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Data Anonymization Jobs in Washington (NOW HIRING)

IA & SS - Master

Washington, DC · On-site

$82 - $91/hr

... data anonymization, DLP scanning, SSL security). • Work experience in cybersecurity designs for systems, networks, and multi-level security requirements or requirements for processing multiple ...

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

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

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 ...

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 ...

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 ...

Senior AI ML Cloud Developer

Washington, DC

$61.75 - $81.50/hr

Implementing required security and privacy controls when developing AI-enabled prototypes, including proper data handling, masking/anonymization, and secure storage based on defined standards.

Senior AI ML Cloud Developer

Washington, DC · On-site

$61.75 - $81.50/hr

Implementing required security and privacy controls when developing AI-enabled prototypes, including proper data handling, masking/anonymization, and secure storage based on defined standards.

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Data Anonymization information

What is the highest paying data job?

The highest paying data jobs often include roles such as Data Science Director, Chief Data Officer, or Data Engineering Manager, with salaries exceeding $150,000 annually depending on experience and industry. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications or advanced degrees. Compensation varies by company size, location, and individual expertise.

What is data anonymization?

Data anonymization is the process of transforming personal or sensitive data so that individuals cannot be identified, either directly or indirectly. This is typically achieved by removing or encrypting identifiers such as names, addresses, or social security numbers, and sometimes by aggregating data. The goal is to protect privacy while still allowing the data to be used for analysis or research. Data anonymization is crucial in complying with privacy regulations like GDPR and HIPAA. Properly anonymized data helps organizations minimize risk while making valuable data available for insights and decision-making.

How to become a data privacy specialist?

To become a data privacy specialist, individuals typically need a bachelor's degree in fields like computer science, information technology, or law, along with knowledge of data protection regulations such as GDPR or CCPA. Gaining certifications like Certified Information Privacy Professional (CIPP) or Certified Information Privacy Manager (CIPM) can enhance credibility, and experience with data management, security tools, and privacy policies is valuable in this role.

What is the difference between Data Anonymization vs Data Masking?

AspectData AnonymizationData Masking
PurposeTo permanently remove or alter identifiable information to protect privacyTo temporarily hide sensitive data for testing or training
MethodData is irreversibly transformedData is reversibly masked or obscured
Use CasesData sharing, privacy compliance, anonymized analyticsTesting, development, user training
Impact on DataData becomes non-identifiable and unusable for original purposesData remains usable but obscured

While both Data Anonymization and Data Masking aim to protect sensitive information, Data Anonymization permanently alters data to prevent re-identification, making it suitable for privacy compliance and sharing. Data Masking temporarily obscures data for testing or training, allowing data usability while protecting sensitive details.

Why has data anonymization not taken off?

Data anonymization as a job role has not gained widespread prominence because it is often part of broader data privacy and security roles rather than a standalone position. Challenges such as balancing data utility with privacy, technical complexity, and evolving regulations have limited its standalone demand, though skills in data masking, encryption, and compliance are valuable in related fields.

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

Professionals in data anonymization often encounter challenges such as balancing data utility with privacy, ensuring compliance with evolving data protection regulations, and addressing the risk of re-identification. The work typically involves collaborating closely with data engineers, analysts, and legal teams to determine the appropriate anonymization techniques for various datasets. Staying updated on new privacy tools and methodologies is crucial, as is adapting processes to fit the unique needs of each project or organization.

What does data anonymization do?

Data anonymization is a process used by data anonymization specialists to remove or obscure personally identifiable information from datasets, ensuring individual privacy while maintaining data utility. It helps organizations comply with data protection regulations and enables secure data sharing for analysis or research. Techniques include masking, pseudonymization, and generalization, often performed using specialized tools and requiring attention to data security standards.

What are the key skills and qualifications needed to thrive in Data Anonymization, and why are they important?

To thrive in Data Anonymization, you need expertise in data privacy principles, knowledge of statistical methods, and a background in computer science, information security, or related fields. Familiarity with tools like ARX, sdcMicro, and programming languages such as Python or R, as well as understanding of regulations like GDPR, is typically required. Strong analytical thinking, attention to detail, and effective communication skills set professionals apart in this field. These competencies are crucial for ensuring sensitive information is protected while maintaining data utility for analysis and compliance.
What are popular job titles related to Data Anonymization jobs in Washington? For Data Anonymization jobs in Washington, the most frequently searched job titles are:
Infographic showing various Data Anonymization job openings in Washington as of July 2026, with employment types broken down into 6% Internship, 35% As Needed, 17% Full Time, 3% Part Time, 25% Temporary, and 14% Nights. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.

Information Assurance and Security Specialist DC

AHU Technologies, Inc.

Washington, DC • On-site

$80/hr

Full-time

Posted 12 days ago


Job description

Qualifications:
  • Experience in identifying gaps in existing architectures.
  • Experience in designing security architectures to mitigate threats.
  • Knowledge of computer networking concepts and protocols (e.g. TCP/IP, DNS) and network security methodologies.
  • Knowledge of network access, identity, and access management (e.g. public key infrastructure, Oauth, OpenID, SAML, SPML).
  • Knowledge of capabilities and applications of network equipment including routers, switches, servers, transmission media, and related hardware.
  • Knowledge of remote access technology concepts.
  • Knowledge of application firewall concepts and functions (e.g. single point of authentication enforcement, data anonymization, DLP scanning, SSL security).
  • Work experience in cybersecurity designs for systems, networks, and multi-level security requirements or requirements for processing multiple classification levels of data.
  • Knowledge of risk management processes and experience in conducting risk assessments.
  • Familiarity with the application of privacy principles to organizational requirements.
  • Knowledge of identity and access management methods.
  • Experience with Windows, Unix, and Linux operating systems.
  • Knowledge of business continuity and disaster recovery operation plans.

Personal Attributes
  • Strong analytical and problem-solving skills capable of managing projects that drive business objectives.
  • Exceptional written, oral, and interpersonal communication skills.
  • Ability to work in team environments and to negotiate with multiple stakeholders.
  • Ability to meet tight deadlines and to prioritize tasks.
  • Innovative thinker who is self-directed and resourceful.

Flexible work from home options available.
Compensation: $80.00 per hour
About Us
AHU Technologies INCis an IT consulting and permanent staffing firm that meets and exceeds the evolving IT service needs of leading corporations within the United States. We have been providing IT solutions to customers from different industry sectors, helping them control costs and release internal resources to focus on strategic issues.
AHU Technologies INC was co-founded by visionary young techno-commercial entrepreneurs who remain as our principal consultants. Maintaining working relationships with a cadre of other highly skilled independent consultants, we have a growing number of resources available for development projects. We are currently working on Various projects such as media entertainment, ERP Solutions, data warehousing, Web Applications, Telecommunications and medical to our clients all over the world.