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Data Masking Jobs in Reston, VA (NOW HIRING)

AMERICAN SYSTEMS

Data Architect

Quantico, VA · On-site

$133K - $222K/yr

Design secure data access controls using least privilege principles , encryption, masking, and data loss prevention mechanisms. * Support data integration strategies , including data lakes, data ...

American Systems

Data Architect

Quantico, VA · On-site

$133K - $222K/yr

Design secure data access controls using least privilege principles , encryption, masking, and data loss prevention mechanisms. * Support data integration strategies , including data lakes, data ...

AMERICAN SYSTEMS

Data Architect

Quantico, VA · Hybrid

$133K - $222K/yr

Design secure data access controls using least privilege principles , encryption, masking, and data loss prevention mechanisms. * Support data integration strategies , including data lakes, data ...

J5 Consulting

Test Engineer

Mclean, VA · On-site

Demonstrated experience with test data management in cloud environments (synthetic data, masking, seeding, or ephemeral environments). * Demonstrated AWS certification (Cloud Practitioner, Developer ...

J5 Consulting

Test Engineer

Mclean, VA · On-site

Demonstrated experience with test data management in cloud environments (synthetic data, masking, seeding, or ephemeral environments). * Demonstrated AWS certification (Cloud Practitioner, Developer ...

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CMT Services, Inc.

Databricks Engineer

Adelphi, MD

Design and implement data masking, tokenization, and anonymization for compliance with privacy regulations (e.g., GDPR, FERPA). * Work with security teams to audit and certify compliance controls. AI ...

PLANIT Group

Data Modeler

Washington, DC · On-site

$62 - $80.50/hr

Data Modeler Hybrid Richmond, VA Long term contract Design enterprise data models (conceptual ... Row-/column-level security, dynamic masking, tokenization/encryption, privacy impact assessment ...

CMT Services Inc.

Databricks Engineer

Adelphi, MD · On-site

Design and implement data masking, tokenization, and anonymization for compliance with privacy regulations (e.g., GDPR, FERPA). * Work with security teams to audit and certify compliance controls. AI ...

CMT Services Inc

Databricks Engineer

Hyattsville, MD · On-site

Design and implement data masking, tokenization, and anonymization for compliance with privacy regulations (e.g., GDPR, FERPA). * Work with security teams to audit and certify compliance controls. AI ...

10a Labs

Data Engineer, Web Scraping

Washington, DC · Remote

$105K - $125K/yr

Prepare data for further analysis, including data cleaning, transformation, anonymization, and masking; * Contribute to the development of internal and external APIs, following best practices;

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All JobsData Masking JobsData Masking Jobs in Reston, VA

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 Reston, VA? For Data Masking jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Data Masking jobs in Reston, VA look for? The top searched job categories for Data Masking jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Masking jobs? Cities near Reston, VA with the most Data Masking job openings:
Data Masking jobs near you
Infographic showing various Data Masking job openings in Reston, VA as of July 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution.
Data Architect

Data Architect

AMERICAN SYSTEMS

Quantico, VA • On-site

$133K - $222K/yr

Full-time

Medical, Retirement, PTO

Posted 27 days ago

Job description

Overview
AMERICAN SYSTEMS is an employee-owned federal government contractor supporting national priority programs through our strategic solutions in the areas of Information Technology, Test & Evaluation, Program Mission Support, Engineering & Analysis, and Training.
The Data Architect will provide enterprise-level data architecture, governance, and integration support to the Naval Criminal Investigative Service (NCIS) Digital Business Directorate (DBD). This role is critical to enabling NCIS's law enforcement, counterterrorism, and counterintelligence missions by designing, implementing, and maintaining secure, scalable, and interoperable data architectures across classified and unclassified environments.
The Data Architect will support NCIS's transition from on-premises systems to a Department of the Navy-approved virtual private cloud environment hosted on Flank Speed Microsoft Azure, while ensuring compliance with Department of Defense (DoD).
Responsibilities
As a Data Architect with AMERICAN SYSTEMS, you will have the opportunity to do the following:
  • Design, implement, and maintain enterprise data architectures that support NCIS investigative, intelligence, and operational missions.
  • Develop and manage conceptual, logical, and physical data models to support structured, semi-structured, and unstructured data.
  • Establish and enforce data standards, naming conventions, and interoperability frameworks, including NIEM Open.
  • Architect cloud-native and hybrid data solutions supporting on-premises and DON virtual private cloud environments.
  • Implement and maintain data governance frameworks, including data stewardship, metadata management, and data quality controls.
  • Ensure compliance with CJIS, NIST, FISMA, FedRAMP, Privacy Act, CUI, and DoD/DON data policies.
  • Design secure data access controls using least privilege principles, encryption, masking, and data loss prevention mechanisms.
  • Support data integration strategies, including data lakes, data warehouses, federation, and real-time data exchange solutions.
  • Maintain an enterprise data catalog to improve data discoverability, transparency,
  • and governance.
  • Collaborate with data engineering and analytics teams to ensure architectures support machine learning, analytics, and reporting.
  • Optimize data platform performance through indexing, partitioning, query optimization, and scalable cloud architectures.
  • Develop and maintain architecture artifacts, diagrams, and technical documentation.
  • Support enterprise architecture initiatives and provide technical recommendations to government leadership. Department of the Navy (DON), Intelligence Community (IC), and Department of Justice (DoJ) data standards and security requirements.
  • This position operates within secure facilities, including Sensitive Compartmented
  • Information Facilities (SCIFs), and requires close collaboration with government stakeholders, data engineers, data scientists, cybersecurity personnel, and enterprise architects.

Qualifications
  • Active Top Secret (TS) clearance Eligible for Sensitive Compartmented Information (SCI) access
  • Ability to obtain SCI adjudication within six (6) months

Experience
  • Minimum 10 years of experience in data architecture, data management, or enterprise data engineering
  • Proven experience designing enterprise-scale data architectures in regulated or classified environments
  • Experience supporting law enforcement, intelligence, or DoD organizations is highly preferred
  • Hands-on experience with hybrid cloud and cloud-native architectures, multiple operating systems and containerization techniques, preferably in Microsoft Azure
  • Experience integrating data across multiple systems, agencies, and security domains Technical Skills
  • Data modeling (conceptual, logical, physical)
  • Enterprise data architecture frameworks
  • Data lakes, data warehouses, and hybrid data platforms
  • Metadata management and data catalog solutions
  • Data integration and federation strategies
  • SQL and NoSQL database technologies
  • Performance optimization techniques
  • Data security, encryption, masking, and access controls
  • Familiarity with NIEM, CJIS, NIST, and DoW data standards

Preferred Qualifications
  • Experience with AWS and Microsoft Azure data services
  • Familiarity with DoW and DON data strategies
  • Experience supporting machine learning and analytics platforms
  • Knowledge of Zero Trust data access principles
  • Experience developing data governance policies and enterprise data standards
  • Strong documentation, briefing, and stakeholder communication skills

Pay Transparency Statement
AMERICAN SYSTEMS is committed to pay transparency for our applicants and employee-owners. The salary range for this position is USD $133,000.00/Yr. - USD $222,100.00/Yr. Actual compensation will be determined based on several factors permitted by law. AMERICAN SYSTEMS provides for the welfare of its employees and their dependents through a comprehensive benefits program by offering healthcare benefits, paid leave, retirement plans, insurance programs, and education and training assistance.
EEO Statement
EEO Race/Sex/Disability Status/Veteran Status

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