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Data Anonymization Jobs (NOW HIRING)

Preferred Qualifications: - Familiarity with privacy-enhancing technologies and data anonymization techniques. - Familiarity with basic security concepts including OWASP Top 10. - Excellent ...

Senior AI Engineer

Austin, TX · On-site

$103K - $142K/yr

Experience with data anonymization techniques * Background in compliance-heavy or regulated environments Why Us: * We're a welcoming team that's dependable, curious, moves fast, and full of talented ...

Moreover, you will focus on investigating the interaction between privacy and machine learning, developing innovative techniques to improve data anonymization, and preventing model inversion and ...

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;

Product Engineer

Sunnyvale, CA · On-site

$185K - $250K/yr

Implement robust security measures for LLM applications, including data anonymization, prompt injection prevention, and compliance with enterprise security standards. What We Offer * Competitive ...

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 ...

... anonymization, and usage monitoring • Support data retention and lifecycle management policies • Drive adoption of governance practices through training, communication, and tooling • Promote a ...

Position Overview The Data and Security Manager is responsible for safeguarding NITS Solutions Inc ... anonymization techniques • Ensure compliance with standards such as ISO/SAE 21434, GDPR, CCPA ...

Oversee data extraction, ingestion, transformation, normalization, anonymization, validation, loading, and reconciliation processes. * Guide integration activities involving APIs, middleware, Azure ...

... anonymization, and tokenization. • The Data Architect translates user requirements into data models and supporting applications by guiding data analysts in source analysis, advising ETL developers ...

Oversee data extraction, ingestion, transformation, normalization, anonymization, validation, loading, and reconciliation processes. * Guide integration activities involving APIs, middleware, Azure ...

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Data Anonymization information

See salary details

$46K

$165K

$243.5K

How much do data anonymization jobs pay per year?

As of Jun 7, 2026, the average yearly pay for data anonymization in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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 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.

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 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.
More about Data Anonymization jobs
What cities are hiring for Data Anonymization jobs? Cities with the most Data Anonymization job openings:
What states have the most Data Anonymization jobs? States with the most job openings for Data Anonymization jobs include:
What job categories do people searching Data Anonymization jobs look for? The top searched job categories for Data Anonymization jobs are:
Infographic showing various Data Anonymization job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 6% As Needed, 87% Part Time, 4% Temporary, and 2% Nights. Highlights an 82% Physical, 9% Hybrid, and 9% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Software Engineers

Jobs for Humanity

San Jose, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Job description

Company Description
Jobs for Humanity is collaborating with Upwardly Global and with Tiktok to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life.
Company Name: Tiktok
Job Description

Senior Software Engineer (Privacy)
PDPO-San Jose
San Jose
Regular
R&D
Job ID: A205871
Responsibilities
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy-a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact for ourselves, our company, and the communities we serve.
Join us. TikTok's Privacy & Data Protection Organization is expanding our Privacy Validation and Detection Engineering (VaDE) Team. TikTok's Privacy VaDE Team is responsible for validating potential privacy gaps, developing robust detections to enable continuous privacy monitoring, and providing technical engineering support during urgent incident & inquiry response efforts. As a Senior Software Engineer within the Privacy VaDE Team, you will be responsible for assessing and enhancing the privacy and data protection measures within our organization. Your primary focus will be on developing detection methods to monitor for the presence of privacy gaps. Leveraging your expertise in data protection and development, you will play a vital role in safeguarding the privacy of our users' information and ensuring compliance with relevant data privacy laws.
Key Responsibilities:
1. Privacy Detection: Develop detection methods to continuously assess and monitor for gaps in our privacy posture.
2. Privacy Validation: Perform tests on suspected privacy vulnerabilities to validate the presence of a vulnerability and gather evidence to support remediation efforts.
3. Incident Response and Data Breach Management: Assist in privacy-related incident and inquiry response efforts. Perform technical investigations on privacy incidents, identify root causes, and recommend mitigation and remediation actions to prevent future occurrences.
4. Data Protection Compliance: Stay up-to-date with global privacy regulations, such as GDPR, CCPA, or other relevant data protection laws. Ensure our organization's practices align with applicable privacy laws and standards. Collaborate with legal and compliance teams to maintain and improve privacy policies and procedures. Work closely with development and product teams to incorporate privacy best practices into the design and development of new products and features. Advocate for "privacy by design" principles to embed privacy considerations throughout the product development lifecycle.
5. Documentation and Reporting: Maintain detailed records of privacy assessments, testing, detections, and related activities. Generate regular reports for management and stakeholders, providing insights on privacy risks.
Qualifications
Minimum Qualifications:
- Familiarity with core privacy concepts such as data minimization, purpose limitation, data sovereignty, transparency, and data retention.
- Proven software development experience involving large scale data environments with an emphasis on building detection systems.
- Strong offensive security & privacy testing skills with a focus on privacy concerns.
- Proven experience in privacy assessments, data protection, and compliance.
- In-depth knowledge of global privacy regulations and standards, including GDPR, CCPA, etc.
Preferred Qualifications:
- Familiarity with privacy-enhancing technologies and data anonymization techniques.
- Familiarity with basic security concepts including OWASP Top 10.
- Excellent understanding of data handling processes, data flows, and data lifecycle management.
- Effective communication skills to interact with technical and non-technical stakeholders.
- Detail-oriented, analytical mindset, with the ability to think critically and solve complex privacy challenges.
- Strong commitment to ethics and confidentiality in dealing with sensitive data.
- Relevant certifications in privacy and data protection (e.g., CIPP/E, CIPM, CIPT, OSCP) are a plus.
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at [link hidden].
Job Information
For Pay Transparency
Compensation Description (annually): The base salary range for this position in the selected city is $194,000 - $355,000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies, and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and restricted stock units.
Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:
- We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents, and offer a Health Savings Account (HSA) with a company match.
- Dental, Vision, Short/Long-term Disability, Basic Life, Voluntary Life, and AD&D insurance plans.
- Flexible Spending Account (FSA) Options like Health Care, Limited Purpose, and Dependent Care.
- Time off and leave plans: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure), 10 paid sick days per year, 12 weeks of paid Parental leave, and 8 weeks of paid Supplemental Disability.
- Mental and emotional health benefits through our EAP and Lyra.
- A 401K company match, gym, and cellphone service reimbursements.
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.