Data Engineer, QuBIT

Amazon's Quantitative Business Intelligence (QuBIT) organization is seeking a Data Engineer to build near real-time and historical data solutions that transform operational data into actionable insights. You'll be part of a team establishing and maintaining QuBIT's data lake house - the single source of truth for North American Customer Fulfillment operations.

In this role, you'll work with vast amounts of data from across North American fulfillment centers, directly impacting network optimization that affects millions of customer deliveries daily. You'll collaborate with Product Managers, Software Engineers, and Business Intelligence Engineers to automate and scale analytics capabilities.

Key responsibilities include:

• Designing and implementing scalable ETL processes
• Optimizing data storage and retrieval processes
• Ensuring data quality and governance
• Implementing data security measures
• Contributing to data model design and query optimization
• Working with data from Amazon Robotics, Labor Services, and other sources

You'll serve as a liaison between business and technical stakeholders, representing data infrastructure needs and challenges to both engineering and business management teams. The role requires deep domain knowledge of Amazon's business and fulfillment space, focusing on data pipeline architecture and storage infrastructure.

The position offers competitive compensation ranging from $91,200 to $185,000 per year based on location and experience, plus equity and comprehensive benefits. You'll be working with cutting-edge technologies and solving complex data engineering challenges at scale while contributing to the world's largest logistics network.

Join a team of highly skilled engineers working with emerging data technologies and make a direct impact on how Amazon optimizes its global fulfillment operations.