Sr Data Engineer - Financial Data Engineering

Job d:

Location:

Phoenix, AZ, United States Salary: $123000 - $215250 annually + bonus + benefits

Job Function:
Engineering & Architecture

Schedule:

Full time

Shift: Day Workplace:
Hybrid Career Area:
Technology Company:
American Express 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.

As part of the Finance Technology Data Governance team, the Senior Data Engineer will be responsible for designing, developing, migrating, deploying, and supporting scalable data and reporting solutions. They will also be responsible for enabling data governance across various finance applications.

The role requires strong hands-on experience in data engineering, cloud migration, data pipeline development, CI/CD, reporting, and production support. The engineer will work closely with business, product, and technology teams to modernize existing data and reporting platforms and deliver reliable, secure, and high-quality solutions.

Responsibilities Design, develop, test, and support scalable data pipelines and data processing solutions.

Enable Data Governance (data lineage, data quality rule enablement and reporting, anomaly detection, establishing controls) and Reporting on data assets across Finance Applications.

Lead and support data and application migrations from legacy platforms to cloud platforms, ensuring data integrity, reconciliation, performance, and stability. Design, develop, and support Apache Airflow DAGs/jobs for workflow orchestration and data processing.

Build and maintain CI/CD pipelines to automate code builds, testing, deployments, and releases across environments.

Manage Git/Git Hub repositories, including branching, pull requests, code reviews, dependency management, and vulnerability remediation.

Develop and maintain Power BI dashboards and reports, including data modeling, visualization, performance optimization, and report validation.

Support migration and modernization of reporting solutions, ensuring consistency of business logic, metrics, and reporting outputs.

Perform source-to-target mapping, data validation, reconciliation, and performance optimization for migration and development activities.

Implement automated testing, monitoring, error handling, and operational controls for data pipelines.

Troubleshoot production issues, perform root-cause analysis, and support timely resolution.

Follow established Agile, Dev Ops, release management, security, and change management practices.

Collaborate with engineering, product, business, and platform teams to deliver reliable and maintainable solutions.

Qualifications Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent professional experience.

Strong hands-on experience in data engineering, application development, and data migration.

Strong understanding of Data Management principles and data Governance Strong experience with SQL,…