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Data Quality Consultant Jobs (NOW HIRING)

Data Governance & Quality Consultant Seattle, WA / Remote We are seeking a Data Governance Consultant to drive enterprise-level data integrity and compliance within a large-scale financial services ...

Data Governance & Quality Consultant Seattle, WA / Remote We are seeking a Data Governance Consultant to drive enterprise-level data integrity and compliance within a large-scale financial services ...

Head of Data Quality

Redwood City, CA · On-site

$280K - $350K/yr

About the Role Snorkel AI is hiring a Head of Data Quality to build and own the quality system at ... Background in consulting, engineering, operations, or other roles that demonstrate strong first ...

About the Role Snorkel AI is hiring a Head of Data Quality to build and own the quality system at ... Background in consulting, engineering, operations, or other roles that demonstrate strong first ...

Presbyterian is seeking a dedicated Clinical Quality Consultant to join our team at Lincoln County ... Support programlevel performance improvement by analyzing data, identifying trends, and ...

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Data Quality Consultant information

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How much do data quality consultant jobs pay per hour?

As of Jul 13, 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, and why are they important?

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.
More about Data Quality Consultant jobs
Who are the top companies hiring for Data Quality Consultant jobs? The top employers for Data Quality Consultant jobs are:
What job categories do people searching Data Quality Consultant jobs look for? The top searched job categories for Data Quality Consultant jobs are:
Infographic showing various Data Quality Consultant job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 87% Full Time, 7% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $79,207 per year, or $38.1 per hour.
Data Governance & Quality Consultant - Healthcare Payer Data

Data Governance & Quality Consultant - Healthcare Payer Data

EmployVision

Philadelphia, PA • On-site

Other

Posted 26 days ago


Job description

We are seeking an experienced Data Governance & Quality Consultant to lead enterprise-wide data governance initiatives and drive data quality excellence. This role requires a strong blend of technical expertise, governance leadership, and stakeholder engagement to ensure the integrity, consistency, and usability of critical business data assets.

The ideal candidate will have deep experience with Collibra, healthcare data management, and modern cloud-based data platforms. You will play a key role in establishing governance frameworks, implementing data quality controls, and fostering a data-driven culture across the organization.

Key ResponsibilitiesData Governance
  • Administer and manage Collibra Data Intelligence Cloud, including Data Catalog, Business Glossary, and Data Lineage.
  • Lead data governance initiatives and facilitate governance council meetings with business and technology stakeholders.
  • Develop, implement, and maintain data governance policies, standards, and procedures.
  • Ensure compliance with regulatory and organizational data management requirements.
  • Drive adoption of data governance best practices and promote a data quality-focused culture across teams.
  • Collaborate with business and IT teams to resolve governance challenges and improve data stewardship processes.
Data Quality
  • Design, implement, and monitor automated data quality rules and controls.
  • Perform data profiling and analysis to identify anomalies, duplicates, inconsistencies, and root-cause issues.
  • Establish and track key data quality metrics, including Accuracy, Completeness, Consistency, Timeliness, Validity, and Uniqueness.
  • Partner with technical teams to remediate data quality issues across data pipelines and platforms.
  • Support data standardization and reconciliation initiatives across critical business domains.
Required Qualifications
  • 10+ years of experience in Data Management, Data Governance, or Data Quality.
  • Extensive experience within the Healthcare industry.
  • 4+ years of hands-on experience with Collibra Data Governance, Data Catalog, and Data Quality solutions.
  • Strong knowledge of healthcare payer data, including claims, eligibility, provider, and related data domains.
  • Advanced SQL skills and experience performing complex data analysis and profiling.
  • Experience with data visualization tools such as Tableau or Power BI.
  • Strong understanding of ETL/ELT architectures and modern data management practices.
Preferred Technical Skills
  • Collibra Data Quality (or comparable data quality platforms)
  • Azure Data Services (Azure Data Lake, Azure Data Factory)
  • Databricks, Spark, Delta Lake, and notebooks
  • Data Cataloging, Metadata Management, and Data Lineage
  • Data Governance Frameworks and Regulatory Compliance
Soft Skills
  • Excellent communication and stakeholder management skills.
  • Ability to translate complex technical concepts into business-friendly recommendations.
  • Strong documentation, analytical, and problem-solving abilities.
  • Experience influencing senior leadership and driving organizational change.
Education

Bachelor’s degree in Computer Science, Information Systems, Data Management, or equivalent professional experience.