2027 Technology Summer Internship – Early Careers (Data Engineering)

About the role

Data Engineering Interns join Wells Fargo’s 10-week 2027 Technology Internship Program, contributing to enterprise-scale data pipelines, platforms, APIs, and data products. The experience includes structured training, mentorship, networking, cloud and AI-enabled engineering exposure, and potential consideration for the following year’s full-time Technology Analyst Program in the internship’s market.

Program

• Complete a 10-week internship running from June through August 2027.
• Gain exposure to enterprise data platforms, cloud technologies, AI-enabled engineering, and modern development workflows.
• Receive structured training, mentorship, and networking opportunities with senior technology leaders.
• Qualified participants may be considered for the following year’s full-time Technology Analyst Program in the same market.

Responsibilities

• Design, develop, test, and maintain scalable data pipelines, integration frameworks, and enterprise data products.
• Build APIs, services, and solutions to ingest, transform, validate, and distribute structured and unstructured data.
• Apply testing, code reviews, version control, automation, CI/CD, observability, and software engineering practices.
• Use approved generative AI tools and prompt engineering while following confidentiality, governance, and data-handling standards.
• Review AI-generated code and artifacts with senior engineers; support intelligent data capabilities and emerging AI applications.
• Develop data models, metadata, quality controls, lineage, monitoring, and governance solutions with technology and business teams.

Requirements

• At least six months of work experience, or equivalent experience through training, military experience, or education.
• Currently pursuing a bachelor’s degree in Data Science, Computer Science, Computer Engineering, or related STEM field.
• Expected bachelor’s degree graduation between December 2027 and June 2028.
• Knowledge of Python, SQL, data structures, algorithms, object-oriented programming, software development, and data engineering concepts.
• Exposure to AI tools, prompt engineering, responsible AI, machine learning, cloud technologies, APIs, governance, or data visualization.
• Strong problem-solving, communication, collaboration, initiative, curiosity, and ability to work independently in fast-paced environments.

Work Details

• Hybrid schedule requires onsite presence in Charlotte, North Carolina; Irving, Texas; or Iselin, New Jersey.
• Applicants must pass the required technology skills assessment.
• The position is not eligible for visa sponsorship; candidates must already be authorized to work for any U.S. employer.
• Location placement depends on business needs, and future Technology Analyst Program placement aligns with the internship location.
• The posting may be removed before the stated deadline because of application volume.