Test Data Masking Engineer

TechDigital Group; Phoenix (AZ); On-site; USD 90,000 - 120,000; Full time

Job summary

A technology consulting firm is seeking a Test Data Masking Engineer for a contract role in Phoenix, Arizona. This position involves determining data masking needs, implementing masking procedures, and ensuring compliance with privacy regulations. Candidates should have experience with data masking strategies, mainframe systems, and K2View applications. The firm offers competitive compensation and an opportunity to work with sensitive data while maintaining integrity and compliance.

Qualifications

• Experience with data masking techniques and policies.
• Proficiency in K2View application for data handling.
• Understanding of compliance standards regarding sensitive data.

Responsibilities

• Determine which data needs masking and define policies.
• Develop and implement data masking procedures.
• Identify and classify sensitive data across systems.

Skills

Mainframe

Data Masking

K2View

Tools

Azure

Job description

Role Description

State of AZ is looking for a "Test Data Masking Engineer. This is a contract position (initially 6 months) with extensions likely. The full job description is below.

• Determines which data needs masking and defines masking policies
• Develops and implements data masking procedures within data pipelines
• Data discovery and classification: Identifying sensitive data across systems and classifying it based on privacy regulations.
• Masking rule definition: Creating specific masking rules for different data types like names, addresses, drug/medication details, etc.
• Masking technique selection: Choosing appropriate masking techniques like substitution, shuffling, or generalization depending on data sensitivity and usage needs.
• Masking implementation: Applying masking rules to sensitive data in Mainframe database via K2View application, and possible data exports.
• Masking validation: Verifying that masked data maintains data integrity while effectively obscuring sensitive information.
• Monitoring and auditing: Continuously monitoring data masking processes and auditing masking activities for compliance.
• Data masking is a method to protect sensitive information by replacing real data with realistic, but fake, substitutes, using a patented business entity approach
• K2VIEW platform automatically discovers PII and PHI, maintains referential integrity across diverse data sources, and supports both static and dynamic masking to provide compliant, secure, and functional data for development, testing, and analytics without exposing actual user data.

Required Skills

• Mainframe, Data Masking, K2View

Preferred Skills

• Azure