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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

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

$95K - $126K/yr

Implement data anonymization, quality checks, lineage, and controls for handling sensitive information.* Provide Technical Leadership: Offer hands-on leadership across data engineering projects.

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

Lead Service Management Engineer

O Fallon, MO · On-site

$95K - $126K/yr

Implement data anonymization, quality checks, lineage, and controls for handling sensitive information.* Provide Technical Leadership: Offer handson leadership across data engineering projects.

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

Showing results 41-60

Data Anonymization information

See salary details

$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.

Knowledge Engineer - Back End

Accenture

Hartford, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

44th of 482 rated business services


Job description

We Are:

Accenture is a global professional services and solutions company that helps leading organizations reinvent with digital, cloud, data, and AI capabilities, drawing on its large global workforce, industry expertise, and ecosystem partnerships to create 360 value.

By combining hands-on engineering with deep industry context, we help organizations build their digital core, modernize operations, unlock value from data and AI, and deliver tangible business outcomes at speed and scale.

You Are:

We are looking for a Back-End Engineer to design, build, and operate the data infrastructure and services that power our AI-driven knowledge platform. You will work across the full back-end stack - architecting APIs, building data pipelines, managing multi-modal database systems, and owning the reliability and performance of the services that application and product teams depend on. You bring strong engineering fundamentals and are equally comfortable designing a relational schema, tuning a graph query, standing up a vector store, or shipping a production-grade REST API. Knowledge graph and semantic technology experience is central to this role, but the work extends across the broader data and service layer: ingestion, transformation, storage, retrieval, and delivery at enterprise scale.

Key Responsibilities:

  • Hydrate structured and semi-structured data into Knowledge Graphs by mapping source data to ontology models.

  • Develop data mapping and transformation workflows using R2RML or similar technologies.

  • Write and optimize SPARQL queries for graph loading, validation, and retrieval.

  • Build and maintain data ingestion pipelines and integrate data from enterprise systems.

  • Design and optimize relational database schemas and queries to support efficient graph hydration and ETL workflows.

  • Deploy, configure, and maintain vector database infrastructure for embedding storage, indexing, and semantic retrieval at scale.

  • Design and maintain scalable graph query APIs consumed by internal application and product teams.

  • Performance-tune graph database queries, indexing strategies, and data access patterns.

  • Own containerization, deployment, and monitoring of graph services in cloud environments.

  • Ensure data quality, ontology alignment, and secure handling of sensitive data (PII/PHI).

  • Collaborate with ontologists, architects, and application teams to support Knowledge Graph implementations.

This role is hybrid in nature and will require time in office and traveling to client locations. Travel can be between 20-80%

Here's What You Need:

  • Minimum 3 years experience in Knowledge Graph data hydration and ontology-based data mapping, including strong understanding of RDF, SPARQL, and semantic technologies.

  • Minimum 3 years experience with R2RML or similar mapping frameworks for transforming relational data into graph models.

  • Minimum 3 years experience with graph databases (e.g., StarDog, GraphWise, Neo4J), along with Elasticsearch/OpenSearch. including strong SQL proficiency.

  • Minimum 3 years hands-on experience with relational databases (e.g., PostgreSQL, MySQL, or SQL Server), including schema design, indexing, and query optimization.

  • Minimum 3 years experience deploying and operating vector databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) in production environments.

  • Minimum 3 years Proficiency in Python or Java for automation, integration, and service development and experience designing and documenting REST APIs for internal consumers.

  • Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience

Bonus Points if You Have:

  • Familiarity with containerization tools (Docker, Kubernetes).

  • Knowledge of data ingestion pipelines, ETL/integration, and enterprise system integration.

  • 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 maintain REST and GraphQL APIs bridging graph backends and frontend clients.

  • Experience with graph visualization libraries (D3.js, Cytoscape.js).

  • Familiarity with a BFF (Backend for Frontend) or API gateway pattern.

  • Experience with AI agent-driven pipelines or RAG architectures.

  • Understanding of Federated Knowledge Graph architectures.

  • Experience working across Development, Test, UAT, and Production environments.

  • Cloud platform experience (AWS Neptune, Azure Cosmos DB, or GCP).

  • Experience with event-driven architectures and message queuing (Kafka, RabbitMQ).

  • Familiarity with infrastructure-as-code tools (Terraform, Helm).

  • Experience with database replication, partitioning, and high-availability patterns for relational systems.

  • Familiarity with vector embedding pipelines and strategies for chunking, re-ranking, and retrieval optimization.


Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 09/30/2026.
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture


Role Location Hourly Salary Range
California $30.67 to $94.23
Cleveland $28.41 to $75.38
Colorado $30.67 to $81.39
District of Columbia $32.69 to $86.68
Illinois $28.41 to $81.39
Maine $26.15 to $69.38
Maryland $30.67 to $81.39
Massachusetts $30.67 to $86.68
Minnesota $30.67 to $81.39
New York $28.41 to $94.23
New Jersey $32.69 to $94.23
Virginia $28.41 to $86.68
Washington $32.69 to $86.68

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities.Read more here

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us anemailor speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, pleaseclick herefor additional important information.

Please read Accenture'sRecruiting and Hiring Statementfor more information on how we process your data during the Recruiting and Hiring process.


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