Campus Graduate Masters Full-Time Manager - 2027 Data Engineer II, Enterprise Technology Services- Phoenix, AZ As a Data Engineer II in Enterprise Technology Services, you'll join a full-time graduate program and contribute to data engineering initiatives that help teams build reliable, scalable, secure, and well-governed data solutions. Data Engineers help make data available, trustworthy, and useful for business, product, analytics, and technology teams. In this role, you may work with data requirements, data models, data pipelines, database systems, Big Data patterns, cloud-native data tooling, production support, data quality, and data governance practices while collaborating with engineers, product partners, architects, data practitioners, and business stakeholders. Responsibilities Responsibilities & What Type of Work to Expect • Support the design, development, testing, and improvement of data pipelines, database infrastructure, and integration patterns. • Review data requirements, sources, flows, mappings, and models to help align data solutions with data architecture and business needs. • Assist with database development and support across relational, non-relational, NoSQL, Big Data, and cloud-native data platforms. • Apply foundational data engineering concepts such as partitioning, indexing, storage patterns, data quality checks, performance tuning, and scalable processing under guidance. • Collaborate with product, business, architecture, analytics, and engineering partners in an Agile team environment. • Support monitoring, observability, troubleshooting, documentation, data preparation, and continuous improvement activities that strengthen data quality and pipeline reliability. • Contribute to data modeling, ETL, data validation, source-to-target documentation, and data maintenance practices. • Follow engineering, data governance, privacy, security, and documentation practices to help protect sensitive information and support responsible data use. Qualifications Minimum Qualifications • Must have earned a Master's degree in Computer Science, Computer Engineering, Information Systems, Data Engineering, Data Science, Engineering, or another technical field before the full-time start date. • Foundational knowledge of SQL and at least one programming language such as Python or Java. • Foundational understanding of computer science concepts including data structures, algorithms, debugging, testing, and problem solving. • Familiarity with data requirements, data models, data pipelines, database systems, storage formats, and architecture patterns that support business and product goals. • Demonstrated interest in data engineering, databases, data platforms, analytics, cloud data tooling, Big Data, or software engineering. • Strong communication, collaboration, organization, attention to detail, and learning agility with the ability to work effectively in a team environment. Preferred Qualifications • Students must have a graduation date between December 2026 and June 2027. • Knowledge of relational and non-relational database concepts such as data modeling, indexing, partitioning, replication, high availability, encryption, performance tuning, and data maintenance. • Familiarity with Big Data, NoSQL, or cloud-native data platforms such as HBase, Hive, MongoDB, Cassandra, Redis, Couchbase, BigQuery, Spanner, PostgreSQL, Oracle, MS SQL Server, DB2, or similar tools. • Awareness of distributed systems, multi-tier architectures, scalable storage patterns, online transaction processing, online analytical processing, and production support concepts. • Exposure to data modeling, data preparation, ETL, data validation, lineage, documentation, access patterns, and data quality practices. • Interest in data preparation practices that support analytics, business intelligence, reporting, operational insights, or data-driven decision-making. • Familiarity with Agile, Scrum, Test-Driven Development, CI/CD, version control, code reviews, or related software delivery practices. • Awareness of data governance principles, including validation, privacy, lineage, data quality, security, and protection of sensitive information. Our team reviews applications on a rolling basis. We appreciate your patience while we consider your application and will contact qualified candidates regarding next steps. Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions. About the Team We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: • Competitive base salaries • Bonus incentives • 6% Company Match on retirement savings plan • Free financial coaching and financial well-being support • Comprehensive medical, dental, vision, life insurance, and disability benefits • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need • 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) • Free and confidential counseling support through our Healthy Minds program • Career development and training opportunities For a full list of Team Amex benefits, visit our Colleague Benefits Site. The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.