Technology Intern

USAA•San Antonio, TX

About The Position

USAA’s internship program provides real-world technology experience, professional development, networking events, mentorship, and team-based projects. Interns work on business challenges and build relationships in a collaborative environment. This position is based in San Antonio, Texas; Plano, Texas; or Phoenix, Arizona. Software Engineer Interns explore modern application development using Agile methodologies, cloud technologies, APIs, and full-stack engineering. Under direct supervision and guidance from senior engineers and a mentor, they support projects involving requirements analysis, software design, coding, testing, documentation, reviews, and production issue resolution. Work may involve AI tools and automation. Data Engineer Interns gain hands-on experience with data platforms, cloud technologies, data pipelines, and analytical tools. Under direct supervision and guidance, they support the development and maintenance of data pipelines and learn how data is collected, transformed, governed, and used to address business needs. Tasks may include requirements gathering, data modeling, writing and testing pipeline code, deployment, data quality and lineage practices, pipeline monitoring and troubleshooting, and use of AI tools and automation. The 2027 internship runs from June 2, 2027, through August 13, 2027. The salary range is $27–$36 per hour, with the actual rate varying by location. Interns also receive a stipend to assist with expenses. USAA does not provide visa sponsorship for this role.

Requirements

  • Must be pursuing a degree at an accredited college or university and plan to graduate after the final day of the internship.
  • Currently pursuing a bachelor’s or master’s degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field.
  • Anticipated graduation date between September 2027 and May 2028.
  • Foundational understanding of Java or object-oriented programming concepts.
  • Foundational understanding of Python.
  • Foundational understanding of data structures and algorithms.
  • Foundational understanding of software development fundamentals.
  • Foundational understanding of SQL and database concepts.
  • Problem-solving and analytical thinking skills.
  • Strong verbal and written communication skills.
  • Demonstrated leadership through coursework, projects, student organizations, employment, or community involvement.

Nice To Haves

  • Experience with JavaScript, React, or modern web development frameworks.
  • Familiarity with REST APIs.
  • Exposure to Git or version control systems.
  • Exposure to AWS or other cloud technologies.
  • Exposure to Snowflake.
  • Coursework or project experience involving software development.
  • Understanding of Agile development concepts.
  • Interest in AI-assisted development and emerging technologies.

Responsibilities

  • Collaborate with senior engineers to design, develop, code, and test technical solutions.
  • Participate in code and design reviews and learn development standards and best practices.
  • Assist with capturing and analyzing software project requirements and understanding business data needs.
  • Contribute to software testing and implementation across the software development lifecycle.
  • Support development, testing, and deployment of data pipeline code.
  • Learn data management principles, including metadata management, data quality, and data lineage.
  • Assist in troubleshooting production issues, outages, and data pipeline failures under supervision.
  • Monitor data pipeline execution in production.
  • Help organize work to deliver features and solutions.
  • Learn and apply AI tools and automation strategies to improve efficiency and performance.
  • Create and maintain documentation for technical solutions.
  • Participate in Agile ceremonies, including daily stand-ups, and collaborate with project teams.
  • Contribute to projects aligned with USAA’s technology strategy, including EDDT Technology Strategy initiatives for data engineering.

Benefits

  • Comprehensive medical plans.
  • Dental plans.
  • Vision plans.
  • 401(k).
  • Pension.
  • Life insurance.
  • Parental benefits.
  • Adoption assistance.
  • Paid time off program with paid holidays.
  • 16 paid volunteer hours.
  • Wellness programs.
  • Career path planning and continuing education.
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