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Data Validation Jobs in Chicago, IL (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Validation Risk Manager, you will play a pivotal role within our Risk ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary The Opportunity As a Data Validation Risk Director, within our Risk & Regulatory practice, you will ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Validation Risk - Senior Associate, you will play a pivotal role ...

Data Quality Engineer

Downers Grove, IL · Remote

$114K - $137K/yr

Data Validation and Quality Assurance Develop and execute data validation routines for extracts, transformations, and reporting datasets to ensure completeness, accuracy, consistency, and reliability ...

Data Quality Engineer

Chicago, IL · Remote

$118K - $141K/yr

Data Validation and Quality Assurance Develop and execute data validation routines for extracts, transformations, and reporting datasets to ensure completeness, accuracy, consistency, and reliability ...

Data engineer

Chicago, IL · On-site

$118K - $141K/yr

Familiarity with SQL Server data migration processes, including handling large datasets, managing data consistency, and performing data validation. * Snowflake Data Warehousing: Hands-on experience ...

Perform data validation, reconciliation, and quality checks across trades, positions, holdings, and valuations. * Execute SQL queries to detect data breaks and validate transformation logic.

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Experience in data cleansing, data validation and data wrangling. * Hands-on experience in AWS cloud and AWS native technologies such as Glue, Lambda, Kinesis, Lake Formation, S3, Redshift

Validate data accuracy, completeness, consistency, timeliness, and reconciliation across source-to-target systems * Review and approve data mapping documents, business rules, and transformation logic

Validate data accuracy, completeness, consistency, timeliness, and reconciliation across source-to-target systems * Review and approve data mapping documents, business rules, and transformation logic

Experience in conducting ETL data validation and data integrity tests on the database using SQL queries. * Experience creating business requirements for data migration from source applications to ...

... data validation, and operational KPI reporting. Key Responsibilities • Deliver accurate and timely business intelligence to support Supply Chain, SIOP, planning, and manufacturing operations. • ...

... data validation, and operational KPI reporting. Key Responsibilities · Deliver accurate and timely business intelligence to support Supply Chain, SIOP, planning, and manufacturing operations. · ...

Maintain a high level of accuracy to meet one-for-one data validation checks run by the client team * Complete approximately 20 hours of flexible work per week for the duration of the engagement

Validate system behavior under expected and peak business workloads. * Assess data processing performance and service-level requirements. End-to-End Data Workflow Testing * Design and execute test ...

Senior Data Systems Analyst

Chicago, IL

$88K - $111K/yr

Validate system behavior under expected and peak business workloads. * Assess data processing performance and service-level requirements. End-to-End Data Workflow Testing * Design and execute test ...

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Data Validation information

See Chicago, IL salary details

$23

$53

$80

How much do data validation jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for data validation in Chicago, IL is $53.61, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $65.19 per hour, depending on experience, location, and employer.

What is a data validation?

A Data Validation job involves reviewing, cleaning, and verifying data to ensure accuracy, consistency, and reliability. Professionals in this role check for errors, inconsistencies, and missing information using automated tools and manual techniques. They work with databases, spreadsheets, and software applications to maintain data integrity, often collaborating with analysts and engineers. Their work is critical for making informed business decisions and maintaining regulatory compliance.

What does a data validation do?

A Data Validation professional typically spends their day reviewing large datasets, identifying inconsistencies or errors, and ensuring that all data meets established quality standards. This may involve developing and running automated scripts, maintaining data validation rules, and collaborating with data engineers or analysts to resolve data-related issues. The role often requires documenting validation processes and findings to support transparency and future audits. You can expect to work both independently and as part of a larger data or QA team, making your contributions vital to maintaining reliable business information.

What are the key skills and qualifications needed to thrive in data validation, and why are they important?

To thrive in Data Validation, a strong attention to detail, analytical thinking, and experience with data management or quality assurance processes are essential, often supported by a degree in information technology, statistics, or a related field. Familiarity with database software (such as SQL), spreadsheet tools (like Excel), and data validation or ETL (Extract, Transform, Load) systems, along with relevant certifications, is highly beneficial. Strong problem-solving skills, effective communication, and the ability to work both independently and collaboratively help individuals excel in this role. These skills ensure the accuracy and integrity of organizational data, supporting informed decision-making and operational efficiency.

What is the work of data validation?

Data validation is a key responsibility in data validation roles, involving checking data for accuracy, completeness, and consistency to ensure it meets specified standards. It often requires knowledge of data management tools and techniques to identify errors and prevent incorrect data from entering systems, supporting data quality and integrity.

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

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

What job categories do people searching Data Validation jobs in Chicago, IL look for?

The top searched job categories for Data Validation jobs in Chicago, IL are:

Infographic showing various Data Validation job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $111,500 per year, or $53.6 per hour.

Data Validation Risk - Manager

Pwc

Chicago, IL • On-site

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

The Opportunity
As a Data Validation Risk Manager, you will play a pivotal role within our Risk & Regulatory practice, focusing on the design and execution of innovative strategies for business data validation during ERP implementations. You will utilize skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems, optimizing their operations, and achieving strategic goals.
As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for confirming project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
In this role at PwC, you will analyze and identify the linkages and interactions between the component parts of an entire system, take ownership of projects, and develop skills outside your comfort zone, encouraging others to do the same.
Responsibilities
- Leading data validation and risk management initiatives to support client objectives
- Utilizing advanced analytics techniques to extract insights from complex datasets
- Developing and implementing data quality improvement plans to enhance data integrity
- Managing and mentoring teams to deliver data-driven solutions and meet client expectations
- Conducting exploratory data analysis to identify trends and inform strategic decision-making
- Building and maintaining data pipelines and integration processes for seamless data flow
- Designing and deploying data visualization dashboards using tools like Power BI and Tableau
- Collaborating with stakeholders to address data challenges and optimize business performance
- Applying statistical modeling and predictive analytics to solve complex business problems
- Overseeing the development of scalable data solutions to support client operations
What You Must Have
- At least a Bachelor's degree
- At least 4 years of experience in a public accounting firm or professional services organization
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- Certified Public Accountant or Certified Information Systems Auditor preferred
- Demonstrating proficiency in data validation during ERP implementations
- Manipulating large datasets using Excel, Alteryx, SQL, Python, Databricks, or Snowflake
- Embracing technology and innovation to enhance client delivery
- Mentoring team members to develop skills outside their comfort zone

Travel Requirements

Up to 40%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs 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.

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