Campus Undergraduate Full-Time Analyst - 2027 Data Engineer I, Enterprise Technology Services- Phoenix, AZ
Role Overview
Join American Express Enterprise Technology Services as a Data Engineer I in a full-time graduate program.
Contribute to reliable, scalable, secure, and well-governed data solutions for business, product, analytics, and technology teams.
The organization supports technology engineering, infrastructure, enterprise data platforms, information security, and related capabilities.
Key Skills for This Role
Full Job Posting
Role Overview
Join American Express Enterprise Technology Services as a Data Engineer I in a full-time graduate program.
Contribute to reliable, scalable, secure, and well-governed data solutions for business, product, analytics, and technology teams.
The organization supports technology engineering, infrastructure, enterprise data platforms, information security, and related capabilities.
Responsibilities
- Work with data requirements, data models, data pipelines, database systems, Big Data patterns, and cloud-native data tooling.
- Support production operations, data quality, and data governance practices.
- Collaborate with engineers, product partners, architects, data practitioners, and business stakeholders.
Minimum Qualifications
- Earn a bachelor’s degree in a listed technical field before the full-time start date.
- Have foundational knowledge of SQL and at least one programming language such as Python or Java.
- Understand data structures, algorithms, debugging, testing, and problem solving.
- Be familiar with data requirements, data models, data pipelines, database systems, storage formats, and architecture patterns.
- Demonstrate interest in data engineering, databases, data platforms, analytics, cloud data tooling, Big Data, or software engineering.
- Bring strong communication, collaboration, organization, attention to detail, and learning agility.
Preferred Qualifications
- Graduate between December 2026 and June 2027.
- Know relational and non-relational database concepts, including indexing, partitioning, replication, encryption, and performance tuning.
- Be familiar with Big Data, NoSQL, or cloud-native platforms such as HBase, Hive, MongoDB, Cassandra, Redis, BigQuery, Spanner, PostgreSQL, Oracle, or MS SQL Server.
- Understand distributed systems, scalable storage, transaction processing, production support, ETL, lineage, documentation, and data quality.
- Be familiar with Agile, Scrum, test-driven development, CI/CD, version control, and code reviews.
- Understand data governance principles involving privacy, lineage, quality, security, and sensitive information protection.
Workplace Information
- The employer describes flexible working models that may be hybrid, onsite, or fully virtual depending on role and business need.
- The provided role description does not specify which working model applies to this position.
Benefits
- Benefits include medical, dental, vision, life insurance, disability coverage, retirement matching, parental leave, wellness support, counseling, and career development.
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