Data Engineer III

American Express Company; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

American Express is seeking a Data Engineer to design and optimize data architectures and pipelines that power enterprise insights.

You will collaborate with cross-functional teams to align data solutions with business needs and standards, and you will promote best practices in data infrastructure.

This role focuses on big data management, including partitioning and indexing strategies to ensure scalable, reliable data services and supporting analytics platforms.

Responsibilities

• Leads design and optimization of data architectures and pipelines.
• Collaborates with cross-functional teams to align with business needs and enterprise standards.
• Advances data infrastructure best practices and big data management via partitioning and indexing strategies.

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.

Data Engineer leads the design and optimization of data architectures and pipelines, collaborates with cross-functional teams to ensure alignment with business needs and enterprise standards, fosters innovation and best practices in data infrastructure, and executes Big Data management strategies through partitioning and indexing solutions.