[Skip to main content](#main-content) [ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/) American Express · Phoenix, AZ # Sr Data Engineer - Financial Data Engineering Phoenix, AZ, United States Hybrid Full-time Senior individual contributor Data & Analytics Listed on American Express’s official careers site. Posted October 26, 2026. Check that it is still open and apply there. [Apply on American Express’s careers site →](https://egug.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/26015167) [OpenNash Jobs](https://jobs.opennash.com/) / [American Express](https://jobs.opennash.com/companies/american-express/) / Sr Data Engineer - Financial Data Engineering ## Job 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/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 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, DevOps, 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, 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. Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions. ## At a glance - Posted by the employer: Oct 26, 2026 - First seen by OpenNash: Nov 1, 2026 - Last checked: Nov 1, 2026 - Listed for: 6 days - Location: Phoenix, AZ, United States - Work arrangement: Hybrid - Employment type: Full-time[Apply on American Express’s careers site →](https://egug.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/26015167) ## Hiring at American Express - Open jobs: 396 - New in the last 7 days: After two weekly collections - Tracked since: Jul 10, 2026 [All American Express jobs](https://jobs.opennash.com/companies/american-express/) · [Weekly hiring report](/reports/hiring/) ## More jobs at American Express ### [Analyst-Data Science](https://jobs.opennash.com/companies/american-express/jobs/26b7f8a5eeea6235f401/) Phoenix, AZ, United States ### [Campus Graduate Masters Full-Time Manager - 2027 Data Engineer II, Enterprise Technology Services- Phoenix, AZ](https://jobs.opennash.com/companies/american-express/jobs/33479f1f575d6b32e9f5/) Phoenix, AZ, United States ### [Campus Graduate Masters Full-Time Senior Analyst - 2027 Data & Analytics, Enterprise Technology Services- Phoenix, AZ](https://jobs.opennash.com/companies/american-express/jobs/90faf5e76e567fb9c2bc/) Phoenix, AZ, United States ### [Campus Graduate Masters Summer Internship Program - 2027 Data Management, Global Merchant & Network Services - Phoenix, AZ](https://jobs.opennash.com/companies/american-express/jobs/cedddafb95e5a5090d8e/) Phoenix, AZ, United States ### [Campus Undergraduate Full-Time Analyst - 2027 Data & Analytics, Enterprise Technology Services- Phoenix, AZ](https://jobs.opennash.com/companies/american-express/jobs/89c0790ab79182402dc3/) Phoenix, AZ, United States ## Similar jobs at other companies ### [Financial Data Integrator - Level 3](https://jobs.opennash.com/companies/lockheed-martin/jobs/8e5bfc241b8467790916/) Lockheed Martin · Fort Worth, TX ### [Data Engineer Sr – Home Lending Data Delivery - Columbus, OH](https://jobs.opennash.com/companies/huntington-bank/jobs/5d555ac8933f41507555/) Huntington Bank · Columbus, OH ### [Data Platform DevOps Engineer – Senior Associate (Enterprise Data Solutions)](https://jobs.opennash.com/companies/jpmorganchase/jobs/2a3b62134afde53146c8/) JPMorganChase · Plano, TX, United States ### [Data Center Engineer - Elk River, MN Data Center](https://jobs.opennash.com/companies/target/jobs/54bfe9c20dae67cb63a6/) Target · Elk River, MN ### [Software Engineer III - Data Engineer](https://jobs.opennash.com/companies/jpmorganchase/jobs/3284709853a301a4ea54/) JPMorganChase · Plano, TX, United States OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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