Sr Data Engineer - Financial Data Engineering

American Express • Phoenix, AZ

1d

About The Position

As part of American Express’s Finance Technology Data Governance team, the Senior Data Engineer designs, develops, migrates, deploys, and supports scalable data and reporting solutions, while enabling data governance across Finance applications. The role calls for hands-on experience in data engineering, cloud migration, data pipeline development, CI/CD, reporting, and production support. The engineer works with business, product, and technology teams to modernize data and reporting platforms and deliver reliable, secure, high-quality solutions.

Requirements

• 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, ETL/ELT, data modeling, and large-scale data processing.
• Experience with cloud platforms such as GCP and cloud-based data solutions.
• Hands-on experience with Apache Airflow or similar workflow orchestration tools.
• Experience implementing and maintaining CI/CD pipelines and supporting releases across environments.
• Strong experience with Git/GitHub, code reviews, branching strategies, dependency management, and vulnerability remediation.
• Hands-on experience with Power BI, including dashboard/report development and reporting platform migration.
• Experience with Agile, automated testing, deployment, monitoring, and production support.
• Strong analytical, troubleshooting, communication, and collaboration skills.
• Must be eligible to work for American Express in the United States; the company will not pursue visa sponsorship for these positions.

Responsibilities

• Design, develop, test, and support scalable data pipelines and data processing solutions.
• Enable data governance across Finance applications, including data lineage, data quality rules and reporting, anomaly detection, and controls.
• Lead and support migrations of data and applications from legacy platforms to cloud platforms, ensuring data integrity, reconciliation, performance, and stability.
• Design, develop, and support Apache Airflow DAGs and 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/GitHub 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 reporting solution migration and modernization, maintaining consistency of business logic, metrics, and 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, conduct root-cause analysis, and support timely resolution.
• Follow Agile, DevOps, release management, security, and change management practices.
• Collaborate with engineering, product, business, and platform teams to deliver reliable and maintainable solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior