Data Engineer II - Global Servicing Technology

About the role

The Data Platform team within the Servicing Experiences Technology (SET) organization is seeking a Data Engineer to design, build, and maintain data systems that support critical business and operational use cases.

Responsibilities

• Build and maintain scalable data pipelines (batch and streaming).
• Ingest, transform, and model data for analytics and operational use cases.
• Ensure data quality and reliability through validation, monitoring, and alerting.
• Integrate with upstream systems and downstream data platforms and BI tools.
• Optimize data pipelines for performance, scalability, and cost efficiency.
• Implement data governance practices, including lineage and auditing.
• Own production workflows, including availability, latency, and failure recovery.
• Write efficient SQL queries to extract and manipulate data across relational and analytical systems.
• Apply data quality and QA testing methodologies to ensure accuracy and consistency.
• Demonstrate understanding of data risk management and compliance best practices.
• Collaborate effectively across teams to deliver data-driven solutions.
• Manage complex systems with multiple stakeholders and dependencies.
• Contribute to software delivery lifecycle processes including build, test, deployment, and operations.

Qualifications

• 2–5 years of experience in data engineering or backend engineering.
• Strong proficiency in Python, Java and SQL.
• Experience building and maintaining ETL/ELT pipelines in cloud environments (GCP preferred).
• Hands-on experience with Airflow (or similar tools) and distributed processing frameworks.
• Understanding of data modeling and distributed systems concepts.
• Experience with data quality, validation, and monitoring practices.
• Exposure to event-driven systems such as Kafka.
• Strong problem-solving skills and ability to work independently with limited guidance.
• Some hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems (professional or project-based).

Preferred Qualifications

• Experience with data warehousing platforms (BigQuery or similar).
• Familiarity with streaming architectures and real-time data processing.
• Experience working in large-scale or regulated enterprise environments.
• Exposure to analytics/BI tools (Tableau, Power BI, Looker).
• Experience optimizing large datasets and high-throughput pipelines.
• A track record of shipping AI-powered or agentic systems that real users depend on.
• Hands-on experience with modern LLM tooling and agentic patterns and architectures.
• Fluency with AI-assisted and agentic development workflows.
• Familiarity with AI-assisted development tools for coding, testing, and optimization.

About Us

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.

Team Amex Benefits

We back your colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster. The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.