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Data Masking Jobs (NOW HIRING)

Data masking, anonymisation, and tokenisation * Aged data treatment process (Data retention, archiving, and disposal) * Privacy-by-design control embedded into data products and pipelines Key ...

Mainframe Developer

Johnston, RI · On-site

$49.25 - $63.25/hr

ClifyX is seeking a Mainframe Developer with strong expertise in Mainframe and data masking. The role involves analyzing existing COBOL and JCL jobs, understanding VSAM and QSAM files, and ...

Implementing Role-Based Access Control (RBAC), data masking, and compliance frameworks. • Leadership & Soft Skills • Tech leads also mentor junior engineers, estimate project timelines, and ...

Implementing Role-Based Access Control (RBAC), data masking, and compliance frameworks. • Leadership & Soft Skills • Tech leads also mentor junior engineers, estimate project timelines, and ...

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Develop CI/CD pipelines using Azure DevOps. * Enforce security through service accounts, least-privilege access, and data masking policies. * Analyze audit logs and develop reporting for usage and ...

Work with systems that handle sensitive data with regulatory compliance and change management processes, including data masking, row and column level data security implementations. * Develop ...

Senior Data Engineer

Eden Prairie, MN · On-site

$108K - $146K/yr

... masking in line with company standards • Monitor data pipelines and data systems to detect and resolve issues promptly • Develop monitoring tools and automate error-handling mechanisms to ensure ...

Architect and implement data governance and security frameworks including classification, tagging, RBAC, and dynamic data masking for PII and regulated data using Snowflake Horizon * Lead integration ...

Enforce strict data security boundaries, ensuring localized operational data views comply with global PII regulations, data masking standards, and confidentiality protocols * Partner closely with the ...

Azure Data Engineer

Bentonville, AR · On-site

$97K - $117K/yr

Develop CI/CD pipelines using Azure DevOps. * Enforce security through service accounts, least-privilege access, and data masking policies. * Analyze audit logs and develop reporting for usage and ...

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Data Masking information

Do data entry jobs really pay?

Data masking jobs typically involve handling sensitive information and may be part of data security or data management roles. Compensation varies based on experience, location, and employer, with many positions offering hourly wages or salaries aligned with industry standards for data-related work.

What is the difference between Data Masking vs Data Analyst?

AspectData MaskingData Analyst
Required CredentialsTypically no formal certifications, but knowledge of data security and privacy standardsBachelor's degree in data science, statistics, or related field; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentIT/security teams, often within data security or compliance departmentsBusiness intelligence, analytics teams, or data departments across various industries
Employer & Industry UsageUsed in industries handling sensitive data like finance, healthcare, and retailUsed across industries for data-driven decision making, reporting, and insights

Data Masking focuses on protecting sensitive information by obfuscating data to ensure privacy and security. Data Analysts interpret and analyze data to generate insights. While Data Masking is a technical security process, Data Analysts work with the data post-masking to support business decisions.

What does data masking do?

Data masking is a technique used by data masking professionals to protect sensitive information by replacing it with fictitious or obfuscated data. It ensures that confidential data remains secure during testing, development, or sharing, reducing the risk of data breaches while maintaining data usability. Skills in data masking tools and understanding of data privacy regulations are important for this role.

What are the key skills and qualifications needed to thrive as a Data Masking Specialist, and why are they important?

To thrive as a Data Masking Specialist, you need a solid understanding of data security principles, database management, and regulatory compliance, typically supported by a degree in computer science or information security. Familiarity with data masking tools such as Informatica, IBM Optim, or Microsoft SQL Server Data Masking, as well as relevant certifications like CISSP or CISM, is often required. Strong analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are crucial to ensure sensitive data is properly protected, minimizing security risks and meeting compliance requirements.

What is data masking?

Data masking is a process used to protect sensitive information by replacing original data with fictional but realistic data. The goal is to ensure that confidential data, such as personal identification numbers or financial information, cannot be accessed by unauthorized users, especially in non-production environments like testing or development. Data masking maintains the format and structure of the original data so that applications can function correctly while ensuring privacy and compliance with regulations. This technique is commonly used in industries that handle large amounts of sensitive information, such as healthcare, finance, and government.

What are some common challenges faced by professionals working in data masking roles?

Professionals in data masking roles often encounter challenges such as ensuring that masked data remains useful for development or testing while maintaining strict compliance with privacy regulations. Balancing security with data utility can be complex, especially when working with legacy systems or large-scale databases. Collaboration with database administrators, developers, and compliance teams is essential to design effective masking strategies and troubleshoot issues as they arise. Staying updated on evolving data privacy laws and best practices is also crucial for long-term success in this field.

What is a masking job?

A data masking job involves modifying sensitive information within databases or data sets to protect privacy while maintaining data usability. Professionals in this role use tools and techniques to anonymize or obfuscate data, often working with security standards and compliance requirements.

What is the highest paying job in data?

In data-related fields, roles such as Data Engineering Manager, Data Architect, and Chief Data Officer tend to be the highest paying, often earning six-figure salaries. These positions require advanced skills in data architecture, cloud platforms, and leadership, and typically involve overseeing data strategy and infrastructure.
More about Data Masking jobs
What cities are hiring for Data Masking jobs? Cities with the most Data Masking job openings:
What states have the most Data Masking jobs? States with the most job openings for Data Masking jobs include:
Infographic showing various Data Masking job openings in the United States as of July 2026, with employment types broken down into 31% Full Time, and 69% Contract. Highlights an 85% In-person, and 15% Remote job distribution.
Data Privacy Product Owner

Data Privacy Product Owner

Chubb

Jersey City, NJ • On-site

$147K - $207K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Chubb rating

8.2

Company rating: 8.2 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

123rd of 281 rated insurance


Job description

Role Purpose:

The Data Privacy Product Owner is accountable for establishing Data Privacy Platform and for building the enterprise data privacy capability from the ground up. This role is responsible for creating the data privacy capability through platform services, defining the operating model, tooling, standards, and ways of working, and ensure it is embedded across all data platforms including structured and unstructured data. 

This role owns the product vision, roadmap, and design for data privacy capabilities, including:

  • PII discovery, identification, and classification
  • Data masking, anonymisation, and tokenisation
  • Aged data treatment process (Data retention, archiving, and disposal)
  • Privacy-by-design control embedded into data products and pipelines

Key Responsibilities:

  • Product Ownership - Data Privacy Platform
    • Own the enterprise data privacy platform product vision and roadmap
    • Translate data privacy policy into implementable data privacy capabilities
    • Define MVP, phased rollout, and scale strategy
    • Prioritize the data privacy platform backlog in partnership with IT delivery teams
    • Define success measures focused on capability adoption and reuse
  • PII Discovery & Classification

    • Define the enterprise approach for PII discovery and classification
    • Establish classification taxonomies and minimum coverage expectation
    • Ensure integration with data catalog and data lineage management
  • Data Masking & Privacy Controls

    • Define standard enterprise patterns for Statics masking, Dynamic masking, Tokenization and anonymization
    • Provide clear guidance on when and how controls should be applied
  • Data Retention, Archiving & Disposal
    • Define enterprise frameworks for retention rules and archiving
    • Translate legal and business requirements into design patterns
    • Ensure retention and disposal are policy-driven and enforceable
  • Tooling & Architecture Definition
    • Define reference architecture and tooling standards for data privacy
    • Lead evaluation and selection of data privacy tools
    • Define integration patterns with data platforms and metadata services
Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.

At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.
  • Product owner experience building enterprise data privacy capabilities
  • Strong understanding of data privacy concepts, data management and data platforms
  • Proven ability to establish new operating models or Centre of excellence
  • Strong stakeholders management across Data, IT, and Business

The pay range for the role is $147,500 to $207,500. The specific offer will depend on an applicant's skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.


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About Chubb

Sourced by ZipRecruiter

Chubb is the world's largest publicly traded property and casualty insurer. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. We are a unique global organization with a culture of individuals passionately committed to our respective crafts. With underwriting at our core, each of us contributes to providing the best insurance coverage and service to our clients. Our highly collaborative, inclusive nature helps us drive better business outcomes through diversity of background, experiences, insights and values.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Warren, NJ, US