Data Engineer, Data & AI, Customer Engagement Technology

As a Data Engineer on the Data and AI team at Amazon, you will play a crucial role in implementing robust data pipelines and infrastructure that power the organization's data-driven decisions and AI capabilities. This position is vital for developing and maintaining enterprise-scale data processing systems that handle high-volume transactions while ensuring data security, privacy compliance, and optimal performance.

You'll be joining a dynamic team that designs and implements comprehensive data solutions, from real-time processing architectures to secure storage solutions and privacy-compliant data access layers. The role involves extensive collaboration with cross-functional teams, including software development engineers, product managers, and scientists, to create data products that power critical business capabilities.

Working with leading technologies in cloud computing, big data processing, and machine learning infrastructure, you'll contribute to developing robust data governance frameworks. Your typical day will involve team stand-ups, monitoring data pipelines, troubleshooting issues, implementing ETL/ELT processes, and ensuring data quality standards are maintained across systems.

The Data and Artificial Intelligence (AI) team is a new function within Customer Engagement Technology, owning the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy. The team develops and applies Generative AI, Machine Learning, Ontology, and Natural Language Processing to enhance customer and associate experiences.

This role offers an exciting opportunity to shape the future of Amazon's data and AI capabilities while working with cutting-edge technologies and solving complex technical challenges in a high-scale environment. If you're passionate about data engineering and want to make a lasting impact on a global scale, this position provides the perfect platform to grow your career while working with some of the most advanced data systems in the industry.