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Data Quality Developer Jobs in Tacoma, WA (NOW HIRING)

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:

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:

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

... quality gates) to ensure flawless data integrity. * DevOps & Lifecycle: Experience required with software and infrastructure change management, CI/CD pipelines (Azure DevOps/GitHub Actions), and ...

Data Engineer

Seattle, WA · On-site

$130K - $150K/yr

... quality gates) to ensure flawless data integrity. * DevOps & Lifecycle: Experience required with software and infrastructure change management, CI/CD pipelines (Azure DevOps/GitHub Actions), and ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data Quality, Reliability & Operations * Identify, troubleshoot, and resolve data issues including ...

Data Engineer

Seattle, WA · Hybrid

$130K - $156K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data Quality, Reliability & Operations * Identify, troubleshoot, and resolve data issues including ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Implement data quality rules - schema validation, completeness, freshness, business-rule checks ... Drive engineering best practices - version control, testing, documentation, observability, and ...

Data Engineer I, Fire TV

Seattle, WA · On-site

$130K - $156K/yr

You will build and operate data pipelines, data models, and data quality mechanisms supporting Fire ... engineers Build and maintain ETL/ELT workflows using SQL, Python, and AWS services Support data ...

Data Engineer I, Fire TV

Seattle, WA · On-site

$130K - $156K/yr

You will build and operate data pipelines, data models, and data quality mechanisms supporting Fire ... engineers Build and maintain ETL/ELT workflows using SQL, Python, and AWS services Support data ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Implement data quality rules - schema validation, completeness, freshness, business-rule checks ... Drive engineering best practices - version control, testing, documentation, observability, and ...

This is not a traditional QA Automation, Manual QA, Selenium, Cypress, Playwright, SDET, or Web Application Testing position. We are looking for professionals with hands-on experience in Data ...

Own end-to-end data quality by identifying, investigating, and resolving pipeline issues ... Document workflows, data models, and engineering processes to ensure maintainability and knowledge ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Location: Bellevue, WA Job Type: Onsite/Remote: Hybrid * Experience in Synapse with ... Data quality check of the new streams * Monitoring of the data pipeline created in Azure Data ...

Data Engineer I, Fire TV

Seattle, WA · On-site

$130K - $156K/yr

You will build and operate data pipelines, data models, and data quality mechanisms supporting Fire ... engineers Build and maintain ETL/ELT workflows using SQL, Python, and AWS services Support data ...

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Data Quality Developer information

See Tacoma, WA salary details

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How much do data quality developer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for data quality developer in Tacoma, WA is $58.45, according to ZipRecruiter salary data. Most workers in this role earn between $50.87 and $69.71 per hour, depending on experience, location, and employer.

What is a data quality developer?

A Data Quality Developer is an IT professional responsible for ensuring the accuracy, consistency, and reliability of data within an organization’s systems. They design and implement processes, tools, and scripts to identify and resolve data quality issues such as duplicates, missing values, or inconsistencies. Their role often involves collaborating with data engineers, analysts, and business stakeholders to define data quality requirements and standards. Additionally, Data Quality Developers monitor data pipelines, perform data profiling, and create automated tests to maintain high data integrity over time.

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

A Data Quality Developer should have strong skills in data analysis, database management, and data profiling, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, SQL, data quality platforms (like Informatica or Talend), and relevant certifications are often required. Attention to detail, problem-solving, and effective communication are crucial soft skills for collaborating with diverse teams and resolving data issues. These abilities ensure the delivery of accurate, reliable data that supports business decision-making and operational efficiency.

What are some common challenges data quality developers face when working with large datasets, and how can they overcome them?

Data Quality Developers often encounter challenges such as inconsistent data formats, missing values, and integration issues when working with large datasets from multiple sources. To overcome these, they typically implement automated validation rules, build robust data profiling scripts, and work closely with data engineers and business analysts to understand data requirements. Regular communication with stakeholders and adopting best practices for data governance can also help ensure data accuracy and reliability across the organization.

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

AspectData Quality DeveloperData Analyst
Primary FocusEnsuring data accuracy, consistency, and integrity through data quality processes and toolsAnalyzing data to identify trends, generate reports, and support decision-making
Skills & CertificationsData management, SQL, data profiling, data governance certificationsData analysis, SQL, Excel, visualization tools, statistical knowledge
Work EnvironmentData management teams, IT departments, data warehousesBusiness units, marketing, finance, operations
Common UsageFocuses on data quality standards and improvementsFocuses on data insights and reporting

While both roles work with data, Data Quality Developers concentrate on maintaining high data standards and integrity, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps organizations assign the right responsibilities and skills to each role.

Data Quality Analyst

Tukwila, WA • On-site

The Select Group
501 - 1,000 employees

Other

PTO

Re-posted 27 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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