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Data Anonymization Jobs (NOW HIRING)

Understanding of PII/PHI handling, data anonymization, and data governance. * Design and build user-facing applications and dashboards that surface Knowledge Graph data to end users. * Develop and ...

New

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

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

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

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 ...

Understanding of PII/PHI handling, data anonymization, and data governance. * Design and build user-facing applications and dashboards that surface Knowledge Graph data to end users. * Develop and ...

New

Understanding of PII/PHI handling, data anonymization, and data governance. * Design and build user-facing applications and dashboards that surface Knowledge Graph data to end users. * Develop and ...

New

Understanding of PII/PHI handling, data anonymization, and data governance. * Design and build user-facing applications and dashboards that surface Knowledge Graph data to end users. * Develop and ...

New

Understanding of PII/PHI handling, data anonymization, and data governance. * Design and build user-facing applications and dashboards that surface Knowledge Graph data to end users. * Develop and ...

New

Understanding of PII/PHI handling, data anonymization, and data governance. * Design and build user-facing applications and dashboards that surface Knowledge Graph data to end users. * Develop and ...

New

Understanding of PII/PHI handling, data anonymization, and data governance. * Design and build user-facing applications and dashboards that surface Knowledge Graph data to end users. * Develop and ...

New

Understanding of PII/PHI handling, data anonymization, and data governance. * Design and build user-facing applications and dashboards that surface Knowledge Graph data to end users. * Develop and ...

New

Understanding of PII/PHI handling, data anonymization, and data governance. * Design and build user-facing applications and dashboards that surface Knowledge Graph data to end users. * Develop and ...

New

Understanding of PII/PHI handling, data anonymization, and data governance. * Design and build user-facing applications and dashboards that surface Knowledge Graph data to end users. * Develop and ...

New

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Data Anonymization information

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$46K

$165K

$243.5K

How much do data anonymization jobs pay per year?

As of Aug 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:
Infographic showing various Data Anonymization job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Interoperability Engineer

Rayus Radiology

Saint Louis Park, MN • On-site

$80K - $95K/yr

Full-time

Posted 15 days ago


RAYUS Radiology rating

7.7

Company rating: 7.7 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

161st of 887 rated healthcare providers


Job description

RAYUS now offers DailyPay! Work today, get paid today!

The pay range for this position is $80,000 - $95,000 based on direct and relevant experience.

RAYUS Radiology is looking for a Senior Interoperability Engineer to join our team. We are challenging the status quo by shining light on radiology and making it a critical first step in diagnosis and proper treatment. Come join us and shine brighter together. As a Senior Interoperability Engineer, you are responsible for leading the design and implementation of data integration that efficiently process and transform raw data into usable formats. This involves working with various data sources, such as databases, APIs, and streaming platforms, and applying data integration and transformation techniques to ensure data quality and consistency. Furthermore, the Senior Interoperability Engineer will ensure the security and privacy of data. This includes implementing access controls, encryption mechanisms, and data anonymization techniques to protect sensitive information and comply with data protection regulations.

This is a full-time salaried position.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

(60%) Interface Development

  • Builds data integration: Create, maintain, and optimize workloads from development to production for specific use cases.
  • Drive automation of most-common, repeatable data preparation and integration tasks to minimize reducing defects and improving productivity.
  • Develops and enforces data integration, data quality, and change management standards across all development initiatives according to the organization's Enterprise information services policies as well as best practices.
  • Provides technical expertise working with customers, external partners, analysts and Business Users to implement complex and varied functional specifications into technical designs.
  • Leads the team in monitoring and tuning code to assure optimal availability, performance, and utilization of resources.
  • Executes and oversees the analysis and remediation of root causes, including deficiencies in technology, process, or resource capabilities.
  • Performs gap analysis and recommends best-in-class options for improvements to optimizes interfaces performance, scalability, and reliability, ensuring smooth data exchange.
  • Leads all administrative tasks for the interoperability teams such systems including backup & recovery, monitoring, health maintenance, user & security administration, performance optimization, diagnostics.
  • Mentor junior interoperability engineers

(35%) Interface Maintenance & Troubleshooting

  • Monitors the IT Service Management system and assigns new incidents or service requests to appropriate resources based on skill set and availability.
  • Leads daily review of interface or data integration issues, support requests; and ensures the accuracy and integrity of data transmitted.
  • Provides additional technical assistance, performs root cause analysis and recommends solutions to the assigned Interoperability resource or resolve data issues as needed.
  • Ensures the Interoperability team provides timely resolutions to minimize disruptions and adheres to defined service level agreements (SLAs).
  • Maintains comprehensive documentation of system configurations, procedures, and troubleshooting steps.
  • Provides off hours support for critical maintenance or problem resolution and is scheduled for rotational on-call support.

(5%) Completes other tasks and projects as assigned.

SUMMARY OF QUALIFICATIONS:

Required:

  • Bachelor's degree in computer science, Information Technology, a related field, or equivalent experience
  • 4 years of experience in data integration, ETL processes, and interface development required (e.g., HL7 v2.x, v3.x, HL7 FHIR, etc.).
  • 3 years of experience with analyzing client IT environments and messaging capabilities and finding appropriate solutions to implement data interfaces using Corepoint, Mirth or other data integration engines.

Preferred:

  • Familiarity with API design and development
  • Master's degree in a technical discipline a plus
  • Healthcare experience
  • Fast Healthcare Interoperability Resources (FHIR) expertise, such as setting up FHIR servers and an understanding of Clinical Query Language (CQL) a plus

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