Data Engineer, FinAuto, Accounts Receivable Data Engineering

Join Amazon's Finance Automation team as a Data Engineer to help build the next generation Financial data warehouse. After successfully implementing data mesh architecture serving thousands of users, we're evolving our data products to be AI-ready. You'll work on modernizing our architecture using Zero ETL, AWS Data Zone with end-to-end data lineage and 100% data quality visibility.

The AR Data Engineering (ARDE) team develops and maintains robust data solutions powering Global Accounts Receivable operations. We build comprehensive datasets for collections, cash management, customer contacts, and billing processes that drive critical business insights. Our scalable platform transforms how AR teams operate by providing near-time visibility into cash flow and collections.

As a Data Engineer, you'll work with AWS technologies (S3, EMR, Redshift) and traditional BI & DW systems. You should have strong experience in data warehousing components, dimensional modeling, and excellent problem-solving abilities dealing with huge data volumes. The role requires excellent communication skills as you'll work closely with diverse teams and senior leadership.

The ideal candidate will be passionate about building large-scale distributed systems and be part of democratizing data access for Amazon's Finance business. You'll join one of the fastest-growing Data Engineering teams at Amazon with strong technology orientation, working alongside industry-leading talent while tackling challenging problems.

This is an opportunity to shape the future of data engineering at Amazon while working in a premium environment where you can make meaningful contributions and enjoy the journey along the way.