American Express Data Engineer Interview Questions + Guide in 2025

American Express is a global financial services company known for its customer-centric approach and innovative technology solutions that enhance customer experience and loyalty.

As a Data Engineer at American Express, you will be integral in designing, implementing, and maintaining data pipelines and architectures that support the organization’s data ecosystem. Your role will include collaborating with cross-functional teams to gather and sanitize extensive datasets, ensuring data quality and consistency, and extracting actionable insights to inform business decisions. Proficiency in programming languages like Java and Python, as well as expertise in SQL, is essential. Additionally, familiarity with cloud computing and big data technologies will set you apart, as the company emphasizes scalable, reliable, and efficient solutions. Key responsibilities involve developing predictive models, implementing machine learning algorithms, and creating visualizations to communicate findings effectively. An ideal candidate is not only technically adept but also embodies American Express's values of integrity, collaboration, and innovation.

This guide will help you prepare for a job interview by providing insights into what the company values in candidates, the skills and experiences to highlight, and the types of questions you may encounter.

Typically, interviews at American Express vary by role and team, but commonly Data Engineer interviews follow a fairly standardized process across these question topics.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Practice for the American Express Data Engineer interview with these recently asked interview questions.