Big Data Engineer, Global Finance Technology (GFT)

Amazon's Global Finance Technology (GFT) team is seeking a Big Data Engineer to join their Corporate FP&A division. This role sits at the intersection of finance and technology, working directly with data that influences CFO-level decision making. The position offers an opportunity to work on enterprise-wide financial planning & analytics environment, building scalable data engineering solutions that process and transform large financial datasets using AWS distributed systems.

The role combines technical expertise in big data technologies with business acumen, requiring close collaboration with finance stakeholders to deliver impactful solutions. You'll be working with technologies like Hadoop, Hive, Spark, and EMR, while building and maintaining ETL pipelines that handle Amazon's massive financial data operations.

As part of the GFT Data Services team, you'll enjoy a unique perspective into Amazon's operations, contributing to tools that enhance productivity, improve financial accuracy, and reduce waste. The team's work directly impacts decision-making at the highest levels of finance leadership, making this an influential position within the organization.

The ideal candidate brings 3+ years of data engineering experience, strong programming skills in languages like Python, Java, or Scala, and expertise in SQL and big data technologies. The role offers competitive compensation ranging from $118,900 to $205,600 based on location, plus equity and comprehensive benefits.

This position provides an excellent opportunity for those passionate about big data, finance technology, and building enterprise-scale solutions that drive business decisions. You'll be part of a team that values mentorship, operational excellence, and continuous improvement, while working on systems that directly impact Amazon's financial operations.