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Data Quality Jobs (NOW HIRING)

Vergence

Data Quality Lead

Carmel, IN

The Data Quality Lead is responsible for leading the execution of the Enterprise Data Warehouse (EDW) Data Quality (DQ) controls framework, ensuring data quality is quantifiable, repeatable ...

TPC Wire and Cable

Data Quality Engineer

Macedonia, OH

$103K - $124K/yr

Description The Data Quality Engineer owns the implementation and continuous improvement of data quality across critical business domains. The role ensures data is accurate, consistent, and usable ...

Procom Services

Data Quality Analyst

Dallas, TX

Data Quality Analyst Job Details Responsibility : Define, Design, and Build Data quality management for Customer MDM solutions. Analyze, gather, and propose MDM Process integration with Sales ...

Vergence

Data Quality Lead

Carmel, IN · On-site

The Data Quality Lead is responsible for leading the execution of the Enterprise Data Warehouse (EDW) Data Quality (DQ) controls framework, ensuring data quality is quantifiable, repeatable ...

Figure

Data Quality Manager

San Jose, CA · On-site

$140K - $200K/yr

Data quality is one of the most important and least solved problems in humanoid robotics. The standards, tooling, and methodologies that worked for prior generations of AI, image classification ...

Tek Inspirations LLC

Data Quality Engineer

Montgomery, AL

$113K - $136K/yr

Data Quality Analyst/Data Steward Client: State of AL (Alabama Dept. of Workforce) Note: Need 10+ years of experience as Data Engineer with prior State client experience. In summary: A Data Quality ...

Curant Health

Data Quality Analyst

Smyrna, GA · On-site

Position Summary Curant Health is seeking a highly skilled Data Quality Analyst with strong expertise in validating data accuracy, completeness, and consistency across multiple data sources. This ...

Vrtx

Associate Director, Data Quality

Boston, MA · Hybrid

$160K - $240K/yr

The Associate Director, Data Quality Platform is a senior technology and product leader within the Data & Software Engineering organization, reporting to the Director, Data Governance. This role owns ...

RiseIT Solutions

Data Quality Engineer

Orlando, FL

$120K/yr

Data Quality Engineer Location: Orlando, FL (100% onsite) Type: Direct Hire Position Rate: $120K per year + 8% annual bonus + full benefits + full relocation Education: Bachelor's degree in IT ...

Zortech Solutions

Data Quality Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Quality Engineer Charlotte NC - Look for Nearby candidate as F2F may required here W2 Candidates - with minimum validity of 12 months Need min. 8-10 years of exp. in Data Quality with ETL and ...

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How much do data quality jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for data quality in the United States is $41.44, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $54.33 per hour, depending on experience, location, and employer.

What is the QA analyst salary?

The salary for a QA analyst typically ranges from $50,000 to $80,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications or specialized skills can earn higher wages.

What are the key skills and qualifications needed to thrive in the Data Quality position, and why are they important?

To thrive in a Data Quality role, you need expertise in data analysis, attention to detail, knowledge of data governance, and often a bachelor's degree in a related field such as computer science or information systems. Familiarity with tools like SQL, data profiling software, and data quality management platforms, as well as certifications like CDMP (Certified Data Management Professional), is highly valued. Strong problem-solving abilities, effective communication, and a collaborative mindset help professionals excel in this position. These skills are crucial for ensuring accurate, reliable data that supports business decision-making and overall organizational efficiency.

What is a Data Quality job?

A Data Quality job involves ensuring that data is accurate, consistent, and reliable for business use. Professionals in this role develop and enforce data quality standards, identify and resolve data discrepancies, and implement processes for data validation and cleansing. They often work with databases, data governance frameworks, and analytics teams to maintain high-quality data. This role is essential for organizations relying on data-driven decisions, as poor data quality can lead to incorrect insights and inefficiencies.

What are the typical challenges faced by someone working in a Data Quality role?

Professionals in Data Quality roles often encounter challenges such as identifying inconsistent data sources, addressing missing or inaccurate data, and maintaining data standards as systems and business requirements evolve. Working closely with IT, data analysts, and business stakeholders, Data Quality specialists must resolve data discrepancies while balancing the need for accuracy with project deadlines. These challenges require excellent analytical and troubleshooting skills, as well as the ability to communicate data issues clearly across teams. Overcoming these hurdles is key to ensuring data-driven decisions are based on trustworthy information.

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What cities are hiring for Data Quality jobs? Cities with the most Data Quality job openings:
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Data Quality jobs near you
Infographic showing various Data Quality job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $86,188 per year, or $41.4 per hour.
Data Quality Consultant

Data Quality Consultant

Cognizant Technology Solutions

Richmond, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Cognizant rating

7.5

Company rating: 7.5 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants

Job description

About the role
As a Data Quality Consultant, you will make an impact by strengthening data governance and enhancing data quality for a leading automotive retailer. You will be a valued member of the data governance team and work collaboratively with business stakeholders, technical teams, and external vendors to ensure high-quality, reliability, and trusted data.
In this role, you will:
  • Implement comprehensive data quality rules using the DQLabs.ai SaaS platform and Snowflake to improve data accuracy, completeness, uniqueness, and integrity.
  • Configure out-of-the-box rules and develop custom SQL-based data quality rules for enterprise-critical datasets.
  • Collaborate with cross-functional stakeholders to define key data quality metrics and align rule implementations with business needs.
  • Contribute to designing and scaling a robust data quality framework supporting enterprise-wide data governance initiatives.
  • Conduct extensive end-user testing to identify bugs, usability issues, and improvement opportunities in the DQLabs platform. Create and execute test cases that replicate real-world workflows and validate vendor fixes.

Work model: Remote
We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in applicable regions. Regardless of your working arrangement, we are here to support a healthy work-life balance through our wellbeing programs.
The working arrangements for this role are accurate as of the date of posting and may change based on project assignments, business needs, and client requirements. We will always communicate expectations clearly.
What you need to have to be considered
  • Hands-on experience implementing data quality rules using DQLabs.ai, Snowflake, or similar data quality/governance platforms.
  • Strong SQL expertise for developing custom data quality rules and validations.
  • Experience working with enterprise data governance, data quality metrics, and data management best practices.
  • Ability to collaborate with business and technical stakeholders to translate requirements into actionable DQ rules.
  • Experience performing structured system or platform testing, including defect identification, documentation, and resolution follow-up.

These will help you stand out
  • Experience working in a large-scale enterprise or regulated industry (automotive, financial services, retail, etc.).
  • Familiarity with master data management (MDM), metadata management, or enterprise data governance frameworks.
  • Previous experience partnering with SaaS vendors on product enhancements and issue resolution.
  • Knowledge of Snowflake best practices, cloud data ecosystems, and data modeling.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply even if you meet only the minimum requirements. Think about your transferable experiences and unique strengths that make you a great fit for this role.
Salary and Other Compensation:
Applications will be accepted until June 14, 2026.
The annual salary for this position is between $ 115,000 - $ 130,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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