud computing, big data processing, and machine learning infrastructure.

Your typical day involves team stand-ups, monitoring data pipelines, developing ETL/ELT processes, and collaborating with cross-functional teams. You'll be responsible for implementing data governance controls, reviewing code, and maintaining technical documentation. The position offers competitive compensation ranging from $118,900 to $205,600 based on location and experience, plus comprehensive benefits including medical, dental, vision coverage, and 401(k).

This opportunity is perfect for someone passionate about solving complex technical challenges in high-scale environments, who thrives in a collaborative setting, and wants to make a lasting impact on Amazon's data infrastructure. The role requires 3+ years of data engineering experience and a strong technical background, with preferences for AWS expertise and data modeling skills.