Campus Undergraduate Summer Internship Program - 2027 Data Engineer, Enterprise Technology Services- Phoenix, AZ

American Express
Phoenix
Workplace: HybridInternshipUSD 24.05 - 63 hourlyFunction: Solutions Engineering & Sales EngineeringEducation: bachelorsSkills: ["Communication","Collaboration","Organization","Learning agility","Analytical thinking"]

Work with guidance from peers and leaders to review data requirements and support the design, development, testing, and improvement of data pipelines and database infrastructure. Build foundational data-engineering capabilities around modeling, integration patterns, and scalable processing, while using AI-enabled tools for development and validation. Collaborate in an Agile team with product, business, architecture, and engineering partners to improve pipeline reliability, data quality, and observability.

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FursaFursa
American Express
American Express
1 week ago

Campus Undergraduate Summer Internship Program - 2027 Data Engineer, Enterprise Technology Services- Phoenix, AZ

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Work with guidance from peers and leaders to review data requirements and support the design, development, testing, and improvement of data pipelines and database infrastructure. Build foundational data-engineering capabilities around modeling, integration patterns, and scalable processing, while using AI-enabled tools for development and validation. Collaborate in an Agile team with product, business, architecture, and engineering partners to improve pipeline reliability, data quality, and observability.
Location: Phoenix
Workplace: Hybrid
Employment Type: Internship
Job Function: Solutions Engineering & Sales Engineering
Seniority: Intern level

Key Responsibilities

  • •Review data requirements, sources, flows, and models with guidance to support integration and alignment with data architecture.
  • •Support the design, development, testing, and improvement of data pipelines, database infrastructure, and integration patterns.
  • •Assist with database development and support across relational, non-relational (NoSQL), Big Data, and cloud-native data platforms.
  • •Apply Big Data concepts such as partitioning, indexing, storage patterns, performance tuning, and scalable processing under guidance.
  • •Collaborate in an Agile team and use AI enabled tools for development and validation while supporting monitoring, observability, data preparation, and continuous improvement.

Pay and Benefits

Salary: USD 24.05 - 63 hourly
Perks:Annual BonusCounseling

Key Requirements

  • •Currently enrolled in a full-time Bachelor’s degree program in a technical field (e.g., Computer Science, Computer Engineering, Information Systems, Data Engineering, Data Science, or Engineering).
  • •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, models, pipelines, database systems, storage formats, and architecture patterns.
  • •Strong communication, collaboration, organization, and learning agility to work effectively in a team environment.
Experience:Data engineeringDatabasesCloud data toolingBig DataSoftware engineering
Education:Bachelor's in Computer Science, Computer Engineering, Information Systems, Data Engineering, Data Science, Engineering
Skills:CommunicationCollaborationOrganizationLearning agilityAnalytical thinking
Tech Stack:SQLPythonJavaBigQueryPostgreSQLOracleMS SQL ServerDB2HBaseHiveMongoDBCassandraRedisCouchbaseSpannerGCPAWSAzureAgileScrum

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

American Express
Provides global payment, credit, and travel-related financial services for consumers and businesses. Best known for its charge and credit cards, merchant payment network, and premium customer rewards and servicing.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York City, United States
Founded: 1850
WebsiteLinkedIn