Data Engineer I - Global Servicing Technology

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.

The Servicing Experiences Technology (SET) organization enhances Servicing Experiences by building smarter platforms with seamless automation and AI-driven insights- empowering Colleagues and Customers alike.

• Develop, test, debug, and maintain software applications and services under the guidance of senior engineers.
• Participate in user story analysis, sprint planning, and design discussions to understand business and technical requirements.
• Write clean, maintainable, and well-documented code following established engineering standards and best practices.
• Assist in developing RESTful APIs, microservices, and application components using modern development frameworks and tools.
• Participate in code reviews, unit testing, integration testing, and defect resolution to ensure high-quality software delivery.
• Collaborate with cross-functional teams, including Product, QA, and Engineering, to deliver features and enhancements in an Agile environment.
• Support the automation of testing, deployment, and operational processes to improve development efficiency.
• Troubleshoot and resolve application issues under the guidance of senior team members.
• Learn and adopt new technologies, development frameworks, and engineering best practices to continuously improve technical skills.
• Contribute to technical documentation, knowledge sharing, and team collaboration to support ongoing development activities.

• 6 months + years of software development experience.
• Basic knowledge of cloud platforms such as Google Cloud Platform (GCP), AWS, or Azure, with exposure to services such as Google Cloud Storage and BigQuery.
• Familiarity with Big Data technologies such as Spark, Scala, Hive, or SQL.
• Basic understanding of ETL (Extract, Transform, Load) concepts, data modeling, and data processing techniques.
• Exposure to relational and/or NoSQL databases and SQL programming.
• Familiarity with Agile software development methodologies and the Software Development Life Cycle (SDLC).
• Basic understanding of Continuous Integration and Continuous Delivery (CI/CD) concepts and tools such as Git, Jenkins, Maven, or similar technologies.
• Working knowledge of version control systems (Git) and build automation tools.
• Basic understanding of web technologies (HTTP, REST APIs) and familiarity with Linux/Unix environments.
• Strong understanding of programming fundamentals, data structures, algorithms, and object-oriented programming concepts.
• Strong analytical, problem-solving, and debugging skills.
• Excellent verbal and written communication skills, with the ability to work effectively in a collaborative team environment.
• Demonstrated curiosity, learning agility, and a proactive mindset toward continuous learning and process improvement.

Good to Have:

• Basic knowledge of Power BI for developing reports, dashboards, and data visualizations.
• Familiarity with creating simple data models, metrics, and KPIs to support reporting and business analytics.
• Working knowledge of DAX, Power Query, and SQL, with the ability to develop interactive reports and perform basic data analysis.
• Understanding of data modeling concepts and exposure to tabular models or semantic models through academic projects, internships, or professional experience.
• Basic troubleshooting and debugging skills for BI reports, datasets, and dashboards.
• Familiarity with BI concepts, metadata management, and data governance principles.
• Exposure to data visualization best practices and the ability to present insights in a clear and meaningful manner.
• Strong analytical skills with an interest in leveraging data to support business decision-making.
• Eagerness to learn modern BI technologies and continuously improve technical and analytical skills.
• Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.