Data QA Tester (ETL / SQL) Location: Washington DC (Hybrid 3 to 4 Days Onsite) Duration: 12-Month Contract (06/25/2026 06/25/2027) Interview: Video Interview Industry: International Development / Financial Institution / Enterprise Data Modernization
Client Note:
Local with DL copy and LinkedIn with location
Looking for a seasoned Data QA Tester with strong ETL testing experience
Expert-level SQL skills are mandatory
Experience validating enterprise data migration and ETL pipelines is required
About the Role: Client is seeking an experienced Data QA Tester to support enterprise data modernization and migration initiatives. This role is responsible for validating data transformations ETL pipelines and large-scale migration activities to ensure complete data integrity business rule compliance and production readiness.
The ideal candidate will possess deep expertise in SQL ETL testing data validation automated testing frameworks and enterprise data warehouse environments while working closely with Business Analysts Data Engineers and business users throughout the testing lifecycle.
Required Skills:
3 5 years of Data QA or ETL Testing experience
Expert-level SQL
ETL Testing
Data Warehouse Testing
Data Migration Testing
Data Validation and Reconciliation
STTM (Source-to-Target Mapping) Validation
UAT Planning and Execution
Test Automation Frameworks (dbt Tests Great Expectations or similar)
AWS and Azure Data Platform validation
Jira and Azure DevOps
Data Quality Assurance
Data Masking and PII Validation
RBAC and Security Testing
Strong analytical and troubleshooting skills
Bachelors or Masters Degree in Computer Science Data Engineering Information Technology or related quantitative field
Nice to Have:
ISTQB Certification or equivalent QA certification
Enterprise Data Modernization experience
Cloud Data Migration projects
AWS Data Services
Azure Data Engineering exposure
Financial institution or international organization experience
Agile/Scrum development experience
Data QA Tester (ETL / SQL) Location: Washington DC (Hybrid 3 to 4 Days Onsite) Duration: 12-Month Contract (06/25/2026 06/25/2027) Interview: Video Interview Industry: International Development / Financial Institution / Enterprise Data Modernization Client Note: Local with DL copy and Li...
Data QA Tester (ETL / SQL) Location: Washington DC (Hybrid 3 to 4 Days Onsite) Duration: 12-Month Contract (06/25/2026 06/25/2027) Interview: Video Interview Industry: International Development / Financial Institution / Enterprise Data Modernization
Client Note:
Local with DL copy and LinkedIn with location
Looking for a seasoned Data QA Tester with strong ETL testing experience
Expert-level SQL skills are mandatory
Experience validating enterprise data migration and ETL pipelines is required
About the Role: Client is seeking an experienced Data QA Tester to support enterprise data modernization and migration initiatives. This role is responsible for validating data transformations ETL pipelines and large-scale migration activities to ensure complete data integrity business rule compliance and production readiness.
The ideal candidate will possess deep expertise in SQL ETL testing data validation automated testing frameworks and enterprise data warehouse environments while working closely with Business Analysts Data Engineers and business users throughout the testing lifecycle.
Required Skills:
3 5 years of Data QA or ETL Testing experience
Expert-level SQL
ETL Testing
Data Warehouse Testing
Data Migration Testing
Data Validation and Reconciliation
STTM (Source-to-Target Mapping) Validation
UAT Planning and Execution
Test Automation Frameworks (dbt Tests Great Expectations or similar)
AWS and Azure Data Platform validation
Jira and Azure DevOps
Data Quality Assurance
Data Masking and PII Validation
RBAC and Security Testing
Strong analytical and troubleshooting skills
Bachelors or Masters Degree in Computer Science Data Engineering Information Technology or related quantitative field
Nice to Have:
ISTQB Certification or equivalent QA certification
Enterprise Data Modernization experience
Cloud Data Migration projects
AWS Data Services
Azure Data Engineering exposure
Financial institution or international organization experience