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Data Validation Jobs in Seattle, WA (NOW HIRING)

Globenet Consulting Corp

Senior Data Modeler

Bellevue, WA · On-site

$100 - $130/hr

Advanced SQL skills for schema design, query optimization, and data validation. * Proven ability to work independently, manage competing priorities, and deliver in consulting/contractor-style ...

Avcend

Business Analyst (Data Analytics)

Bellevue, WA · On-site

$55 - $60/hr

SQL proficiency for deeper ad-hoc analysis and data validation. * Familiarity with A/B testing and experimentation frameworks. * Experience working alongside or within a BI team environment.

Stjude Redmond

Data Analyst

Seattle, WA · On-site

$99.19/hr

Perform data validation ensuring quality assurance. The incumbent accomplishes this by auditing reports, researching discrepancies, and validating the accuracy and consistency of data; ensuring ...

KP LLC

Data Processing Programmer

Renton, WA · On-site +1

$80K - $110K/yr

Design automated data validation, data cleansing, and quality assurance routines. * Support data imports, exports, integrations, and file transformation requirements. * Optimize database performance ...

Weyerhaeuser

Data Governance Analyst

Seattle, WA · On-site

$82.53 - $123.80/hr

... validation and quality checks across master and transactional data, contributing to improved data quality scores and reduced defect rates over timeUse Power BI to analyze datasets, identify trends ...

BakerHostetler

Data Solutions Engineer

Seattle, WA · On-site

$130K - $156K/yr

... data validation and cleansing procedures to ensure the highest level of data quality and integrity. • Use Microsoft Fabric to support data engineering, analytics, and business intelligence ...

DocuSign, Inc.

Senior Data Scientist

Seattle, WA · On-site

$140 - $207/hr

Experience with SQL for data analysis and data validation * Experience with data visualization tools such as Tableau, Power BI, or similar (experience = design, create data feeds and execute on ...

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All JobsData Validation JobsData Validation Jobs in Seattle, WA

Data Validation information

See Seattle, WA salary details

$25

$59

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How much do data validation jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data validation in Seattle, WA is $59.21, according to ZipRecruiter salary data. Most workers in this role earn between $44.90 and $71.97 per hour, depending on experience, location, and employer.

What is a data validation?

A Data Validation job involves reviewing, cleaning, and verifying data to ensure accuracy, consistency, and reliability. Professionals in this role check for errors, inconsistencies, and missing information using automated tools and manual techniques. They work with databases, spreadsheets, and software applications to maintain data integrity, often collaborating with analysts and engineers. Their work is critical for making informed business decisions and maintaining regulatory compliance.

What does a data validation do?

A Data Validation professional typically spends their day reviewing large datasets, identifying inconsistencies or errors, and ensuring that all data meets established quality standards. This may involve developing and running automated scripts, maintaining data validation rules, and collaborating with data engineers or analysts to resolve data-related issues. The role often requires documenting validation processes and findings to support transparency and future audits. You can expect to work both independently and as part of a larger data or QA team, making your contributions vital to maintaining reliable business information.

What are the key skills and qualifications needed to thrive in data validation, and why are they important?

To thrive in Data Validation, a strong attention to detail, analytical thinking, and experience with data management or quality assurance processes are essential, often supported by a degree in information technology, statistics, or a related field. Familiarity with database software (such as SQL), spreadsheet tools (like Excel), and data validation or ETL (Extract, Transform, Load) systems, along with relevant certifications, is highly beneficial. Strong problem-solving skills, effective communication, and the ability to work both independently and collaboratively help individuals excel in this role. These skills ensure the accuracy and integrity of organizational data, supporting informed decision-making and operational efficiency.

What is the work of data validation?

Data validation is a key responsibility in data validation roles, involving checking data for accuracy, completeness, and consistency to ensure it meets specified standards. It often requires knowledge of data management tools and techniques to identify errors and prevent incorrect data from entering systems, supporting data quality and integrity.

What are the most commonly searched types of Data Validation jobs in Seattle, WA?

The most popular types of Data Validation jobs in Seattle, WA are:

What are popular job titles related to Data Validation jobs in Seattle, WA?

For Data Validation jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Data Validation jobs in Seattle, WA look for?

The top searched job categories for Data Validation jobs in Seattle, WA are:

Data Validation jobs near you
Infographic showing various Data Validation job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,150 per year, or $59.2 per hour.

Senior Data Modeler

Globenet Consulting Corp

Lynnwood, WA • On-site

$50 - $55/hr

Full-time

Re-posted 29 days ago

Job description

Benefits:
  • Competitive salary
  • Opportunity for advancement
  • Training & development

Role: Senior Data Modeler — Enterprise Analytics & Data Platforms
Location: Morristown, NJ (Hybrid — 3 days/week onsite)
We’re looking for a Senior Data Modeler (7+ years) to design, develop, and maintain scalable data models that power enterprise analytics, data warehousing, and modern application development. In this role, you’ll partner closely with engineers, architects, analysts, and business stakeholders to translate complex requirements into high-performing data structures, modeling standards, and documentation that improve usability, governance, and data quality across the organization.
What you’ll do
  •  Design conceptual, logical, and physical data models for relational, dimensional, and NoSQL data stores. 
  •  Create and maintain ERDs, data flow diagrams, and modeling documentation aligned to enterprise standards. 
  •  Collaborate with engineering and architecture teams to support efficient ingestion, transformation, and reporting pipelines. 
  •  Translate business needs into optimized schemas that balance scalability, performance, and maintainability. 
  •  Lead data model reviews, enforce standards, and mentor junior team members on best practices. 
  •  Develop and maintain data dictionaries, metadata, and lineage documentation to improve discoverability and reuse. 
  •  Design star/snowflake schemas for data warehouse and data mart environments in partnership with analytics teams. 
  •  Identify and resolve data quality, redundancy, and integrity issues through effective modeling and normalization/denormalization strategies. 
  •  Support governance initiatives, including standardization, cataloging, and stewardship alignment. 
  •  Participate in Agile delivery, producing modeling artifacts iteratively within sprint cycles. 
Required qualifications
  •  7+ years of experience in data modeling, data architecture, or a closely related discipline. 
  •  Expert proficiency with modeling tools such as Erwin, ER/Studio, and/or dbt. 
  •  Strong experience with relational databases (SQL Server, Oracle, PostgreSQL) and cloud data platforms such as Databricks, Snowflake, BigQuery, Redshift, and Azure Synapse. 
  •  Deep knowledge of dimensional modeling approaches (Kimball, Inmon) and Data Vault 2.0. 
  •  Advanced SQL skills for schema design, query optimization, and data validation. 
  •  Proven ability to work independently, manage competing priorities, and deliver in consulting/contractor-style environments. 
  •  Strong communication skills and the ability to explain technical concepts to technical and non-technical audiences. 
Nice to have
  •  NoSQL experience (MongoDB, Cassandra, DynamoDB). 
  •  Lakehouse architecture familiarity (Delta Lake, Apache Iceberg, Apache Hudi). 
  •  Exposure to governance/catalog tools (Collibra, Alation, Atlan). 
  •  Understanding of data mesh concepts and federated ownership models. 
  •  Experience in regulated domains such as finance, healthcare, or retail. 
Ready to make an impact? Apply now and join us on our journey!

Flexible work from home options available.