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Internship Data Validation Jobs (NOW HIRING)

What Makes This Internship Different? What sets this Data Analytics Internship apart is the ... Participate in special projects related to ERP data integration, report validation, and business ...

What Makes This Internship Different? What sets this Data Analytics Internship apart is the ... Participate in special projects related to ERP data integration, report validation, and business ...

What Makes This Internship Different? What sets this Data Analytics Internship apart is the ... Participate in special projects related to ERP data integration, report validation, and business ...

Implement data validation routines and monitor data integrity across systems. Debug and resolve ... Experience: Internship, academic, or project-based experience in data engineering, analytics ...

Implement data validation routines and monitor data integrity across systems. Debug and resolve ... Experience: Internship, academic, or project-based experience in data engineering, analytics ...

Support the documentation, validation, and ongoing maintenance of datasets and reporting tables ... Entrylevel candidates are encouraged to apply; internship, coop, academic project, or early ...

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Execute data preparation, cleansing, and validation processes to ensure data integrity across ... internships, academic projects, or hands-on experience acceptable). Experience working with ...

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Internship Data Validation information

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$42

How much do internship data validation jobs pay per hour?

As of May 31, 2026, the average hourly pay for internship data validation in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Data Validation specialist, and why are they important?

To excel as an Internship Data Validation specialist, you need strong analytical skills, attention to detail, and a foundational understanding of data management, often supported by coursework in statistics or computer science. Familiarity with spreadsheet software (like Excel), database management systems, and data validation tools is usually required. Effective communication, problem-solving abilities, and a proactive attitude are standout soft skills for this role. These skills ensure that data is accurate, reliable, and actionable, which is vital for informed business decision-making.

What are some common challenges faced during a Data Validation internship, and how can they be overcome?

A Data Validation internship often involves dealing with large datasets that may contain inconsistencies, missing values, or errors. One common challenge is ensuring data accuracy while working under tight deadlines, which requires strong attention to detail and effective time management. Interns may also need to learn new validation tools or programming languages quickly. Collaborating closely with data analysts and IT teams can help interns understand best practices and find solutions to data issues. Seeking feedback and asking questions early on can also accelerate the learning process and improve data validation outcomes.

What is an Internship Data Validation role?

An Internship Data Validation role involves assisting organizations in ensuring the accuracy and integrity of their data. Interns in this position typically verify data sets, identify inconsistencies, and help correct errors by following established validation processes. They may use various software tools to conduct checks and collaborate with other teams to maintain data quality. This role is ideal for those looking to gain experience in data management and analytics.

What is the difference between Internship Data Validation vs Data Analyst?

AspectInternship Data ValidationData Analyst
Required CredentialsTypically pursuing or recent graduate, basic technical skillsBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, supervised, entry-level tasksFull-time, professional environment, analytical responsibilities
Employer & Industry UsageInternship programs in tech, finance, healthcareCompanies across industries, data-driven roles
Comparison Search IntentUnderstanding entry-level data validation rolesLearning about data analysis careers

Internship Data Validation focuses on entry-level tasks like verifying data accuracy under supervision, often as part of an internship program. Data Analysts perform comprehensive data analysis, interpret trends, and support decision-making. While both roles involve working with data, internships are training positions, whereas Data Analysts are full-time professionals with broader responsibilities.

More about Internship Data Validation jobs
What cities are hiring for Internship Data Validation jobs? Cities with the most Internship Data Validation job openings:
What are the most commonly searched types of Data Validation jobs? The most popular types of Data Validation jobs are:
What states have the most Internship Data Validation jobs? States with the most job openings for Internship Data Validation jobs include:
Infographic showing various Internship Data Validation job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Engineering Associate - Data Engineering & Analytics

Engineering Associate - Data Engineering & Analytics

Wells Fargo

Iselin, NJ • On-site

$116.30K - $139.60K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 11 days ago


Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 683 frontline employees who took The Breakroom Quiz

60th of 141 rated banks


Job description

About this role:

Wells Fargo is seeking an Engineering Associate within the Chief Operating Office (COO) to support the Fraud AI Platform Data Engineering Team. COO Technology delivers technology solutions and manages application portfolios that support enterprise operations, resiliency, data services, and customer experience, driving modernization and optimization across the organization.

In this role, you will support the development and delivery of data pipelines used for both data storage and feature engineering. You will work alongside Data Engineers, Data Scientists, Data Analysts, and Platform Engineers to build, test, and help deploy data pipelines into production environments. You will also contribute to data validation and verification processes while supporting ETL activities that ensure data is accurate, reliable, and ready for analytics and modeling.

This position is ideal for early-career professionals interested in data engineering, analytics, and large-scale data platforms. You will gain hands-on experience working with enterprise data systems, supporting data pipelines, and collaborating with cross-functional teams to deliver scalable and reliable data solutions that power advanced analytics and decision-making.

This position is part of the Career Opportunities in Development and Engineering (CODE) Program. The CODE program is a two-year engineering development experience designed for individuals who are early in their technical careers. The program is intended for candidates with approximately 6 months to 2 years of hands-on engineering experience.

As a full-time employee in the CODE Program, you'll begin with immersive onboarding and continue with hands-on training, mentorship, and professional development. You'll be part of a collaborative cohort supported by a dedicated program management team, gaining exposure to real-world projects with structured professional development, mentorship, and exposure to a broad range of technologies across the enterprise. Upon successful completion of the program, participants are eligible for promotion and continued employment, subject to business needs and performance expectations.

Note: 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 now or in the future in order to retain their authorization to work in the United States.

In this role, you will:

  • Support infrastructure and cloud engineering initiatives by working with teams to

  • Support the development and maintenance of data pipelines used for analytics, reporting, and feature engineering

  • Assist with building and testing data pipelines and preparing them for deployment into production environments

  • Support data transformation and integration activities, including basic ETL (extract, transform, load) processes

  • Contribute to building and validating model feature jobs used for advanced analytics and data science use cases

  • Assist in developing and maintaining data validation and data quality processes to ensure accuracy and reliability

  • Analyze data and system outputs to identify trends, issues, or opportunities for improvement

  • Support data modeling and data integration efforts, including maintaining data environments used for reporting and analytics

  • Collaborate with Data Engineers, Data Scientists, and other stakeholders to support data-related initiatives

  • Assist in troubleshooting data pipeline issues and support resolution efforts

Required Qualifications:

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

Desired Qualifications:

  • 6+ months of hands-on experience working with data analysis and data engineering concepts, including building or supporting datasets, performing ETL processes, and working with structured data environments through internships, coursework, or realworld projects

  • Experience using SQL and data tools (6+ months) to query, transform, and analyze data, along with exposure to data visualization or reporting tools such as Excel, Power BI, or Kibana to communicate insights

  • Practical experience (6+ months) using Python or a similar scripting language to support data processing, automation, or analytics workflows

  • Familiarity with data pipeline development and data warehouse concepts, including integrating data across systems, validating outputs, and supporting scalable data environments

  • Exposure to distributed data processing technologies, such as Spark, along with experience working in modern data environments or platforms

  • Exposure to cloud or platform technologies (e.g., OpenShift or major cloud providers) and streaming or messaging systems such as Kafka, demonstrated through labs, projects, or internship experience

  • Experience working in Agile or collaborative team environments, including partnering with cross-functional teams to support data initiatives, troubleshoot issues, and deliver solutions

  • Proficiency in Microsoft Office tools such as Excel and Word, managing email and calendars in Outlook, and building presentations in PowerPoint.

  • Experience communicating technical issues or access-related concerns across technical and non-technical teams.

  • Demonstrated ability to manage multiple tasks simultaneously and meet deadlines in academic or professional settings.

  • Bachelor's in computer science or related field preferred but not required.

Job Expectations:

  • The selected candidate for this role must be able to begin employment by July 12, 2026, in a fulltime capacity.

  • This position is required to work from the designated posted office location and must be able to meet all expectations of the current hybrid work schedule, including regular inoffice attendance as defined by the team and program requirements.

  • Actively engage in the two-year CODE Program, including participation in training, mentorship, networking events, and career development activities.

  • Relocation assistance is not provided for this role.

  • This position is not eligible for Visa sponsorship.

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. VisitBenefits - 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

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.

$28.85 - $52.40

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. VisitBenefits - 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:

25 May 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, visitDisability 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.


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About Wells Fargo

Sourced by ZipRecruiter

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1852

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