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Data Migration Jobs in Seattle, WA (NOW HIRING)

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 ...

Data Analyst

Redmond, WA · Hybrid

$55 - $60/hr

Data Migration & Cleanup * Support data cleansing initiatives for PLM and ERP systems. * Collaborate with business users and IT teams to execute data corrections and mass updates. * Assist in ...

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Data Migration information

See Seattle, WA salary details

$16

$46

$73

How much do data migration jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for data migration in Seattle, WA is $46.24, according to ZipRecruiter salary data. Most workers in this role earn between $32.52 and $55.42 per hour, depending on experience, location, and employer.

What does a data migration do?

A data migration involves transferring data from one system, storage, or format to another, often during system upgrades or consolidations. Data migration specialists plan, execute, and verify the process to ensure data integrity and minimal downtime, frequently using tools like ETL (Extract, Transform, Load) software. The role requires attention to detail, knowledge of databases, and adherence to security standards.

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

To thrive in Data Migration, you need strong expertise in database management, data mapping, and ETL (Extract, Transform, Load) processes, often backed by a degree in computer science or a related field. Familiarity with tools like SQL, Microsoft SQL Server, Oracle, Informatica, or similar platforms, as well as certifications in data management or cloud technologies, is highly valued. Excellent problem-solving skills, attention to detail, and clear communication are key soft skills for success in this role. These capabilities are critical to ensuring data integrity, minimizing downtime, and facilitating smooth transitions during system upgrades or technology changes.

What are the typical challenges faced by data migration professionals, and how can they be addressed?

Data Migration professionals often encounter challenges like data inconsistencies, legacy system incompatibility, and unanticipated downtime during migration projects. Careful planning, thorough testing, and strong documentation are essential to mitigate these risks. Working collaboratively with IT, business analysts, and end users helps anticipate potential issues and ensures all data requirements are met. A proactive approach to troubleshooting and continuous communication with stakeholders helps achieve successful, error-free migrations. As a Data Migration expert, you'll frequently navigate these situations to deliver smooth transitions for organizations undergoing digital transformation.

What are data migration jobs?

Data migration jobs involve transferring data from one system, format, or storage environment to another, often requiring knowledge of databases, data structures, and migration tools. These roles typically require skills in data analysis, scripting, and familiarity with database management systems to ensure accurate and secure data transfer.

What is a data migration?

A Data Migration job involves transferring data from one system, format, or storage location to another while ensuring its integrity, accuracy, and security. This process is common during system upgrades, cloud migrations, or database consolidations. Data migration specialists analyze source and target systems, map data fields, and implement validation procedures to prevent data loss or corruption. They may also clean and transform data to meet new system requirements. Effective data migration ensures minimal downtime and seamless transition for businesses.

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

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

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

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

Infographic showing various Data Migration job openings in Seattle, WA as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $96,188 per year, or $46.2 per hour.

Data Migration Test Analyst

eNcloud Services LLC

Seattle, WA • On-site

Other

Posted 8 days ago


Job description

eNcloud Services Immediate Requirement
Title: Data Migration Test Analyst
Location: Tukwila, WA (Hybrid)
Must work in the PST Time Zone
C2C/W2

Summary: 
We are seeking a highly skilled Data Migration Test Analyst to support enterprise data migration initiatives into Snowflake within an Azure ecosystem. This role will be responsible for validating the accuracy, completeness, integrity, and transformation of data as it moves from legacy platforms and data warehouses into modern cloud-based data environments.  The ideal candidate will have strong experience in expertise in data validation, ETL/ELT validation, source-to-target reconciliation, migration testing, , data quality testing, SQL analysis, enterprise reporting validation, and automated testing methodologies. Experience with Alteryx is highly preferred.

Responsibilities:
* Design and execute end-to-end testing strategies for data migration and modernization initiatives.
* Validate data transformations, mappings, and business rules between source systems and Snowflake target environments.
* Perform source-to-target reconciliation testing to confirm completeness, accuracy, and consistency of migrated data.
* Develop and execute SQL-based validation scripts against large datasets.
* Create, execute, and maintain test cases, test plans, and detailed test evidence.
* Validate ETL/ELT pipelines and data ingestion processes.
* Develop automated data validation scripts and reusable testing frameworks.
* Investigate data anomalies, transformation issues, and reconciliation exceptions.
* Support functional, integration, regression, and user acceptance testing activities.
* Perform data profiling, data quality assessments, and root cause analysis.
* Collaborate with Data Engineers, Data Architects, Product Owners, and Business Analysts to resolve data quality issues.
* Develop data quality metrics and testing dashboards to measure migration success.
* Validate reporting and analytics outputs migrated from legacy platforms into Snowflake.
* Participate in Agile ceremonies including sprint planning, backlog refinement, and defect triage.
* Document defects with detailed root-cause analysis and testing results