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Data Validation Jobs in Seattle, WA (NOW HIRING)

This role focuses on validating enterprise data migrations by ensuring data accuracy, completeness, integrity, transformation, and reconciliation between legacy systems and the target Snowflake ...

This role focuses on validating data accuracy, completeness, integrity, and transformation as data moves from legacy systems into modern cloud platforms. The ideal candidate has strong experience in ...

QA Data Migration Engineer

Tukwila, WA · On-site +1

$45 - $60/hr

This role focuses on validating data accuracy, completeness, integrity, and transformation as data moves from legacy systems into modern cloud platforms. The ideal candidate has strong experience in ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Validation of the new streams * Data quality check of the new streams * Monitoring of the data pipeline created in Azure Data Factory * Updating the Tech spec and wiki page for each ...

Data Strategy & Validation: Execute sophisticated data validation workstreams to ensure cross-system accuracy, completeness, and consistency. * Framework Development: Design and implement robust data ...

Data Strategy & Validation: Execute sophisticated data validation workstreams to ensure cross-system accuracy, completeness, and consistency. * Framework Development: Design and implement robust data ...

AI Data Engineer 3

Redmond, WA · On-site

$70 - $77/hr

Conduct thorough data quality assessments, validation, and verification to ensure accuracy, completeness, consistency, and integrity across diverse data sources and systems. * Design, implement ...

Validate and reconcile data across sources, identify and resolve discrepancies, enforce data consistency, and ensure downstream reporting and campaign lists are built on trusted data. * Data ...

Validate and reconcile data across sources, identify and resolve discrepancies, enforce data consistency, and ensure downstream reporting and campaign lists are built on trusted data. * Data ...

Validate and reconcile data across sources, identify and resolve discrepancies, enforce data consistency, and ensure downstream reporting and campaign lists are built on trusted data. * Data ...

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Data Validation information

See Seattle, WA salary details

$25

$59

$89

How much do data validation jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data validation in Seattle, WA is $59.41, according to ZipRecruiter salary data. Most workers in this role earn between $45.05 and $72.21 per hour, depending on experience, location, and employer.

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 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 is the work of data validation?

Data validation is a key responsibility in data validation jobs, involving checking data for accuracy, completeness, and consistency to ensure it meets specified standards. It often requires attention to detail, knowledge of data quality tools, and understanding of data formats to prevent errors in data processing and analysis.
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:
Infographic showing various Data Validation job openings in Seattle, WA as of August 2026, with employment types broken down into 5% Internship, 71% Full Time, and 24% Contract. Highlights an 81% In-person, 5% Hybrid, and 14% Remote job distribution, with an average salary of $123,563 per year, or $59.4 per hour.

Data Migration Test Analyst

DKMRBH Inc

Seattle, WA • On-site

$50 - $55/hr

Contractor

Posted 10 days ago


Job description

Job Title: Data Migration Test Analyst - Snowflake  SQL  Azure

Location: Seattle, WA (Hybrid - Local Candidates Only)

Important: 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 Migration Testing, Data Warehouse Testing, ETL/ELT Validation, SQL Data Validation, Snowflake, and Source-to-Target Data Reconciliation. Candidates whose experience is primarily focused on UI testing, test automation frameworks, functional QA, mobile testing, or general application testing are unlikely to be a good fit for this role.

Local candidates in the Greater Seattle area who can work in a hybrid onsite environment are strongly encouraged to apply.

Position Overview

Join a large-scale enterprise data modernization program supporting the migration of critical business data into Snowflake within a Microsoft Azure environment. This role focuses on validating enterprise data migrations by ensuring data accuracy, completeness, integrity, transformation, and reconciliation between legacy systems and the target Snowflake platform.

This opportunity is best suited for professionals with experience in:

  • Enterprise Data Migration Testing

  • Data Warehouse Testing

  • ETL/ELT Validation

  • Data Quality Testing

  • SQL Data Validation

  • Source-to-Target Mapping and Reconciliation

  • Snowflake Migration Projects

Required Qualifications
  • 5+ years of experience in Data Migration, Data Warehouse, ETL, or Data Quality Testing.

  • Strong experience validating enterprise data migration initiatives.

  • Hands-on experience with Source-to-Target Data Validation and Reconciliation.

  • Advanced SQL skills for data validation and analysis.

  • Experience testing ETL/ELT pipelines and data transformations.

  • Hands-on experience with Snowflake.

  • Experience working within Microsoft Azure data environments.

  • Experience validating APIs and data integrations.

  • Experience creating test strategies, test plans, and test documentation.

  • Experience validating large datasets and enterprise reporting.

  • Familiarity with Azure DevOps, Jira, or similar test management tools.

Key Responsibilities
  • Validate enterprise data migrations from legacy platforms into Snowflake.

  • Perform source-to-target reconciliation across large datasets.

  • Validate ETL/ELT pipelines, transformation logic, and business rules.

  • Develop SQL queries for data validation and reconciliation.

  • Investigate data quality issues, anomalies, and transformation defects.

  • Execute functional, integration, regression, and user acceptance testing for migration initiatives.

  • Validate reports, dashboards, and analytics following data migration.

  • Collaborate with Data Engineers, Data Architects, Business Analysts, and Product Owners to resolve data quality issues.

  • Document testing results, defects, root cause analysis, and validation evidence.

Preferred Qualifications

Experience with the following technologies is highly desirable:

  • Alteryx Designer or Alteryx Server

  • Automated Data Validation and Reconciliation

  • QuerySurge or similar data comparison tools

  • Snowflake migration projects

  • Azure Data Factory

  • Data Profiling and Data Quality Monitoring tools

  • Power BI dataset validation

  • Python scripting for data validation and testing automation

Preferred Industry Experience

Candidates with experience in the following industries will be given preference:

  • Banking

  • Financial Services

  • Credit Union

  • Lending

  • Wealth Management


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About DKMRBH

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Wilmington, DE, US

Year founded

2012