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Data Anonymization Jobs in Washington (NOW HIRING)

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

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;

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 Research Analyst

Washington, DC · On-site

$131K - $132K/yr

The policy, consumer, and industry implications of data portability, anonymization, and privacy enhancing technologies. Requirements Qualifications * Graduate degree in business, economics, finance ...

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 · 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.

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.

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Data Anonymization information

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.

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 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 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.

How does data anonymization work?

Data anonymization involves transforming personal data to prevent identification of individuals by removing or masking identifiable information such as names, addresses, or social security numbers. Techniques include data masking, pseudonymization, and generalization, often implemented using specialized tools and following privacy standards like GDPR or HIPAA. Data anonymization is essential for protecting privacy while enabling data analysis and sharing.

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:

What job categories do people searching Data Anonymization jobs in Washington look for?

The top searched job categories for Data Anonymization jobs in Washington are:

Infographic showing various Data Anonymization job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Tax Innovation - Data Governance- Senior Associate

Pwc

Washington, DC

$77K - $214K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data Engineering

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Tax Innovation - Data Governance Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Tax practice, you will focus on designing and building data infrastructure and systems to facilitate efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
As a Senior Associate, you will leverage your skills to build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing increased ambiguity. You will use critical thinking to break down complex concepts and interpret data to inform insights and recommendations.
In this role at PwC, you will be at the forefront of data engineering, focusing on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Your work will be integral to transforming data into insights that drive business growth and enable informed decision-making.
Responsibilities
- Designing and implementing data pipelines to facilitate efficient data processing and analysis
- Developing data integration and transformation solutions to support client decision-making
- Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform for scalable data architecture development
- Building and maintaining data infrastructure to support robust data solutions
- Applying analytical thinking to transform raw data into actionable insights
- Managing database security and data anonymization to uphold data integrity
- Collaborating with teams to optimize data strategy and performance tuning
- Leveraging Snowflake Data Warehouse and Snowflake Schema for advanced data modeling
- Validating data quality and executing data validation processes to maintain accuracy
- Navigating complex client situations to build meaningful relationships and deliver quality solutions
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain
- Utilizing Azure Data Factory and Microsoft Azure Databricks
- Developing data architecture and data integration strategies
- Implementing data anonymization and database security best practices
- Excelling in analytical thinking and problem-solving
- Navigating complex data engineering platforms like Snowflake and Databricks
- Demonstrating creativity and intellectual curiosity in data solutions

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $77,000 - $214,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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