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Data Anonymization Jobs in Texas (NOW HIRING)

Build technical patterns for data minimization, anonymization, pseudonymization, tokenization, encryption, masking, and secure data sharing. - Act with Integrity * Partner with Legal, Privacy ...

Build technical patterns for data minimization, anonymization, pseudonymization, tokenization, encryption, masking, and secure data sharing. - Act with Integrity * Partner with Legal, Privacy ...

Senior AI Engineer

Austin, TX · On-site

$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 ...

Senior Data Architect - Lima, Peru

Plano, TX · On-site

$62.75 - $84.25/hr

Champion data privacy and security principles in architectural design, including data lineage tracking, access controls, and anonymization strategies for sensitive healthcare data. AI & Analytics ...

Senior DevOps Engineer

Dallas, TX · Hybrid

$128K - $165K/yr

Enforce data masking and PII anonymization for nonproduction environments * Validate data integrity and consistency postrefresh Observability, Reliability & Operations * Define and enforce ...

VP of Engineering

Austin, TX · Remote

$200K - $230K/yr

... safe anonymization), accelerating future onboardings. * Partner with product and founders on ... Experience with industrial/physical systems and data platforms: IoT/edge computing, streaming ...

Senior AI Cloud Developer

Houston, TX · On-site

$53.75 - $73.50/hr

Implementing required security and privacy controls when developing AI-enabled prototypes, including proper data handling, masking/anonymization, and secure storage based on defined standards.

Senior AI ML Cloud Developer

Dallas, TX

$54 - $71.25/hr

Implementing required security and privacy controls when developing AI-enabled prototypes, including proper data handling, masking/anonymization, and secure storage based on defined standards.

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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?

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.

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.
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What cities in Texas are hiring for Data Anonymization jobs? Cities in Texas with the most Data Anonymization job openings:
Infographic showing various Data Anonymization job openings in Texas as of June 2026, with employment types broken down into 4% As Needed, 17% Full Time, 59% Part Time, 3% Temporary, 15% Contract, and 2% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Staff Engineer - Data/AI Platform Engineer

Staff Engineer - Data/AI Platform Engineer

Apex Systems

Austin, TX • On-site

Other

Medical, Dental, Vision, Life, Retirement

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


Job description

Job#: 3036747
Job Description:
Staff Engineer - Data/AI Platform Engineer
Location: Austin, Texas (Onsite)
Role Overview
This position requires a technical leader to define, own, and evolve the architecture of enterprise data and AI platforms. The role involves designing and implementing scalable, secure, and compliant data systems, influencing cross-team technical decisions, and driving platform strategy across data ingestion, storage, processing, and access layers.
Key Responsibilities
  • Define and own the architecture of enterprise data platforms spanning data lakes, document management systems (DMS), and AI pipelines.
  • Lead the design and implementation of scalable, secure, and compliant data systems.
  • Establish best practices for data governance, cataloging, lineage, and compliance using tools such as Microsoft Purview.
  • Design and implement data anonymization and privacy-preserving pipelines, ensuring adherence to data protection frameworks.
  • Define architecture for ML model deployment, inference, and lifecycle management.
  • Partner with Data Science teams to productionize models and improve reliability.
  • Ensure platform scalability, availability, and performance under production workloads.
  • Lead complex, cross-functional initiatives and mentor other engineers to raise engineering quality.
Required Qualifications
  • 8+ years of experience in data engineering, platform engineering, or backend systems.
  • Deep expertise in Python and large-scale data processing systems.
  • Strong experience designing and implementing data lake architectures and distributed data pipelines.
  • Proven experience with ML model deployment, inference systems, and MLOps practices.
  • Hands-on experience with data governance tools (e.g., Purview or equivalent).
  • Strong understanding of data privacy, anonymization, and compliance frameworks.
  • Experience building and scaling ETL/ELT pipelines in production environments.
  • Solid experience with cloud platforms (Azure preferred).
  • Proven ability to lead complex technical initiatives without formal authority.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
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