ZipRecruiter

Log In

1

Data Anonymization Jobs in New York (NOW HIRING)

YO AI Labs

Data Privacy Analyst - Remote

New York, NY · Remote

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced ... Conduct spot-checks of transformed datasets to verify proper redaction, masking, or anonymization ...

NxT Level

Senior Data Engineer

Manhattan, NY · On-site

$200K - $275K/yr

Safe Harbor anonymization * Data deletion workflows * Role-based access policies * Secure datasets for analytics and AI use cases The goal is to make data highly useful without compromising patient ...

NxT Level

Senior Data Engineer

Manhattan, NY

$116K - $158K/yr

Safe Harbor anonymization * Data deletion workflows * Role-based access policies * Secure datasets for analytics and AI use cases The goal is to make data highly useful without compromising patient ...

NxT Level

Senior Data Engineer

Manhattan, NY

$116K - $158K/yr

Safe Harbor anonymization * Data deletion workflows * Role-based access policies * Secure datasets for analytics and AI use cases The goal is to make data highly useful without compromising patient ...

Robinhood

Privacy Engineer

New York, NY

You've worked with privacy-enhancing technologies and understand data anonymization and secure data lifecycle practices * You're a clear communicator who builds strong cross-functional partnerships ...

Doctronic Inc

Senior Data Engineer

New York, NY · On-site

$200K - $275K/yr

Design and enforce the access control model for patient data: row/column-level PHI restrictions, HIPAA Safe Harbor compliance, anonymization pipelines, and account deletion workflows * Establish a ...

Triwill Group

Privacy Engineer

Manhattan, NY · On-site

$140 - $190/hr

You've worked with privacy-enhancing technologies and understand data anonymization and secure data lifecycle practices * You're a clear communicator who builds strong cross‑functional partnerships ...

Robinhood

Privacy Engineer

New York, NY · On-site

$157K - $185K/yr

You've worked with privacy-enhancing technologies and understand data anonymization and secure data lifecycle practices * You're a clear communicator who builds strong cross-functional partnerships ...

Alter Domus

Data Architect

Manhattan, NY · On-site

$87.50 - $145/hr

Familiarity with anonymization and aggregation requirements -- understanding how model design supports privacy constraints. * Understanding of benchmark governance or regulated data environments.

Jobtailor

Data Engineer 2 - Guidewire

Edison, NJ · On-site

$120 - $150/hr

Understanding of data security and privacy principles, including encryption, anonymization, and access control mechanisms. * Proficient in Microsoft Office Suites. #J-18808-Ljbffr

GNY Insurance Companies

Data Engineer 2 - Guidewire

Edison, NJ · On-site

$116K - $139K/yr

Understanding of data security and privacy principles, including encryption, anonymization, and access control mechanisms. * Proficient in Microsoft Office Suites Skills: * Strong understanding of ...

MWIDM Inc.

Informatica Admin

Newark, NJ · On-site

$55.50 - $73/hr

Synthetic data generation PII anonymization Data privacy compliance Build pipelines between Informatica, databases, and Tonic AI. Automate masking and synthetic data workflows using TDM + Tonic AI.

Junior

Senior Product Manager

New York, NY · On-site

$190K - $230K/yr

Measure impact: usage metrics, adoption curves, feature engagement - and iterate based on data What ... Call anonymization - dig into how consulting clients manually create anonymized versions of ...

next page

Showing results 1-20

All JobsData Anonymization JobsData Anonymization Jobs in New York

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 New York?

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

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

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

Data Anonymization jobs near you

Data Privacy Analyst - Remote

YO AI Labs

New York, NY • Remote

Full-time

Posted 7 days ago

Job description

Data Privacy Analyst

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting sensitive information. In this role, you will review transformed datasets and documents, identify improperly handled Personally Identifiable Information (PII), and perform detailed quality checks to ensure privacy standards are consistently maintained.

Key Responsibilities
  • Conduct spot-checks of transformed datasets to verify proper redaction, masking, or anonymization of PII.
  • Review documents and datasets for sensitive or personally identifiable information.
  • Identify missed, incorrectly handled, or improperly redacted sensitive data.
  • Evaluate data against established privacy and quality standards.
  • Document discrepancies, findings, and observations using provided tools and templates.
  • Provide clear and actionable feedback to improve data privacy and review quality.
  • Maintain confidentiality and accuracy when working with sensitive information.
Required Qualifications
  • Strong understanding of PII, data privacy, and information protection practices.
  • Experience with document review, quality assurance, eDiscovery, or compliance processes.
  • Strong attention to detail and ability to identify subtle data privacy issues.
  • Experience working with sensitive or confidential information.
  • Strong analytical and written communication skills.
  • Ability to perform repetitive and detailed spot-checks while maintaining consistent accuracy.
  • Comfortable working independently in a remote environment.
Preferred Qualifications
  • Background as a Paralegal, eDiscovery Specialist, Privacy Analyst, Information Governance Specialist, Compliance Manager, or Legal Document Review Lead.
  • Experience with legal document review, litigation support, or managed legal services.
  • Familiarity with data privacy regulations and compliance requirements.
  • Experience with contract review or legal quality assurance.
  • Experience working in high-stakes environments involving sensitive data.
Core Skills

PII | Data Privacy | Document Review | Spot Checks | eDiscovery | Quality Assurance | Data Redaction | Data Anonymization | Compliance | Attention to Detail | Sensitive Data Handling