Software Engineer Data Engineer
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Job Description
About Wells Fargo
Wells Fargo & Company is a multinational financial services company headquartered in San Francisco, California. It is one of the largest banks in the United States, offering a wide range of financial products and services to consumers, businesses, and institutions.
Wells Fargo Technology Internship Program
Wells Fargo’s Technology Internship Program is a ten-week program designed to provide undergraduate students with a blend of business and technical insights. The program offers:
• Orientation and Training: Participants receive an orientation to Wells Fargo and its Technology groups.
• Hands-on Experience: Interns engage in relevant work assignments, real-world training, and group projects.
• Professional Development: The program includes informative learning sessions, coaching, and networking opportunities.
Job Descriptions:
Software Engineer:
• Responsibilities:
• Design, develop, test, and integrate applications.
• Develop enhancements or resolve bugs in existing applications.
• Develop new applications to support the sunsetting of older applications.
• Work with ancillary technologies to support application integration and data integrity.
• Accountable for the technical evolution of services, working in close partnership with enterprise architecture, product management, and partner teams.
• 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)
• Working Environment: Agile (Scrum / Kanban) setting
Data Engineer:
• Responsibilities:
• Create and support reusable frameworks, data warehouses, and analytics environments.
• Leverage common design patterns across traditional and big data solutions.
• Contribute to data integration, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis.
• Build and maintain optimized and highly available data pipelines for deeper analysis and reporting.
• Resolve moderately complex issues to meet data engineering deliverables while leveraging data information policies, procedures, and compliance requirements.
• Typical Tech Stacks: Python, MongoDB, MySQL, SQL, AI/ML, Tableau/PowerBI
Note: Roles for Information and Cyber Security teams are posted separately.
