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Data Masking Jobs in Texas (NOW HIRING)

Ruri Software Technologies LLC

Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

Data masking of on prem PII data. * Develop API calls with using secure data transfer * Take standard output data to lower environments for pre prod testing * Enable secured channels for data models ...

Novul Solutions

Data Analyst

Arlington, TX

Create detailed implementation plans for deploying data masking solutions across relevant systems, applications, and datasets. * Support enterprise data protection efforts by helping ensure sensitive ...

IT Associates, Inc.

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 ...

TMS

Database Administrator

Coppell, TX · On-site

$60 - $65/hr

Implement and support data masking solutions for sensitive and regulated data sets. * Develop and maintain automation scripts for routine DBA tasks, monitoring, deployments, and operational support.

Vytwo

Data Architect

Prosper, TX · On-site

$58.50 - $75/hr

Design and govern reusable test data patterns, test data provisioning approaches, masking strategies, synthetic data solutions, and environment refresh processes. * Demonstrate strong understanding ...

Tata Consultancy Services

Databricks Data Engineer

Irving, TX · On-site

$106K - $127K/yr

... data masking policies using Unity Catalog to secure Personally Identifiable Information (PII) and ensure compliance. • Optimize Spark jobs, troubleshoot memory bottlenecks, and adjust cluster ...

Alltech Consulting Services, Inc.

Data Architect

Dallas, TX · On-site

$63.25 - $81.50/hr

Implement data access controls, data encryption, and data masking techniques Familiarity with data visualization tools and techniques for presenting data Create and maintain dashboards and reports ...

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All JobsData Masking JobsData Masking Jobs in Texas

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.
What are popular job titles related to Data Masking jobs in Texas? For Data Masking jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Masking jobs in Texas look for? The top searched job categories for Data Masking jobs in Texas are:
What cities in Texas are hiring for Data Masking jobs? Cities in Texas with the most Data Masking job openings:
Data Masking jobs near you
Infographic showing various Data Masking job openings in Texas as of July 2026, with employment types broken down into 42% Full Time, and 58% Contract. Highlights an 88% In-person, and 12% Remote job distribution.
Data Engineer

Data Engineer

Ruri Software Technologies LLC

Dallas, TX • On-site

$105K - $126K/yr

Full-time

Posted 8 days ago

Job description

Job Title: Data Engineer
Duration: 8+ months
Location: Dallas,TX (Hybrid)
Skill set: Java, Hyve, Hbase, API, Spark
Job Description (Data Engineer)
  • You have 8-10 years of relevant software development experience
  • You have hands-on experience in Java, Hyve, Hbase, API, Spark
  • Highly analytical and data oriented
  • Experience in SQL, NoSql Database
  • Data masking of on prem PII data.
  • Develop API calls with using secure data transfer
  • Take standard output data to lower environments for pre prod testing
  • Enable secured channels for data models and data science activities
  • Need a solution that can scale to handle millions of data. i.e., masking 10 million records in 15 mins
  • You have experience with development tools and agile methodologies

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