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. As part of Team Amex, you'll experience this 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. As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers' digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex. Let's share success. Infrastructure Data & Analytics aims to establish and reinforce a culture of effective metrics, data-driven business processes, architecture simplification, and cost transparency. As the Data Science team in Infrastructure Data & Analytics is building and deploying machine learning (ML) models and Gen AI solutions, we are looking for a senior data engineer to build and deploy data engineering pipelines in production that support these ML models and AI/Gen AI solutions. This is an individual contributor role with responsibilities ranging from hands-on coding, debugging, documentation to stakeholder management and presentations. Let's build on what you know. If you are a pioneer in building data pipelines and data-based storytelling, you'll find a fit in our Data Science team within Infrastructure Data & Analytics. To succeed in this newly forming team, you'll need to be comfortable navigating ambiguity to stand up solutions 01 while discovering and leveraging enterprise platforms and best practices.