Software Engineer, Data Engineer

Job Description

About Wells Fargo Technology Internship Program:

Wells Fargo is actively seeking talented individuals to join their 2025 Technology Internship Program. This ten-week program offers a unique blend of hands-on experience, professional development, and exposure to key leaders within Wells Fargo’s Technology groups.

The program is designed to provide undergraduate students with valuable insights into both business and technical aspects of the company. Participants will receive orientation and training on Wells Fargo’s operations and technologies, engage in relevant work assignments, participate in real-world training sessions, and contribute to group projects.

The program emphasizes professional development through informative learning sessions, coaching, and networking opportunities, ensuring interns gain valuable skills and connections for their future careers.

Job Description:

Software Engineer:

• Responsibilities:
• Design, develop, test, and integrate applications.
• Develop enhancements and resolve bugs in existing applications.
• Create new applications to support the sunset of older ones.
• Collaborate with ancillary technologies to ensure application integration and data integrity.
• Lead the technical evolution of services in close partnership with enterprise architecture, product management, and partner teams.
• Work within an Agile (Scrum/Kanban) environment.

• Typical Tech Stacks: Java, .Net Core/ASP.Net, UI Frameworks (ReactJS, Node.js, Angular JS, JQuery, JavaScript), Spring Boot, GitHub, TDD/BDD, API, Microservices, Jenkins, Docker, Cloud Technologies (PCF, Azure, Google)

Data Engineer:

• Responsibilities:
• Create and support reusable frameworks, data warehouses, and analytics environments for data engineering.
• Utilize common design patterns across traditional and big data solutions.
• Contribute to data integration by developing data models, maintaining data warehouse and analytics environments, and writing scripts for data integration and analysis.
• Build and maintain optimized and highly available data pipelines to facilitate deeper analysis and reporting.
• Resolve moderately complex issues to meet data engineering deliverables while adhering to data information policies, procedures, and compliance requirements.

• Typical Tech Stacks: Python, MongoDB, MySQL, SQL, AI/ML, Tableau/PowerBI

Note: Information and Cyber Security roles are posted separately.