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Data Anonymization Jobs (NOW HIRING)

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 ...

MasterCard

Counsel

Atlanta, GA

Demonstrated experience in relevant technologies including data anonymization, privacy enhancing technologies, and artificial intelligence, and familiarity with ethical frameworks, data governance ...

Mastercard, Inc.

Counsel

Atlanta, GA · On-site

... data anonymization, privacy enhancing technologies, and artificial intelligence, and familiarity with ethical frameworks, data governance, and accountability. • Familiarity with emerging ...

Honeywell

Lead Data Engineer

Atlanta, GA · On-site

Build production GenAI pipelines- RAG workflows, document ingestion, PII anonymization and vector database infrastructure. * Collaborate with data scientists and AI engineers to deliver high-quality ...

Osano

Senior AI Engineer

Austin, TX

$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 ...

10a Labs

Data Engineer, Web Scraping

Washington, DC · Remote

$105K - $125K/yr

Prepare data for further analysis, including data cleaning, transformation, anonymization, and masking; * Contribute to the development of internal and external APIs, following best practices;

Msk

Assistant General Counsel, Privacy

New York, NY · On-site

Experience implementing the practical requirements of data privacy laws, including individual data subject rights and requirements for de-identification and data anonymization. * Demonstrated ...

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All JobsData Anonymization Jobs

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:
Data Anonymization jobs near you
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.
Full Stack Developer (.Net)

Full Stack Developer (.Net)

DivIHN Integration Inc

Saint Paul, MN • On-site

$75 - $80/hr

Contractor

Posted 2 days ago

Job description

DivIHN (pronounced “divine”) is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.

Visit us at https://divihn.com/find-a-job/ to learn more and view our open positions.

 
Please apply or call one of us to learn more

For further inquiries about this opportunity, please contact one of our Talent Specialists, Lavanya at (224) 369 0873 , (or) Ragu at (224) 704 1713 .

Title: Full Stack Developer (.Net) 
Duration: 12 Months (with possible extension)
Location: St. Paul, MN

Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered.

Job Description:
  • We are seeking a Full‑Stack Developer with strong experience in backend development using C#/.NET and frontend development using Angular, along with solid data engineering skills.
  • This role will support the development and enhancement of a data platform used for ingesting, managing, and analyzing large‑scale imaging and electrophysiology procedural datasets.
  • The ideal candidate is hands‑on across the full stack and comfortable working with data pipelines, APIs, and scalable enterprise systems.
Key Responsibilities
  • Design and develop full stack web applications for data ingestion, management, visualization, and labeling
  • Build and maintain backend services and REST APIs to support data workflows
  • Design and implement data pipelines for ingesting, transforming, and storing large datasets
  • Integrate data from multiple external systems and sources
  • Support longitudinal data tracking and versioning across datasets
  • Collaborate closely with data scientists, R&D engineers, and domain experts
  • Ensure performance, reliability, and maintainability of the platform
  • Follow best practices for data security, privacy, and compliance
Required Skills & Qualifications
Full Stack Development
  • Strong experience in full stack development (frontend and backend)
  • Strong experience with C# and .NET (.NET Core / .NET Framework)
  • Frontend: Strong experience with Angular (TypeScript, HTML, CSS)
  • Experience with RESTful APIs and microservices architecture
Data Engineering
  • Experience designing and building data pipelines (ETL/ELT)
  • Strong data modeling skills
  • Experience with PostgreSQL and NoSQL databases
  • Familiarity with cloud based data storage and compute (Azure preferred)
Preferred / Nice to Have Skills
  • Experience working with large imaging and time series datasets
  • Exposure to healthcare, clinical, or regulated data environments
  • Familiarity with data anonymization or pseudonymization techniques
  • Experience supporting ML/AI data preparation workflows
  • DevOps experience (CI/CD pipelines, containerization)
Deliverables & Expectations
  • Scalable and reliable data ingestion and management capabilities
  • Well documented, production quality code
  • Improved support for longitudinal and multi source data workflows
  • Close collaboration with internal teams to meet project timelines

About us:
DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.

DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.