2027 Technology Summer Internship – Early Careers (Data Engineering)
Compensation
Not disclosed
Location
Charlotte, Mecklenburg County
Work setup
Hybrid
Seniority
Intern
Employment
Internship
Experience
Not specified
Category
Data engineering
Posted
Skills
accessibility
ai
ai-enablement
analytics
anomaly-detection
api
automation
ci-cd
cloud
data-engineering
data-governance
data-modeling
data-pipelines
data-quality
data-science
data-visualization
distributed-computing
generative-ai
grafana
machine-learning
metadata-management
networking
observability
oop
powerbi
prompt-engineering
prototyping
python
regulatory-compliance
sas
solution-design
sql
tableau
test-automation
version-control
Full description
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
2027 Technology Summer Internship – Early Careers (Data Engineering) at Wells Fargo Bank (Charlotte, Mecklenburg County) — aijobsearch
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
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement
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.