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 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.
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:
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:
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 ...
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 ...
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 ...
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 ...
Familiarity with human-centric threat modeling, data anonymization, and/or other privacy-preserving techniques, process, or technologies; * Passionate about the privacy engineering mission.
Familiarity with human-centric threat modeling, data anonymization, and/or other privacy-preserving techniques, process, or technologies; * Passionate about the privacy engineering mission.
Senior Privacy Engineer (Future Opportunities)
San Francisco, CA · On-site
$123K - $169K/yr
Experience in human-centric threat modeling, data anonymization, and/or other privacy-preserving techniques, process, or technologies; * Experience in code review in one or more general purpose ...
Senior Privacy Engineer (Future Opportunities)
San Francisco, CA · On-site
$123K - $169K/yr
Experience in human-centric threat modeling, data anonymization, and/or other privacy-preserving techniques, process, or technologies; * Experience in code review in one or more general purpose ...
Senior Privacy Engineer (Future Opportunities)
San Francisco, CA · On-site
$123K - $169K/yr
Experience in human-centric threat modeling, data anonymization, and/or other privacy-preserving techniques, process, or technologies; * Experience in code review in one or more general purpose ...
Senior Privacy Engineer (Future Opportunities)
San Francisco, CA · On-site
$123K - $169K/yr
Experience in human-centric threat modeling, data anonymization, and/or other privacy-preserving techniques, process, or technologies; * Experience in code review in one or more general purpose ...
Familiarity with human-centric threat modeling, data anonymization, and/or other privacy-preserving techniques, process, or technologies; * Passionate about the privacy engineering mission.
Familiarity with human-centric threat modeling, data anonymization, and/or other privacy-preserving techniques, process, or technologies; * Passionate about the privacy engineering mission.
Build LLM-based methods for synthetic data generation, privacy, and context-aware anonymization, with automated evaluation across multilingual text, documents, and multimodal content. * Optimize task ...
Build LLM-based methods for synthetic data generation, privacy, and context-aware anonymization, with automated evaluation across multilingual text, documents, and multimodal content. * Optimize task ...
Build LLM-based methods for synthetic data generation, privacy, and context-aware anonymization, with automated evaluation across multilingual text, documents, and multimodal content. * Optimize task ...
Build LLM-based methods for synthetic data generation, privacy, and context-aware anonymization, with automated evaluation across multilingual text, documents, and multimodal content. * Optimize task ...
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 ...
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 ...
Data Security Engineer
$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 ...
Data Security Engineer
$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 ...
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 ...
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 ...
Implement robust security measures for LLM applications, including data anonymization, prompt injection prevention, and compliance with enterprise security standards. Impact : * Innovation Leadership
Implement robust security measures for LLM applications, including data anonymization, prompt injection prevention, and compliance with enterprise security standards. Impact : * Innovation Leadership
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 ...
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 ...
Required : • Experience in several of the following privacy and security domains: anonymization / de-identification, data retention and deletion, data lineage or governance, data protection ...
Required : • Experience in several of the following privacy and security domains: anonymization / de-identification, data retention and deletion, data lineage or governance, data protection ...
Software Engineers
San Jose, CA · On-site
Preferred Qualifications: - Familiarity with privacy-enhancing technologies and data anonymization techniques. - Familiarity with basic security concepts including OWASP Top 10. - Excellent ...
Software Engineers
San Jose, CA · On-site
Preferred Qualifications: - Familiarity with privacy-enhancing technologies and data anonymization techniques. - Familiarity with basic security concepts including OWASP Top 10. - Excellent ...
Deputy City Attorney II (Intellectual Property & Cybersecurity)
Los Angeles, CA · On-site
$131K - $192K/yr
... and data anonymization. The attorney will also provide support to the procurement and contracting team with respect to information security aspects of contracts as well as handle specialized ...
Deputy City Attorney II (Intellectual Property & Cybersecurity)
Los Angeles, CA · On-site
$131K - $192K/yr
... and data anonymization. The attorney will also provide support to the procurement and contracting team with respect to information security aspects of contracts as well as handle specialized ...
Deputy City Attorney II (Intellectual Property & Cybersecurity)
CA · On-site
$131K - $192K/yr
... and data anonymization. The attorney will also provide support to the procurement and contracting team with respect to information security aspects of contracts as well as handle specialized ...
Deputy City Attorney II (Intellectual Property & Cybersecurity)
CA · On-site
$131K - $192K/yr
... and data anonymization. The attorney will also provide support to the procurement and contracting team with respect to information security aspects of contracts as well as handle specialized ...
Software Engineer, Privacy & Data Governance
San Jose, CA · On-site
$150K - $350K/yr
Develop and maintain core privacy engineering services, including systems for user control, anonymization/pseudonymization, and data retention/deletion * Collaborate with AI, engineering, and ...
Software Engineer, Privacy & Data Governance
San Jose, CA · On-site
$150K - $350K/yr
Develop and maintain core privacy engineering services, including systems for user control, anonymization/pseudonymization, and data retention/deletion * Collaborate with AI, engineering, and ...
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?
| Aspect | Data Anonymization | Data Masking |
|---|---|---|
| Purpose | To permanently remove or alter identifiable information to protect privacy | To temporarily hide sensitive data for testing or training |
| Method | Data is irreversibly transformed | Data is reversibly masked or obscured |
| Use Cases | Data sharing, privacy compliance, anonymized analytics | Testing, development, user training |
| Impact on Data | Data becomes non-identifiable and unusable for original purposes | Data 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 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:
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.
About Waymo
Sourced by ZipRecruiter
Industry
Internet and it
Company size
1,001 - 5,000 Employees
Headquarters location
Mountain View, CA, US
Year founded
2009