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Data Quality Jobs in Seattle, WA (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 ...

Data Quality Analyst II

Seattle, WA ยท On-site

$77K - $116K/yr

The Data Quality Analyst 2 will be responsible for ensuring the accuracy, completeness, and consistency of our subscription data across all systems and platforms. The successful candidate will work ...

Claims Data Quality Analyst

Home, WA ยท Hybrid

$75K - $95K/yr

Determine root cause for data quality errors and make recommendations for long-term solutions * Determine business impact level for data quality issues * Collaborate and maintain cross-functional ...

Claims Data Quality Analyst

Home, WA ยท Hybrid

$75K - $95K/yr

Determine root cause for data quality errors and make recommendations for long-term solutions * Determine business impact level for data quality issues * Collaborate and maintain cross-functional ...

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Data Quality information

See Seattle, WA salary details

$18

$47

$81

How much do data quality jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data quality in Seattle, WA is $47.15, according to ZipRecruiter salary data. Most workers in this role earn between $31.73 and $61.83 per hour, depending on experience, location, and employer.

Is data quality a good career?

Data quality is a valuable career path involving ensuring the accuracy, consistency, and reliability of data within organizations. Professionals in this field often work with data management tools, perform audits, and may pursue certifications like Certified Data Management Professional (CDMP). It offers opportunities across industries such as finance, healthcare, and technology with steady demand for skilled data quality specialists.

What are the key skills and qualifications needed to thrive in a 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?

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.

What are the most commonly searched types of Data Quality jobs in Seattle, WA? The most popular types of Data Quality jobs in Seattle, WA are:
Infographic showing various Data Quality job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $98,082 per year, or $47.2 per hour.

Data Quality Analyst

The Select Group

Tukwila, WA โ€ข On-site

Other

PTO

Re-posted 24 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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