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Data Engineer II

Job

American Express

Phoenix, AZ (In Person)

Full-Time

Posted 5 days ago (Updated 2 days ago) • Actively hiring

Expires 7/13/2026

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Job Description

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues. The Technology organization enables and accelerates the company's growth strategies, delivering global capabilities and services in support of Amex's customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights. Enterprise Platforms is a company-wide center of excellence responsible for the product management and engineering of four critical platforms that underpin American Express' essential customer segments, value propositions, and business lines: Enterprise Money Movement, U.S. Deposits, Global Accounts Receivable, and Global Loyalty & Benefits. Technology Business Management is American Express' Technology operations including investment management processes, strategy, vendor management, global workforce and talent strategy, and Transforming Ways of Working program. Let's build on what you know. The Enterprise FinOps team is a key pillar within the Integrated Data, Engineering & Analytics organization. We are seeking a Data Engineer II to join our team and help deliver scalable data solutions that support public cloud financial management. This role will focus on building and maintaining data pipelines, supporting analytics and reporting capabilities, and improving data quality, automation, and access to insights that enable more effective financial and operational decision-making.