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Technology Summer Internship – Data Engineering
Wells Fargo. Design, develop, test, and maintain scalable data pipelines, integration frameworks, and data products .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates foundational knowledge in Python, SQL, and data structures while applying software engineering practices to develop and maintain scalable data pipelines and APIs. Familiar with AI tools and data governance standards to enhance data quality and operational insights.
Highest-signal resume keywords
Python ProgrammingSQL ProficiencyData Pipeline DevelopmentAI Tools ExposureData Governance Understanding
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data StructuresAlgorithmsObject-Oriented ProgrammingMachine LearningStatistical ModelingData ModelingData Quality ControlsPrompt EngineeringCI/CD PipelinesVersion Control
Soft Skills
Problem-SolvingInterpersonal SkillsCollaboration
Tools & Technologies
TableauPower BIGrafanaSASCloud Technologies
Industry Keywords
Data GovernanceData QualityMetadata ManagementAI GovernanceDistributed Computing
Tech Stack
Tools & technologiesCloudGrafanaPythonSQLTableau
About the role
Key responsibilities & impact- Design, develop, test, and maintain scalable data pipelines, integration frameworks, and data products
- Build and enhance reusable APIs, services, and data solutions
- Apply software engineering practices including testing, code reviews, version control, automation, CI/CD, and observability
- Ingest, transform, validate, and distribute structured and unstructured data
- Partner with software engineers, architects, and product teams
- Support platform modernization through engineering best practices, automation, and reusable frameworks
- Contribute to cloud-based and distributed computing platforms
- Use approved generative AI tools and enterprise AI platforms for coding, refactoring, testing, documentation, prototyping, and solution design
- Apply prompt engineering while following data handling, confidentiality, and governance standards
- Review, validate, and govern AI-generated code, designs, and technical artifacts
- Contribute to AI-augmented engineering workflows and developer productivity tooling
- Support intelligent data capabilities including anomaly detection, quality monitoring, metadata enrichment, and predictive insights
- Explore emerging AI and machine learning technologies for enterprise data platforms
- Support enterprise data models, metadata management, and data architecture standards
- Implement data quality controls, monitoring, lineage, and validation frameworks
- Assist with data governance initiatives involving integrity, security, risk management, and policy adherence
- Improve accessibility, discoverability, and usability of enterprise data assets
- Identify opportunities to improve operational insights and business outcomes
Requirements
What you’ll need- 6+ months of work experience, or equivalent demonstrated through work experience, training, military experience, education
- Currently pursuing a bachelor's degree in Data Science, Computer Science, Computer Engineering, or related STEM field, with 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, version control, testing, deployment, and CI/CD pipelines
- Exposure to AI tools or AI-assisted engineering workflows
- Familiarity with prompt engineering, responsible AI, and AI governance
- Experience or coursework involving machine learning, artificial intelligence, statistical modeling, or advanced analytics
- Exposure to data pipelines, distributed computing, data modeling, or large-scale data environments
- Understanding of cloud technologies, APIs, data services, and modern application architectures
- Experience with structured and unstructured data through coursework, research, internships, or relevant experience
- Basic understanding of data governance, data quality, metadata management, or regulatory compliance
- Strong problem-solving and interpersonal skills
- Exposure to Tableau, Power BI, Grafana, SAS, or similar tools
- Ability to work independently and collaboratively in fast-paced environments
- Must take and pass required technology skills assessment
- Must be presently authorized to work for any employer in the United States and not require visa sponsorship now or in the future
- Involvement in extracurricular enrichment activities such as volunteerism, student organizations, study abroad, leadership, or nonprofit involvement
Benefits
Comp & perks- 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
- Incentive opportunities may be available
- 10-week internship program with structured training, mentorship, and networking opportunities