Software Engineer, Data Engineer

August 7, 2024

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Job Description

About Wells Fargo Technology Internship Program

Wells Fargo is seeking talented individuals to join its 2025 Technology Internship Program. This program provides a ten-week immersive experience designed to equip undergraduate students with a blend of business and technical insights, fostering their professional development.

Program Highlights:

Hands-on experience: Interns will engage in relevant work assignments, real-world training, and group projects, gaining practical experience.
Communication skills refinement: The program focuses on enhancing communication skills, vital for professional success.
Exposure to key leaders: Interns will connect with and learn from senior leaders within the organization.
Professional development: Participants benefit from informative learning sessions, coaching, and networking opportunities, preparing them for 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 replace older ones.
• Collaborate with other teams to ensure application integration and data integrity.
• Partner with enterprise architecture, product management, and partner teams to drive technical evolution.
• Work in an Agile (Scrum/Kanban) environment.

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

Data Engineer:

Responsibilities:
• Create and maintain reusable frameworks, data warehouses, and analytics environments.
• Develop and leverage common design patterns across traditional and big data solutions.
• Contribute to data integration work, including data modeling, maintaining data warehouses, writing scripts for data integration and analysis.
• Build and maintain optimized and highly available data pipelines for enhanced analysis and reporting.
• Troubleshoot and resolve data engineering issues, ensuring compliance with data information policies and procedures.

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