Data Validation QA Engineer - Remote (Must have: QA, K-anonymity validation techniques, SQL, data comparison and profiling, defect tracking tools) 12 months contract - direct client...
Posted Today by 1765949160
Negotiable
Outside
Remote
USA
Summary: The role of Data Validation QA Engineer focuses on ensuring the accuracy and compliance of data masking and anonymization solutions. The engineer will validate anonymized datasets against privacy standards and regulatory requirements, while also supporting user acceptance testing (UAT) and compliance sign-off. This position requires a strong background in QA and data validation, particularly with K-anonymity techniques and SQL. The role is remote and offers a contract duration of 12 months.
Key Responsibilities:
- Validate data masking and anonymization outputs
- Execute K-anonymity and L-diversity checks
- Perform reconciliation between source and masked datasets
- Build and execute test cases for data quality and compliance
- Create compliance validation and audit reports
- Identify, track, and document data masking defects
- Support UAT activities and final sign-off processes
Key Skills:
- 4+ years of experience in QA and data validation
- Strong understanding of K-anonymity validation techniques
- Proficiency in SQL for data comparison and profiling
- Experience in test case development and execution
- Strong background in data quality and reconciliation
- Hands-on experience with defect tracking tools (e.g., Jira)
- Excellent documentation and reporting skills
Salary (Rate): £98,000 yearly
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Must have: QA and data validation, strong understanding of K-anonymity validation techniques, SQL for data comparison and profiling, defect tracking tools & good communication skills
Job Summary:
We are seeking an experienced QA Engineer Anonymization Validator to ensure the accuracy, quality, and compliance of data masking and anonymization solutions. The role focuses on validating anonymized datasets against privacy standards and regulatory requirements while supporting UAT and compliance sign-off.
Key Responsibilities:
- Validate data masking and anonymization outputs
- Execute K-anonymity and L-diversity checks
- Perform reconciliation between source and masked datasets
- Build and execute test cases for data quality and compliance
- Create compliance validation and audit reports
- Identify, track, and document data masking defects
- Support UAT activities and final sign-off processes
Required Skills & Qualifications:
- 4+ years of experience in QA and data validation
- Strong understanding of K-anonymity validation techniques
- Proficiency in SQL for data comparison and profiling
- Experience in test case development and execution
- Strong background in data quality and reconciliation
- Hands-on experience with defect tracking tools (e.g., Jira)
- Excellent documentation and reporting skills
Required: Bachelor's degree in Computer Science or a related field
This role is open to W2 or those seeking Corp-Corp employment. The salary range for this role is 89k-98k. For corp-Corp rates please contact the recruiter. In addition to other benefits, Accion Labs offers a comprehensive benefits package, with Accion covering 65% of the medical, dental, and Vision Premiums for employees, their spouses, and dependent children enrolling in the Accion-provided plans.