Data Engineer

You lead the Way. We've Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

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 skill 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.

Global Infrastructure Product Services aims to establish and reinforce a culture of effective metrics, data-driven business processes, architecture simplification, and cost transparency.

A successful Data Engineer knows that delivering on that promise takes foresight, planning and agility. Our Data Engineers know how to use the latest technology to design, evaluate, debug and manage the data that leads to better decisions, maximum value, and higher customer satisfaction.

Let’s build on what you know.

If you have proficiency and experience with crafting, developing, trouble shooting, debugging, evaluating, modifying, deploying and documenting data components (data architecture, logical and physical data models, database objects and database administration) that meet the needs of customer-facing applications, business applications, and/or internal end user applications, let’s find business advantages hiding in plain sight. Here’s just some of what you’ll do\:

• Design and build a robust data model architecture to support optimal data processing and standardized metric definitions
• Review data requirements / data stories and corresponding data sources and data architecture
• Document data requirements / data stories and maintain data models to ensure seamless integration into existing data architectures
• Create and maintain detailed information about the data being stored
• Support management of data assets as per enterprise standards, guidelines and policies
• Review and understand processing requirements inclusive of data and transaction volumes, scalability, security and performance requirements
• Assist in building and improving the database design and infrastructure required to support the Technology Infrastructure portfolio
• Communicate and work closely with business and product teams to support changes and implementation
• Design, develop, and maintain reports, processes and KPIs to drive business decisions
• Function as an active member of an agile team through consistent development practices (tools, components, and documentation)
• Find opportunities to adopt innovative technologies
• Take part in reviews of individual or team contributions
• Work on prioritized/assigned features for ongoing sprints
• Communicate and work reciprocally with business and product teams to support changes and implementation

Are you up for the challenge? Here’s what you should have\:

• 4 years of data architecture and MS SQL database experience in a professional environment
• Expertise in an analytical language (Python, R or the equivalent) preferred; knowledge of SAS is a plus but not required.
• Demonstrable business report creation experience utilizing various reporting tools (e.g.\: MS SQL Reporting Services, Tableau, Informatica, Cognos, Microstrategy, PowerBI, etc.)
• Experience with hands-on design and development across one or more database management systems
• Experience with distributed systems, algorithms and applications
• Strong understanding of infrastructure data and data management
• Experience with ServiceNow data and associated data model
• Hands-on expertise with distributed (multi-tiered) systems and relational database design, development, troubleshooting and automated testing
• Strong analytical skills with demonstrable ability to understand and document business data requirements
• Technical knowledge of DBMS products and ecosystem\: storage formats, access algorithms, data management processes, administration, data maintenance, replication, high availability, encryption, etc.
• Proficiency with data structures and associated components
• Basic understanding of Metadata Management and Database Management
• Proficiency with and ability to document business data requirements in complete, accurate, extensible and flexible logical data models using data modeling tools
• Proficiency with creating basic data models using the relevant tools and frameworks
• Basic understanding of XML and schema development/reuse, database concepts, database design
• Proficiency with industry recognized methods, processes and standards
• Familiarity with enterprise infrastructure technologies and components (e.g.; compute, storage, JVMs, containers, networking fundamentals)