American Express is hiring for the Campus Undergraduate Full-Time Analyst – 2027 Data Engineer I, Enterprise Technology Services position in Phoenix, Arizona, United States. This entry-level graduate role involves working with data pipelines, database systems, data integration, and data quality processes to support the company’s business and technology operations.
The position follows a hybrid work arrangement and is designed for candidates pursuing careers in data engineering and related technical fields.
American Express Data Engineer I 2027 – Job Overview
| Category | Information |
| Company | American Express |
| Official Job Title | Campus Undergraduate Full-Time Analyst – 2027 Data Engineer I, Enterprise Technology Services |
| Location | Phoenix, Arizona, United States |
| Work Mode | Hybrid |
| Employment Type | Full-time |
| Graduation Period (Preferred) | December 2026 – June 2027 |
About – American Express Data Engineer I 2027
American Express’s Enterprise Technology Services organization manages technology capabilities and platforms that support business operations around the world. Its responsibilities span technology engineering, architecture, infrastructure, enterprise platforms, digital product development, information security, technology risk, data governance, and enterprise AI platforms.
The organization also provides 24-hour support, seven days a week, to help maintain a consistent, high-quality experience for customers and colleagues.
As a Data Engineer I, the selected graduate will contribute to projects focused on making data accessible, reliable, secure, and suitable for business use. Work may cover database systems, data models, data pipelines, Big Data technologies, cloud-native data tools, production support, data quality, and governance.
The position involves collaboration with engineers, architects, product teams, data professionals, and business stakeholders.
Key Responsibilities
The main responsibilities of the Data Engineer I position include the following:
- Data pipeline engineering: Assist with designing, developing, testing, and refining data pipelines, database infrastructure, and integration methods.
- Data requirements and architecture: Examine data sources, flows, mappings, requirements, and models to help ensure technical solutions align with business objectives and data architecture.
- Database development: Support relational, non-relational, NoSQL, Big Data, and cloud-native data platforms.
- Data performance and scalability: Apply foundational concepts such as indexing, partitioning, storage patterns, performance tuning, data quality checks, and scalable processing under guidance.
- Team collaboration: Work with business, product, architecture, analytics, and engineering teams within an Agile environment.
- Monitoring and issue resolution: Contribute to monitoring, observability, troubleshooting, technical documentation, data preparation, and continuous improvement to strengthen pipeline reliability and data quality.
- Data preparation and maintenance: Participate in data modeling, ETL, data validation, source-to-target documentation, and data maintenance activities.
- Security and governance: Follow engineering standards and established practices for privacy, security, documentation, and data governance to protect sensitive information and encourage responsible data use.
Minimum Eligibility Requirements
Candidates must meet the following educational and technical criteria:
Educational Qualification
Applicants must have completed a bachelor’s degree in one of these fields before the full-time employment start date:
- Computer Science
- Computer Engineering
- Information Systems
- Data Engineering
- Data Science
- Engineering
- Another technical field
Programming and Computer Science Fundamentals
Candidates should have:
- Basic knowledge of SQL.
- Familiarity with at least one programming language, such as Python or Java.
- An understanding of data structures, algorithms, debugging, software testing, and problem-solving.
- Familiarity with data requirements, data models, data pipelines, database systems, storage formats, and architecture patterns that support business and product objectives.
- A demonstrated interest in data engineering, databases, data platforms, analytics, cloud data tooling, Big Data, or software engineering.
- Strong communication, teamwork, organizational skills, attention to detail, and the ability to learn quickly.
Preferred Qualifications and Technical Knowledge
The following qualifications are preferred and may help applicants demonstrate their suitability for the position.
Graduation Timeline
– Students with a graduation date between December 2026 and June 2027 are preferred.
Database Technologies
Knowledge of relational and non-relational database concepts is beneficial. Relevant areas include:
- Data modeling and indexing
- Partitioning and replication
- High availability and encryption
- Performance tuning and data maintenance
Familiarity with Big Data, NoSQL, and cloud-native data platforms is also preferred. Examples listed include:
- HBase and Hive
- MongoDB and Cassandra
- Redis and Couchbase
- BigQuery and Spanner
- PostgreSQL and Oracle
- MS SQL Server and DB2
- Similar database or data platform technologies
Data Architecture and Engineering
Applicants may benefit from an understanding of:
- Distributed systems and multi-tier architectures
- Scalable storage patterns
- Online Transaction Processing (OLTP)
- Online Analytical Processing (OLAP)
- Production support concepts
- Data modeling and preparation
- ETL and data validation
- Data lineage, documentation, and access patterns
- Data quality practices
Analytics and Business Intelligence
An interest in preparing and organizing data for analytics, business intelligence, reporting, operational insights, and data-driven decisions is advantageous.
Software Delivery Practices
Familiarity with software development and delivery methods such as Agile, Scrum, Test-Driven Development (TDD), Continuous Integration and Continuous Delivery (CI/CD), version control, and code reviews is preferred.
Data Governance and Security
Candidates should ideally be familiar with data governance principles covering validation, privacy, data lineage, quality management, security, and the protection of sensitive information.
About Enterprise Technology Services
The Enterprise Technology Services organization supports American Express’s global technology environment. Its work includes maintaining core platforms and infrastructure, managing technology risks, supporting enterprise data governance, and developing digital and AI capabilities.
The Data Engineer I position contributes to this broader work by supporting data systems and processes that business, product, analytics, and technology teams depend on.
Location and Work Arrangement
- Location: Phoenix, Arizona, United States
- Work model: Hybrid
- Program: Campus Undergraduate Full-Time Analyst – 2027
- Preferred graduation period: December 2026 to June 2027
How to Apply for American Express Data Engineer I 2027?
If you’re Interested, Kindly Click the Apply Now button below.
Pingback: Studying in the US: Best and Worst Parts, Career Opportunities, and Networking Advice in 2026 - Sharmilan Vipokan