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Data Quality Intern Jobs in Chicago, IL (NOW HIRING)

Quality Data Engineering Intern

Niles, IL · On-site +1

$16.75 - $21.75/hr

The Quality Data Engineering intern will handle a variety of tasks and projects in the Quality Data Engineering team under supervision of the CQE Niles Associate Staff Managing Engineer. This ...

Quality Data Engineering Intern

Niles, IL · On-site +1

$16.75 - $21.75/hr

The Quality Data Engineering intern will handle a variety of tasks and projects in the Quality Data Engineering team under supervision of the CQE Niles Associate Staff Managing Engineer. This ...

Quality Data Engineering Intern

Niles, IL · On-site +1

$16.75 - $21.75/hr

The Quality Data Engineering intern will handle a variety of tasks and projects in the Quality Data Engineering team under supervision of the CQE Niles Associate Staff Managing Engineer. This ...

Quality Data Engineering Intern

Niles, IL · On-site +1

$16.75 - $21.75/hr

The Quality Data Engineering intern will handle a variety of tasks and projects in the Quality Data Engineering team under supervision of the CQE Niles Associate Staff Managing Engineer. This ...

We are seeking an enthusiastic Data-Driven Sustainability Intern to join our dynamic team. The ... And quality doesn't stop at our products. Our talented teams strive for perfection and innovate ...

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Data Quality Intern information

See Chicago, IL salary details

$9

$17

$25

How much do data quality intern jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for data quality intern in Chicago, IL is $17.55, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $19.81 per hour, depending on experience, location, and employer.

What does a data quality intern do?

A Data Quality Intern assists organizations in ensuring the accuracy, consistency, and reliability of their data. They typically help with data validation, cleaning, and analysis tasks to identify and correct errors or inconsistencies in datasets. Interns may also support the implementation of data quality standards and collaborate with data analysts and engineers. Their work helps organizations make better decisions based on trustworthy data.

What are the key skills and qualifications needed to thrive as a data quality intern?

To thrive as a Data Quality Intern, you need a solid understanding of data management principles, attention to detail, and coursework or experience in statistics or computer science. Familiarity with data analysis tools such as Excel, SQL, or Python, and exposure to data quality or ETL platforms, are typically expected. Strong analytical thinking, effective communication, and problem-solving skills help you identify and resolve data inconsistencies. These abilities are crucial for maintaining accurate, reliable datasets that support business decisions and data-driven processes.

What types of projects and responsibilities can a data quality intern expect during their internship?

As a Data Quality Intern, you can expect to work on projects related to data validation, cleansing, and analysis to ensure the accuracy and consistency of company datasets. Your daily tasks may include running data quality checks, identifying discrepancies, collaborating with data engineers or analysts to resolve data issues, and documenting processes. Interns often gain exposure to data management tools and may assist in developing reports that highlight trends or recurring quality concerns. This role provides a hands-on opportunity to learn about data governance and can be a stepping stone to more advanced data-focused positions.

What is the difference between Data Quality Intern vs Data Analyst Intern?

AspectData Quality InternData Analyst Intern
Required CredentialsEnrolled in or recent graduate of a related field (e.g., Data Science, IT, Business)Enrolled in or recent graduate of a related field (e.g., Data Science, Business, Statistics)
Work EnvironmentFocuses on data accuracy, validation, and cleaning within data management teamsAnalyzes data sets to generate insights, reports, and support decision-making
Employer & Industry UsageUsed in industries emphasizing data integrity like finance, healthcare, and techCommon across industries for business intelligence and analytics roles

While both roles involve working with data, a Data Quality Intern primarily focuses on ensuring data accuracy and integrity, whereas a Data Analyst Intern analyzes data to derive insights. The roles often overlap in skills but differ in their core responsibilities and objectives.

What are the most commonly searched types of Data Quality jobs in Chicago, IL?

The most popular types of Data Quality jobs in Chicago, IL are:

What are popular job titles related to Data Quality Intern jobs in Chicago, IL?

For Data Quality Intern jobs in Chicago, IL, the most frequently searched job titles are:

What cities near Chicago, IL are hiring for Data Quality Intern jobs?

Cities near Chicago, IL with the most Data Quality Intern job openings:

Infographic showing various Data Quality Intern job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $36,504 per year, or $17.6 per hour.

Market Information and Data Analytics (MIDA) - Data Quality - Intern - Summer 2027

PRICEWATERHOUSECOOPERS CORPORATE FINANCE LLC

Rosemont, IL

$29.25 - $48/hr

Full-time

Posted 7 days ago


Job description

Industry/Sector

Not Applicable

Specialism

Data Quality Assurance

Management Level

Intern/Trainee

Job Description & Summary

The Opportunity
As an AIT MIDA Data Quality - Intern, you will engage in projects that enhance the accuracy, completeness, and reliability of data, enabling businesses to trust their data for decision-making and reporting purposes. Within our Assurance practice, you will gain exposure to PwC's methodologies and support teams by performing basic tasks and conducting research. This role emphasizes learning and gaining exposure to professional work environments, where you will observe and contribute to the team's success.
As an Intern, you will focus on learning and gaining exposure to PwC's practices. You will support teams with basic tasks, participate in projects, and conduct research while observing professional work environments. This role encourages you to apply a learning mindset, appreciate diverse perspectives, and actively listen and communicate effectively. You will have the opportunity to gather information from various sources to analyze facts and discern patterns, contributing to your development and understanding of the business.
In this role, you will be part of a dynamic environment where each assignment presents unique challenges and opportunities for growth. You are encouraged to ask questions, take initiative, and produce quality work that adds value for clients and contributes to the team's success.
Responsibilities
- Supporting teams in data quality assurance tasks to enhance data accuracy and reliability
- Participating in data error checking processes to identify and correct inconsistencies
- Assisting in the development and implementation of data management plans to maintain data integrity
- Engaging in data profiling activities to gather informative summaries and statistics
- Collaborating with team members to manage independence processes and deliver data analytics for audit compliance
- Observing and learning from experienced professionals to gain exposure to PwC's practices and methodologies
- Contributing to the creation of data quality improvement plans to strengthen data management processes
- Applying a learning mindset to develop skills in data quality assurance and management
What You Must Have
- Currently pursuing or have completed a Bachelor's degree
- At least a 3.0 overall GPA
- Client service intern positions are considered entry-level roles. Candidates are typically in their third year of a four-year degree program or fourth year of a five-year program at the time of application
What Sets You Apart
- Preference for at least one of the following fields of study: Data Analytics and Statistics, Data Processing/Analytics/Science, Finance, Management Information Systems
- Preference for a 3.5 overall GPA
- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
- Demonstrating proficiency in data error checking and integrity
- Participating in data quality assurance testing processes
- Supporting data management and quality improvement initiatives
- Engaging in active listening and communication within teams

Travel Requirements

Up to 20%

Job Posting End Date

September 26, 2026The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.