Campus Undergraduate Full-Time Analyst - 2027 Data Engineer I, Enterprise Technology Services- Phoenix, AZ

American Express
Phoenix
Workplace: HybridFull timeUSD 78,000 - 124,750 annuallyFunction: Solutions Engineering & Sales EngineeringEducation: bachelorsSkills: ["Communication","Collaboration","Organization","Attention to detail","Learning agility"]

Join a full-time graduate program as a Data Engineer I, supporting the design, development, testing, and improvement of data pipelines, database infrastructure, and integration patterns. Review data requirements and mappings to align solutions with data architecture and business needs. Assist with relational/NoSQL and cloud-native platforms, apply data engineering fundamentals under guidance, and support monitoring, observability, troubleshooting, documentation, and data governance practices.

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FursaFursa
American Express
American Express
2 days ago

Campus Undergraduate Full-Time Analyst - 2027 Data Engineer I, Enterprise Technology Services- Phoenix, AZ

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Last checked: 1 hour agoStatus: Live

Job Summary

Join a full-time graduate program as a Data Engineer I, supporting the design, development, testing, and improvement of data pipelines, database infrastructure, and integration patterns. Review data requirements and mappings to align solutions with data architecture and business needs. Assist with relational/NoSQL and cloud-native platforms, apply data engineering fundamentals under guidance, and support monitoring, observability, troubleshooting, documentation, and data governance practices.
Location: Phoenix
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Graduate level

Key Responsibilities

  • •Support the design, development, testing, and improvement of data pipelines, database infrastructure, and integration patterns.
  • •Review data requirements, sources, flows, mappings, and models to 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.
  • •Support monitoring/observability, troubleshooting, documentation, data preparation, ETL, validation, and continuous improvement activities for reliable, well-governed data solutions.

Pay and Benefits

Salary: USD 78,000 - 124,750 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisabilityPaid Leave

Key Requirements

  • •Earn a Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, Data Engineering, Data Science, Engineering, or a related 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 core computer science concepts including data structures, algorithms, debugging, testing, and problem solving.
  • •Be familiar with data requirements, data models, data pipelines, database systems, storage formats, and architecture patterns.
  • •Show demonstrated interest in data engineering, databases, data platforms, analytics, cloud data tooling, Big Data, or software engineering.
Experience:Data engineeringBig DataNoSQLCloud-native
Education:Bachelor's
Skills:CommunicationCollaborationOrganizationAttention to detailLearning agility
Tech Stack:SQLPythonJavaETLNoSQLBig DataHBaseHiveMongoDBCassandraRedisCouchbaseBigQuerySpannerPostgreSQLOracleMS SQL ServerDB2AgileScrum

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