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Data Anonymization Jobs in California (NOW HIRING)

Monaco

Senior Platform Engineer (DevEx)

San Francisco, CA · On-site

$130 - $160/hr

Experience with test data seeding, cloning, or anonymization for lower environments. * Experience integrating AI/LLM tooling into developer workflows. * Container and machine-image build experience ...

Slope

Senior Platform Engineer (DevEx)

San Francisco, CA · On-site

$120 - $160/hr

Experience with test data seeding, cloning, or anonymization for lower environments. * Experience integrating AI/LLM tooling into developer workflows. * Container and machine-image build experience ...

New

Formal

Software Engineer | Backend

San Francisco, CA · On-site

This allows teams to see how sensitive data is stored, consumed, and used in order to enforce least privilege through masking, filtering, or anonymization policies. We are trusted by leading ...

Formal

Senior Software Engineer | Backend

San Francisco, CA · On-site

$144K - $190K/yr

This allows teams to see how sensitive data is stored, consumed, and used in order to enforce least privilege through masking, filtering, or anonymization policies. We are trusted by leading ...

Formal

Founding Designer

San Francisco, CA · On-site

This allows teams to see how sensitive data is stored, consumed, and used in order to enforce least privilege through masking, filtering, or anonymization policies. We are trusted by leading ...

Formal

Account Executive

San Francisco, CA · On-site

This allows teams to see how sensitive data is stored, consumed, and used in order to enforce least privilege through masking, filtering, or anonymization policies. We are trusted by leading ...

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All JobsData Anonymization JobsData Anonymization Jobs in California

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 California?

For Data Anonymization jobs in California, the most frequently searched job titles are:

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

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

What cities in California are hiring for Data Anonymization jobs?

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Data Anonymization jobs near you

Product & Privacy Counsel @ Parallel Web Systems

The L Suite

Palo Alto, CA • On-site

$190K - $250K/yr

Full-time

Posted 15 hours ago

Posted today

Job description

Parallel: Building the Web for AIs
Empowering Businesses with Flexible, Programmatic Web Infrastructure
Parallel is seeking a Product & Privacy Counsel to shape the legal and privacy foundation of a fast-growing AI infrastructure company. This role partners closely with Product and Engineering teams to provide practical legal guidance throughout the product lifecycle, with a focus on data collection, retention, consent, and privacy-by-design.
The Product & Privacy Counsel will own Parallel's privacy and data protection program, ensuring compliance with GDPR, CCPA, and emerging AI and state privacy laws. Responsibilities include developing policies, managing DPAs, overseeing data mapping, and building scalable templates and playbooks. The role requires technical fluency and the ability to negotiate data licensing and protection agreements confidently.
Ideal candidates have at least 5 years of experience in privacy, data protection, or product counseling (in-house or at a top firm), a J.D., and active U.S. bar membership (California preferred). A strong understanding of legal frameworks for AI products, comfort with technical concepts like data pipelines and anonymization, and a collaborative, low-ego approach are essential.
Parallel operates as a flat, in-person organization between its Palo Alto HQ and San Francisco office, united by a commitment to customer impact, craft, rapid iteration, and creative problem-solving.
Company Website: https://parallelhq.com

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