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Data Anonymization Jobs in California (NOW HIRING)

Waymo

Staff Software Engineer, Privacy

Mountain View, CA · On-site

$251K - $310K/yr

Sensor Data Anonymization: Develop and optimize computer vision and ML pipelines to automatically detect and blur faces, license plates, and other PII from camera/Lidar data at the edge (on-vehicle ...

Skechers

Data Security Engineer

Manhattan Beach, CA · On-site

$125K - $165K/yr

Design and apply technical controls for secure data transmission, storage, and anonymization in alignment with organizational standards. * Drive continuous process improvement by identifying ...

Skechers

Data Security Engineer

Manhattan Beach, CA

$125K - $165K/yr

Design and apply technical controls for secure data transmission, storage, and anonymization in alignment with organizational standards. * Drive continuous process improvement by identifying ...

Skechers

Data Security Engineer

Manhattan Beach, CA · On-site

$125K - $165K/yr

Design and apply technical controls for secure data transmission, storage, and anonymization in alignment with organizational standards. * Drive continuous process improvement by identifying ...

Skechers

Data Security Engineer

Manhattan Beach, CA · On-site

$125K - $165K/yr

Design and apply technical controls for secure data transmission, storage, and anonymization in alignment with organizational standards. * Drive continuous process improvement by identifying ...

Jobs for Humanity

Software Engineers

San Jose, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

OpenAI

Research Engineer, Privacy

San Francisco, CA · On-site

$380K - $445K/yr

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 ...

OpenAI

Research Engineer, Privacy

San Francisco, CA · On-site

$120 - $150/hr

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 ...

The Consensus

Research Engineer, Privacy

San Francisco, CA · On-site

$180 - $280/hr

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 ...

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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 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?

Cities in California with the most Data Anonymization job openings:

Data Anonymization jobs near you

Staff Software Engineer, Privacy

Waymo

Mountain View, CA

Full-time

Re-posted 28 days ago

Job description

As Waymo prepares to bring the Waymo Driver to European markets, we are seeking a Privacy Engineer to lead the technical architectural design and implementation of our global privacy systems.

In this role, you will bridge the gap between legal requirements (GDPR) and technical reality. You will not just "manage" compliance; you will build the actual engines, data pipelines, and anonymization frameworks that allow our autonomous vehicles to operate in strict regulatory environments. You will work closely with Legal, Product, and AI/ML teams to ensure that Privacy by Design is baked into our sensor data ingestion, mapping technologies, and rider experience from day one.

You will:

  • Architect for EU Compliance: Design and build data handling systems that satisfy strict GDPR requirements, "Right to be Forgotten" automation, and consent management frameworks for European riders.
  • Sensor Data Anonymization: Develop and optimize computer vision and ML pipelines to automatically detect and blur faces, license plates, and other PII from camera/Lidar data at the edge (on-vehicle) and in the cloud before it enters our training sets.
  • Privacy Infrastructure: Write scalable code (C++/Java/Kotlin) to enforce retention policies, access controls, and data minimization across Waymo's distributed infrastructure.
  • Partner with Waymo's Legal and Policy teams to translate complex regulatory texts (e.g., the EU Data & AI Act) into concrete engineering specifications and system requirements.
  • Threat Modeling: Conduct privacy impact assessments (PIA) and threat modeling for new features, specifically focusing on cross-border data transfer risks and third-party vendor integration.

You have:

  • BS degree in Computer Science, or a related technical field, or equivalent practical experience.
  • 8+ years of experience in software engineering with a focus on privacy, security, or data infrastructure.
  • Proficiency in one or more general-purpose programming languages (e.g., Python, C++, Java).
  • Deep understanding of GDPR.
  • Experience working with large-scale data processing frameworks (e.g., Flume, MapReduce, etc..) and cloud infrastructure.

We prefer:

  • Prior experience helping a US-based tech company launch products in the European Economic Area (EEA) or UK.
  • Familiarity with privacy-preserving machine learning techniques, such as Differential Privacy, Federated Learning, or Homomorphic Encryption.
  • Experience building first-class user facing products.

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