Data Engineer, Customer Experience and Business Trends
Amazon
DESCRIPTION
The Customer Experience and Business Trends team is seeking a passionate and skilled Data Engineer to help build the next generation of intelligent, multimodal systems at Amazon.
In this role, you will work at the intersection of large-scale data infrastructure and AI applications. You will collaborate closely with Applied Scientists, Software Development Engineers, and product teams to build robust pipelines and scalable data systems that power AI-driven experiences. Your contributions will be critical to ensuring data quality, system reliability, and performance as we bring next-generation agent capabilities into production.
Key job responsibilities
- Will work with other engineers to design and build scalable data pipelines, prototype new data solutions, and evaluate system performance and reliability.
- Will work closely with applied scientists to ingest, process, and transform large-scale datasets in support of model training, evaluation, and deployment.
- Will work in an Agile/Scrum environment to deliver robust, high-quality data infrastructure and services.
About the team
Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings – for almost every business at Amazon – for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers).
Our approach is based on determining the customer need, along with problem solving, and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team, made up of a diverse set of profiles, skills, and backgrounds – including: Product Managers, Software Developers, Computer Vision experts, Solutions Architects, Data Scientists, Business Intelligence Engineers, Business Analysts, Risk Managers, and more.