2027 Technology Summer Internship – Early Careers (Data Engineering)

About this role:

Wells Fargo is seeking aspiring Data Engineers to join the 2027 Technology Internship Program.

 

Program Overview:

The Wells Fargo Technology Internship Program provides participants with a 10-week experience designed to immerse students in enterprise-scale data engineering, platform development, and modern software engineering practices. Participants will help build and maintain data products, pipelines, and technology foundations that power critical business processes, applications, analytics, and AI capabilities across Wells Fargo. The program blends technical execution with business context, emphasizing modern engineering principles, responsible AI adoption, data quality, and scalable technology solutions.

 

Participants will:

• Work hands-on with impactful, production-aligned data engineering and platform initiatives
• Gain exposure to enterprise data platforms, AI-enabled engineering practices, cloud technologies, and modern development workflows
• Participate in structured training, mentorship, and networking opportunities with senior technology leaders

 

Upon successful completion of the internship, qualified candidates may be considered for a full-time position in the Technology Analyst Program the following year, within the same market where the internship was completed. #earlycareers

In this role, your responsibilities as a Data Engineering Intern may include:

 

Data Engineering & Platform Development

 

• Design, develop, test, and maintain scalable data pipelines, integration frameworks, and data products supporting enterprise platforms
• Build and enhance reusable APIs, services, and data solutions that enable trusted and efficient consumption of data across applications and business functions
• Apply software engineering fundamentals including testing, code reviews, version control, automation, CI/CD, and observability practices
• Develop solutions to ingest, transform, validate, and distribute large volumes of structured and unstructured data
• Partner with software engineers, architects, and product teams to deliver secure, reliable, and maintainable technology solutions
• Support platform modernization efforts through engineering best practices, automation, and reusable frameworks
• Contribute to cloud-based and distributed computing platforms supporting enterprise-scale data workloads

 

AI-Enabled Data Engineering & Modern Development Practices

 

• Leverage enterprise-approved generative AI tools (e.g., coding agents) and enterprise AI platforms to accelerate engineering activities, including:
  • Code development, refactoring, and optimization
  • Automated testing and validation
  • Data transformation and pipeline development
  • Technical documentation generation
  • Rapid prototyping and solution design exploration within approved environments
• Apply prompt engineering techniques to improve the quality, reliability, and efficiency of AI-assisted outputs while adhering to data handling, confidentiality, and governance standards
• Partner with senior engineers to review, validate, and govern AI-generated code, designs, and technical artifacts
• Contribute to AI-augmented engineering workflows including automated documentation, code review assistance, testing acceleration, and developer productivity tooling
• Support development of intelligent data capabilities such as anomaly detection, automated quality monitoring, metadata enrichment, and predictive insights in alignment with Model Risk Management (MRM) guidelines and regulatory requirements
• Explore emerging AI and machine learning technologies and their application within enterprise-scale data platforms and engineering ecosystems

 

Data Reliability, Governance & Business Enablement

 

• Support development and maintenance of enterprise data models, metadata management processes, and data architecture standards
• Implement data quality controls, monitoring solutions, lineage capabilities, and validation frameworks to improve trust and reliability
• Assist with data governance initiatives focused on data integrity, consistency, security, risk management, and policy adherence
• Partner with technology and business teams to improve accessibility, discoverability, and usability of enterprise data assets
• Contribute to standards and best practice for enterprise-scale data engineering, architecture, and platform operations
• Assist in identifying opportunities to improve operational insights and business outcomes through scalable engineering solutions

 

Program Duration: June 2027 – August 2027 (10 weeks)

 

Required Qualifications:

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

 

Desired Qualifications:

• Currently pursuing a bachelor's degree in Data Science, Computer Science, Computer Engineering, or a related STEM field with an expected graduation between December 2027 and June 2028
• Foundational knowledge of Python, SQL, data structures, algorithms, and object-oriented programming concepts
• Familiarity with software development lifecycle practices including version control, testing, deployment, and CI/CD pipelines
• Demonstrated exposure to AI tools or AI-assisted engineering workflows (e.g., Copilot, code assistants, enterprise AI platforms)
• Familiarity with prompt engineering concepts, responsible AI principles, and AI governance practices
• Experience or coursework involving machine learning, artificial intelligence, statistical modeling, or advanced analytics concepts
• Interest in how AI is transforming data engineering, software development, platform operations, and developer productivity
• Exposure to data engineering concepts including data pipelines, distributed computing, data modeling, or large-scale data environments
• Understanding of cloud technologies, APIs, data services, and modern application architectures
• Experience working with structured and unstructured data through coursework, research projects, internships, or other relevant experiences
• Basic understanding of data governance, data quality, metadata management, or regulatory compliance principles
• Strong problem solving and interpersonal skills, including the ability to articulate technical challenges and recommend solutions
• Exposure to data visualization and reporting tools such as Tableau, Power BI, Grafana, SAS, or similar technologies
• Demonstrated ability to work effectively both independently and within collaborative, fast-paced environments
• Energetic self-starter who proactively takes initiative, acts with urgency, remains curious, and demonstrates a passion for 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

 

Job Expectations:

• Position will require onsite presence at one of the required locations listed below in a hybrid work schedule
• Must take and pass required technology skills assessment
• This position is not eligible for Visa sponsorship

 

Program Locations*:

• Charlotte, NC
• Irving, TX
• Iselin, NJ

*Location placement is determined by business needs and location placements within the full-time Technology Analyst Program will align to the location of the internship.

 

Pay Range:

• NC (Charlotte): $48.08 Hourly
• TX (Irving): $48.08 Hourly
• NJ (Iselin): $60.10 Hourly

Wells Fargo only considers candidates who are presently authorized to work for any employer in the United States and who do not require work visa sponsorship from Wells Fargo now or in the future in order to retain their authorization to work in the United States.

 

Based on the volume of applications received, this job posting may be removed prior to the indicated close date. After submitting your application, please monitor your e-mail for future communications.

Pay Range
 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $38.46 - $63.46

Posting End Date:

9 Nov 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

 

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.