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Data Quality Consultant Jobs (NOW HIRING)

Select Minds LLC

Data Quality Engineer

Dallas, TX · On-site

$62 - $65/hr

Data Quality Engineer (Databricks, Kafka, AWS) Location: Dallas, TX (Hybrid - 3 days onsite) Job ... consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ...

CGI Inc.

Data Quality Analyst

Raleigh, NC · On-site

Data Quality Analyst Category: Testing/Quality Assurance Main location: United States, North ... Come join our team-one of the largest IT and business consulting services firms in the world.

Collabera

Data Quality Analyst

Plano, TX · On-site

For consultants and employees, Collabera offers an enriching experience that promotes career growth ... CW Customer Data Quality Analyst Location: Plano, TX Duration: 6+ Months Pay Rate: OPEN to discuss ...

Mingle Health

Quality Program Consultant

$50K - $70K/hr

The Quality Program Consultant also plays a vital role in the acquisition of client data from ... multiple sources and assists with our internal file processing to get this data loaded into a ...

N Consulting Limited

$120 - $150/hr

# SAP Business Data Cloud Consultant at N Consulting LtdJOB DETAILS Role Title: SAP Business Data ... • Ensure data quality, security, and compliance standards are met • Provide technical ...

New

Data Meaning

Lead Data Architect

Boca Raton, FL · Remote

... high-quality consulting services throughout the US and beyond. Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management. We have a ...

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Data Quality Consultant information

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How much do data quality consultant jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data quality consultant in the United States is $38.08, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $50.48 per hour, depending on experience, location, and employer.

What is a data quality consultant?

A Data Quality Consultant is a professional who specializes in assessing, improving, and maintaining the quality of data within an organization. They analyze data processes, identify inconsistencies or errors, and recommend strategies to ensure data accuracy, completeness, and reliability. These consultants often implement data governance policies, perform data cleansing, and help organizations comply with data standards and regulations. Their work is essential for organizations that rely heavily on data-driven decision making.

What are some common challenges data quality consultants face when implementing data governance frameworks?

Data Quality Consultants often encounter challenges such as resistance to change from stakeholders, inconsistent data standards across departments, and legacy systems with poor documentation. Successfully implementing a data governance framework requires strong communication skills and the ability to bridge gaps between technical teams and business users. Consultants must also prioritize issues and develop tailored solutions that balance organizational goals with practical data quality improvements.

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

AspectData Quality ConsultantData Analyst
Primary FocusImproving data accuracy, consistency, and integrity across systemsAnalyzing data sets to identify trends, patterns, and insights
Skills & CertificationsData management, data governance, SQL, certifications like CDMPData analysis, visualization, SQL, Excel, statistical tools
Work EnvironmentData governance teams, IT departments, consulting firmsBusiness units, analytics teams, reporting departments

While both roles work with data, a Data Quality Consultant focuses on ensuring data accuracy and integrity, often across multiple systems, whereas a Data Analyst interprets data to generate insights and support decision-making. The roles are complementary but distinct in their core objectives.

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

To thrive as a Data Quality Consultant, you need a strong understanding of data management principles, data governance, and analytics, often supported by a degree in information systems, computer science, or a related field. Familiarity with tools such as SQL, data profiling software, data quality assessment platforms, and certifications like DAMA or CDMP is typically required. Excellent problem-solving skills, communication, and attention to detail are essential soft skills for collaborating with stakeholders and ensuring data integrity. These skills are vital to ensure organizations can trust their data for strategic decision-making and regulatory compliance.
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What are popular job titles related to Data Quality Consultant jobs? For Data Quality Consultant jobs, the most frequently searched job titles are:
Data Quality Consultant jobs near you
Infographic showing various Data Quality Consultant job openings in the United States as of August 2026, with employment types broken down into 65% Full Time, 5% Part Time, and 30% Contract. Highlights an 70% In-person, 15% Hybrid, and 15% Remote job distribution, with an average salary of $79,207 per year, or $38.1 per hour.

Data Quality Analyst

Rootshell Enterprise Technologies, Inc.

Pleasanton, CA • On-site

Full-time

Re-posted 5 days ago

Job description

Hello All,
Greetings from Rootshell Inc.
Rootshell Enterprise Technologies Inc. is a recognized provider of professional IT Consulting services in the US. We are actively seeking Data Quality Analyst for one of our client, Please share your resume with current location & full contact info
Role:Data Quality Analyst
Location:Location: Pleasanton, CA (Onsite)
Job Summary:
QA Strategy and Leadership:
Define and implement robust QA strategies, methodologies, and processes for data engineering projects.
Lead and mentor a team of QA engineers, ensuring alignment with best practices and project goals.
Collaborate with stakeholders to understand data quality requirements and translate them into test plans and cases.
Testing Frameworks and Automation:
Develop and maintain automated testing frameworks for ETL pipelines, data lakes, and data warehouses on Google Cloud Platform, Databricks, and related services.
Design data validation and verification processes to ensure the accuracy and consistency of data across pipelines.
Automate regression, performance, and integration testing to minimize manual efforts.
Data Quality Assurance:
Conduct root cause analysis for data quality issues and drive corrective actions.
Ensure compliance with data governance policies and data security best practices.
Develop data profiling and monitoring dashboards using tools like Google Monitor, Power BI, or custom solutions.
Technical Skills and Qualifications:
GCP Expertise: Proficient in GCP, Dataflow, Big Query, Cloud Composer, and Google Storage services.
Databricks: Experience with Spark-based data engineering workflows, including Delta Lake.
Testing Tools & Frameworks: Strong experience with tools like PyTest, dbt (data build tool), or similar testing frameworks for data pipelines.
SQL and Scripting: Advanced SQL skills for data validation with Python proficiency for automation.
Big Data Knowledge: Knowledge of Big Data processing and distributed computing. Understand the importance of data modelling concepts.
CI/CD: Knowledge of CI/CD pipelines on or GitHub Actions, focusing on data engineering workflows.
Data Governance: Familiarity with data governance tools and concepts such as metadata management, lineage, and data cataloging.
Communication: Excellent communication skills, with the ability to synthesize, simplify, and explain complex problems to different types of audiences, including executives
Regards,
Naveen
Naveen@rootshellinc.com

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