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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 ...

Quality Consultant

Palo Alto, CA ยท On-site

$56 - $66/hr

We are looking for a Quality Consultant to support performance improvement, regulatory readiness ... The role focuses on translating data into action, guiding cross-functional teams, and advancing ...

Quality Consultant

Fort Lupton, CO ยท On-site

$68K - $78K/yr

The Clinical Quality Consultant is responsible for integrating Continuous Quality Improvement (CQI ... Guides site Quality Team activities based on data analysis * Supports the update of the Quality ...

LYB develops high-quality and innovative products for applications ranging from sustainable ... Provides recommendations to facility and senior management regarding conformance and data-based ...

Harbor is looking for detail-oriented and committed Data Quality Professionals (DQPs) to join our growing Managed Services team. As a DQP, you'll play a key role in helping our clients maintain ...

New

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 ...

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Data Quality Consultant information

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How much do data quality consultant jobs pay per hour?

As of Jun 12, 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:
Infographic showing various Data Quality Consultant job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $79,207 per year, or $38.1 per hour.
Data Quality Analyst

Data Quality Analyst

The Select Group

Tukwila, WA โ€ข On-site, Remote

Full-time

PTO

Posted 28 days ago


Job description

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 environment. This role requires a hands-on expert capable of navigating complex data ecosystems and collaborating with executive leadership and technical teams to deliver operational excellence.
Core Responsibilities
  • Data Strategy & Validation: Execute sophisticated data validation workstreams to ensure cross-system accuracy, completeness, and consistency.
  • Framework Development: Design and implement robust data quality standards, governance best practices, and regulatory compliance protocols.
  • Cross-Functional Advisory: Partner with IT and business stakeholders to architect scalable data strategies and resolve high-priority data quality issues.
  • Insights & Reporting: Synthesize complex datasets into actionable dashboards and executive-level briefings.

Technical Expertise
  • Alteryx: Advanced workflow automation, blending, and metadata management (Designer/Server/Connect).
  • Informatica IDMC: End-to-end integration mapping, PDO for ELT, and cloud source integration (AWS S3/Snowflake).
  • Snowflake: Architecture optimization, secure data sharing, and complex SQL development.
  • Databricks: Large-scale processing via Delta Lake, Apache Spark, and cloud-native integrations.
  • ETL/ELT: Design and management of robust migration pipelines and high-performance transformation strategies.

Qualifications
  • Experience: 3+ years in Data QA, Governance, or Engineering, ideally within Financial Services.
  • Education: Bachelor's degree in CS, Data Science, or a related technical field.
  • Soft Skills: Exceptional problem-solving abilities and the communication style required for stakeholder management.

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