Software Engineer Data Engineer

Job Description

About Wells Fargo Technology Internship Program

Wells Fargo is seeking talented individuals to join their 2025 Technology Internship Program. This ten-week program provides participants with a comprehensive orientation and training experience at Wells Fargo, specifically focusing on their Technology groups.

Here’s what the program offers:

• Hands-on experience: Interns will be given relevant work assignments, real-world training, and group projects.
• Communication skills development: The program emphasizes refining communication skills.
• Exposure to key leaders: Interns will have the opportunity to connect with and learn from key leaders within the organization.
• Business and technical insights: The program aims to provide a balanced understanding of both business and technical aspects.
• Professional development: Interns will benefit from informative learning sessions, coaching, and networking opportunities.

Job Descriptions

The internship program offers placements in two primary roles:

1. Software Engineer

• Responsibilities:
• Designing, developing, testing, readying, and integrating applications.
• Developing enhancements or resolving bugs in existing applications.
• Developing new applications to support the sunsetting of older ones.
• Collaborating with ancillary technologies for application integration and data integrity.
• Leading the technical evolution of services in partnership with enterprise architecture, product management, and partner teams.
• Working 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)

2. Data Engineer

• Responsibilities:
• Creating and supporting reusable frameworks, data warehouses, and analytics environments.
• Leveraging common design patterns across traditional and big data solutions.
• Contributing to data integration, including developing data models, maintaining data warehouses and analytics environments, and writing scripts for integration and analysis.
• Building and maintaining optimized and highly available data pipelines for deeper analysis and reporting.
• Resolving moderately complex issues to meet data engineering deliverables.
• Adhering to data information policies, procedures, and compliance requirements.
• Typical Tech Stacks: Python, MongoDB, MySQL, SQL, AI/ML, Tableau/PowerBI

Important Note: Roles for Information and Cyber Security teams are posted separately.