Graduate Data Engineer II — Enterprise Tech Services

Egug; Phoenix (AZ); On-site; USD 90,000 - 130,000; Full time

Job summary

American Express in Phoenix seeks a Data Engineer II to join Enterprise Technology Services. You will contribute to building reliable, scalable, and well-governed data solutions in a full-time graduate program.

Responsibilities include designing data pipelines, reviewing data models, supporting database platforms (relational, NoSQL, cloud-native), and collaborating in an Agile team to ensure data quality and governance.

Qualifications

• Master's degree in CS, CE, IS or related technical field.
• Foundational SQL knowledge and at least one programming language such as Python or Java.
• Strong fundamentals in data structures, algorithms, debugging, testing, and problem solving.
• Familiarity with data requirements, models, pipelines, and cloud data tooling.

Responsibilities

• Design, develop, test, and improve data pipelines and database infrastructure.
• Review data requirements, sources, flows, mappings, and models.
• Assist with database development across relational, NoSQL, and cloud-native platforms.
• Collaborate in an Agile team with product, architecture, analytics, and engineering partners.
• Support monitoring, observability, documentation, data preparation, and data quality.
• Contribute to data modeling, ETL, validation, lineage, and governance practices.
• Follow data governance, privacy, security, and documentation standards.

Skills

SQL

Python/Java

Data engineering basics

Education

Master's degree (CS/CE/IS)

Tools

BigQuery

PostgreSQL

MongoDB

Spark

Job description

American Express in Phoenix seeks a Data Engineer II to join Enterprise Technology Services. You will contribute to building reliable, scalable, and well-governed data solutions in a full-time graduate program.

Responsibilities include designing data pipelines, reviewing data models, supporting database platforms (relational, NoSQL, cloud-native), and collaborating in an Agile team to ensure data quality and governance.