2026 Intern Conversion – 2027 Technology Summer Internship Program

Wells Fargo Bank•Charlotte, NC

3d•Hybrid

About The Position

Wells Fargo is seeking aspiring Engineers to join the 2027 Technology Internship Program. The Wells Fargo Technology Internship Program provides participants with a ten-week orientation and training to Wells Fargo and the Technology groups within our organization. The hands-on experience includes relevant work assignments, real-world training, group projects, refining communication skills and exposure to key leaders. It is designed to provide undergraduate students with a blend of business and technical insights. Professional development is a key theme and includes informative learning sessions, coaching, and networking opportunities.

Requirements

6+ months of work experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Nice To Haves

Successful completion of 2026 Technology Internship Program
Currently pursuing a bachelor’s degree in Computer Science, Computer Engineering or other Technology STEM related majors, with an expected graduation date between December 2027 – June 2028
Demonstrated knowledge and/or experience with: Java, Cloud technology, .NET, Python, SQL or related technical skills
Demonstrated understanding of algorithms, data structures, and developing APIs
Experience in software development shipping cycles (Development, Deploy, Release, Continuous Integration (CI), Continuous Deployment (CD))
Demonstrated experience leveraging AI (Generative and/or Agentic), related tools and concepts (Prompt Engineering, Data Labeling, etc.)
Strong problem solving and interpersonal skills, including the ability to articulate challenges and recommend solutions
Proven ability to work effectively, as well as independently, in a collaborative, change driven atmosphere
Energetic self-starter who proactively takes initiative, acts with urgency, remains curious and has a genuine interest in learning and growth
Involvement in extracurricular enrichment activities through one or more of the following: volunteerism, student organization involvement, study abroad program(s), leadership position(s), non-profit involvement

Responsibilities

Responsible for application design, development, testing, readiness and integration which can include developing enhancements or resolving bugs in existing applications, developing new applications and working with ancillary technologies to support application integration and data integrity.
Create and support reusable frameworks, data warehouses and analytics environments for data engineering and leverage common design patterns across traditional and big data solutions.
Contribute to the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis.
Build and maintain data pipelines.
Accountable for the technical evolution of our services, working in close partnership with enterprise architecture, product management and partner teams.
Typically, will work within an Agile (Scrum / Kanban) setting.
Designs, documents, tests, maintains, and provides issue resolution recommendations for security solutions related to networking, cryptography, cloud, authentication/directory services, email, internet, applications, and/or endpoint security.
Assist more experienced staff with security consulting and moderately complex security projects related to data access, integrity, confidentiality, and business continuity.
Review existing systems security issues, procedures & provide support for testing, emergencies, installations, and conversions.
Design, develop, and run tooling to discover problems in data and applications and report the issues to engineering and product leadership.
Collaborate with data engineering and analytics teams to build scalable data pipelines and integrate diverse data sources.
Clean, transform, and validate large datasets to ensure accuracy and usability.
Interpret and analyze data, generate insights and use analytic tools (Python/SQL) or visualization platforms (Tableau / Power BI) to drive decision making.
Develop and maintain data models, data warehouses, and analytics environments.
Apply statistical and machine learning techniques to uncover insights and support decision-making.
Work with cross-functional teams (Product, Engineering, Finance, etc.) to solve business problems using data.
Document and simplify complex data workflows for scalability.
Support the establishment and maintenance of robust data governance frameworks. This includes assisting with data quality initiatives, ensuring compliance with internal policies and external regulations.
Explore and support the adoption of Artificial Intelligence (AI) and advanced analytics.
Assist in empowering users with AI-driven tools, fostering AI literacy, and exploring AI applications for process automation and defect detection to create business value.
Act as a key participant in developing standards and companywide best practices for engineering complex and large-scale technology solutions for technology engineering disciplines.