Data Engineer II

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.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you'll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

• Foundational knowledge of data engineering concepts, including data pipelines, ETL/ELT processes, and structured data management.

• Strong analytical and problem-solving skills, with the ability to work with large datasets and support data-driven decision-making.

• Strong data modeling skills. Apptio Cloudability and Apptio TBM a plus

• Proficiency with data visualization and reporting tools such as Power BI or Tableau.

• Demonstrated knowledge of database management systems and related ecosystems

• Experience in SQL and Python (or other similar programming languages)

• Experience with Agile methodologies is desirable

• Ability to effectively prioritize and manage multiple tasks and projects with competing deadlines

• Ability to adapt to changing priorities and business needs while maintaining focus on key objectives.

• Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

• Build, maintain, and optimize data pipelines and workflows that support cloud financial management, reporting, and analytics use cases.

• Design and support data models, transformations, and datasets that enable accurate, timely, and scalable dashboarding and self-service reporting.

• Partner with Finance, Engineering, Product, and analytics stakeholders to translate business needs into effective data solutions.

• Develop and support dashboards, curated datasets, and recurring data products delivered to end users on a consistent cadence.

• Maintain and enhance data infrastructure that supports both internal analytics and customer-facing or self-service access patterns.

• Contribute to automation initiatives that improve data quality, operational efficiency, and the reliability of reporting processes.

• Apply best practices in data engineering, governance, and cloud cost data management to continuously improve platform capabilities.

• Support data integration and cost attribution solutions by working closely with engineers, analysts, and business partners across the organization.

• Build, maintain, and optimize data pipelines and workflows that support cloud financial management, reporting, and analytics use cases.

• Design and support data models, transformations, and datasets that enable accurate, timely, and scalable dashboarding and self-service reporting.

• Partner with Finance, Engineering, Product, and analytics stakeholders to translate business needs into effective data solutions.

• Develop and support dashboards, curated datasets, and recurring data products delivered to end users on a consistent cadence.

• Maintain and enhance data infrastructure that supports both internal analytics and customer-facing or self-service access patterns.

• Contribute to automation initiatives that improve data quality, operational efficiency, and the reliability of reporting processes.

• Apply best practices in data engineering, governance, and cloud cost data management to continuously improve platform capabilities.

• Support data integration and cost attribution solutions by working closely with engineers, analysts, and business partners across the organization.