Research Scientist
Charlottesville, VA · On-site
... tokenization, embeddings, positional encoding, scaling) • Experience with fine-tuning techniques (supervised fine-tuning, instruction tuning, RLHF, domain adaptation) • Proficiency with AI ...
Research Scientist
Charlottesville, VA · On-site
... tokenization, embeddings, positional encoding, scaling) • Experience with fine-tuning techniques (supervised fine-tuning, instruction tuning, RLHF, domain adaptation) • Proficiency with AI ...
Senior Security Engineer, Data
Richmond, VA · On-site
$90 - $120/hr
Strong understanding of data protection techniques (DLP, encryption, tokenization) * Strong understanding of security frameworks (NIST, ISO 27001, CIS) * Experience working in enterprise IT ...
Senior Security Engineer, Data
Richmond, VA · On-site
$90 - $120/hr
Strong understanding of data protection techniques (DLP, encryption, tokenization) * Strong understanding of security frameworks (NIST, ISO 27001, CIS) * Experience working in enterprise IT ...
Engineer secure data flows with masking, tokenization, RBAC, PKI/TLS, and other governance controls. Integrate pipelines with SIEM/analytics ecosystems (Splunk, Elastic, SaaS telemetry platforms ...
Engineer secure data flows with masking, tokenization, RBAC, PKI/TLS, and other governance controls. Integrate pipelines with SIEM/analytics ecosystems (Splunk, Elastic, SaaS telemetry platforms ...
Data Security Engineer - TS/SCI with Security Clearance
Arlington, VA · On-site
$120K - $140K/yr
Design and implement data security architectures, including encryption for data at rest and in transit, tokenization, and key management using services such as KMS and HSMs. * Configure and ...
Data Security Engineer - TS/SCI with Security Clearance
Arlington, VA · On-site
$120K - $140K/yr
Design and implement data security architectures, including encryption for data at rest and in transit, tokenization, and key management using services such as KMS and HSMs. * Configure and ...
Cribl Engineer Expert with Security Clearance
Ashburn, VA · On-site
$150K - $180K/yr
Engineer secure data flows with masking, tokenization, RBAC, PKI/TLS, and other governance controls. Integrate pipelines with SIEM/analytics ecosystems (Splunk, Elastic, SaaS telemetry platforms ...
Cribl Engineer Expert with Security Clearance
Ashburn, VA · On-site
$150K - $180K/yr
Engineer secure data flows with masking, tokenization, RBAC, PKI/TLS, and other governance controls. Integrate pipelines with SIEM/analytics ecosystems (Splunk, Elastic, SaaS telemetry platforms ...
Enterprise Security Architect, Lead
Mclean, VA · On-site
$86.80 - $198/hr
Experience with data security engineering, including DLP, encryption at rest and in transit, and tokenization * Experience with security technologies such as HSMs, SASE, and cloud security platforms
Enterprise Security Architect, Lead
Mclean, VA · On-site
$86.80 - $198/hr
Experience with data security engineering, including DLP, encryption at rest and in transit, and tokenization * Experience with security technologies such as HSMs, SASE, and cloud security platforms
Application Developer
Chantilly, VA · On-site
Demonstrated experience with Elasticsearch; to include designing search functionalities, analytics, including querying, indexing, mappings, analyzers, tokenization, bulk indexing, search DSL ...
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Application Developer
Chantilly, VA · On-site
Demonstrated experience with Elasticsearch; to include designing search functionalities, analytics, including querying, indexing, mappings, analyzers, tokenization, bulk indexing, search DSL ...
Engineer secure data flows utilizing encryption, masking, tokenization, RBAC, PKI/TLS, and governance controls. * Integrate Cribl pipelines with enterprise SIEM, analytics, cloud, and telemetry ...
Engineer secure data flows utilizing encryption, masking, tokenization, RBAC, PKI/TLS, and governance controls. * Integrate Cribl pipelines with enterprise SIEM, analytics, cloud, and telemetry ...
Support complex integrations involving APIs, digital payment technologies, tokenization services, authentication solutions, transaction processing systems, and related platforms. * Diagnose and ...
Support complex integrations involving APIs, digital payment technologies, tokenization services, authentication solutions, transaction processing systems, and related platforms. * Diagnose and ...
Experience in digital assets from at least one prior role, including blockchain, distributed ledger technology (DLT), tokenization, central bank digital currencies (CBDCs), stablecoins, digital asset ...
Experience in digital assets from at least one prior role, including blockchain, distributed ledger technology (DLT), tokenization, central bank digital currencies (CBDCs), stablecoins, digital asset ...
Frontier Risk - Identification and analysis of emerging threats, including technology-driven risks, novel market structures, GenAI, tokenization, digital assets, and evolving regulatory challenges ...
Frontier Risk - Identification and analysis of emerging threats, including technology-driven risks, novel market structures, GenAI, tokenization, digital assets, and evolving regulatory challenges ...
Application Developer
Chantilly, VA · On-site
Demonstrated experience with Elasticsearch; to include designing search functionalities, analytics, including querying, indexing, mappings, analyzers, tokenization, bulk indexing, search DSL ...
Application Developer
Chantilly, VA · On-site
Demonstrated experience with Elasticsearch; to include designing search functionalities, analytics, including querying, indexing, mappings, analyzers, tokenization, bulk indexing, search DSL ...
Enterprise Security Architect, Lead
Mclean, VA · On-site +1
$86K - $198K/yr
Experience with data security engineering, including DLP, encryption at rest and in transit, and tokenization * Experience with security technologies such as HSMs, SASE, and cloud security platforms
Enterprise Security Architect, Lead
Mclean, VA · On-site +1
$86K - $198K/yr
Experience with data security engineering, including DLP, encryption at rest and in transit, and tokenization * Experience with security technologies such as HSMs, SASE, and cloud security platforms
Principal Cyber Security Architect
Richmond, VA · On-site
$140 - $200/hr
Knowledge of data protection techniques including encryption, tokenization, and data loss prevention (DLP). * Familiarity with endpoint security technologies including EDR (Endpoint Detection and ...
New
Principal Cyber Security Architect
Richmond, VA · On-site
$140 - $200/hr
Knowledge of data protection techniques including encryption, tokenization, and data loss prevention (DLP). * Familiarity with endpoint security technologies including EDR (Endpoint Detection and ...
New
Cribl Engineer (Expert)
Reston, VA · On-site
... tokenization, RBAC, PKI/TLS, and governance controls. • Integrate Cribl pipelines with enterprise SIEM, analytics, cloud, and telemetry platforms including Splunk, Elastic, Kafka, and cloud-native ...
Cribl Engineer (Expert)
Reston, VA · On-site
... tokenization, RBAC, PKI/TLS, and governance controls. • Integrate Cribl pipelines with enterprise SIEM, analytics, cloud, and telemetry platforms including Splunk, Elastic, Kafka, and cloud-native ...
Software Developer
Chantilly, VA · Hybrid
Experience creating applications that rely on tokenization * Understanding of Identity Access Management (lAM) and Zero Trust concepts * Experience building microservices * Experience with automated ...
Software Developer
Chantilly, VA · Hybrid
Experience creating applications that rely on tokenization * Understanding of Identity Access Management (lAM) and Zero Trust concepts * Experience building microservices * Experience with automated ...
Software Developer
Chantilly, VA · On-site
Experience creating applications that rely on tokenization. * Understanding of Identity Access Management (lAM) and Zero Trust concepts. * Experience building microservices. * Experience with ...
Software Developer
Chantilly, VA · On-site
Experience creating applications that rely on tokenization. * Understanding of Identity Access Management (lAM) and Zero Trust concepts. * Experience building microservices. * Experience with ...
Design and implement data security architectures, including encryption for data at rest and in transit, tokenization, and key management using services such as KMS and HSMs. * Configure and ...
Design and implement data security architectures, including encryption for data at rest and in transit, tokenization, and key management using services such as KMS and HSMs. * Configure and ...
Engineer secure data flows with masking, tokenization, RBAC, PKI/TLS, and other governance controls. Integrate pipelines with SIEM/analytics ecosystems (Splunk, Elastic, SaaS telemetry platforms ...
Engineer secure data flows with masking, tokenization, RBAC, PKI/TLS, and other governance controls. Integrate pipelines with SIEM/analytics ecosystems (Splunk, Elastic, SaaS telemetry platforms ...
Impact: * Serve as a trusted legal advisor to product, innovation, and commercial teams on emerging DeFi, tokenization, and blockchain initiatives. * Help shape legal frameworks for index ...
Impact: * Serve as a trusted legal advisor to product, innovation, and commercial teams on emerging DeFi, tokenization, and blockchain initiatives. * Help shape legal frameworks for index ...
Tokenization information
See Virginia salary details
$14.9K - $48.4K
2% of jobs
$48.4K - $81.9K
2% of jobs
$81.9K - $115.5K
6% of jobs
$115.5K - $149K
5% of jobs
$149K - $182.5K
2% of jobs
$199.3K is the 25th percentile. Wages below this are outliers.
$182.5K - $216K
14% of jobs
The median wage is $243.2K / yr.
$216K - $249.6K
22% of jobs
$249.6K - $283.1K
13% of jobs
$295.1K is the 75th percentile. Wages above this are outliers.
$283.1K - $316.6K
22% of jobs
$316.6K - $350.2K
7% of jobs
$350.2K - $383.7K
3% of jobs
$14.9K
$239.2K
$383.7K
How much do tokenization jobs pay per year?
As of Aug 12, 2026, the average yearly pay for tokenization in Virginia is $239,226.00, according to ZipRecruiter salary data. Most workers in this role earn between $198,300.00 and $297,400.00 per year, depending on experience, location, and employer.
What is a tokenization?
A Tokenization job typically involves working with financial transactions, data security, or blockchain technology to convert sensitive data into secure, non-sensitive equivalents called tokens. Professionals in this role implement tokenization systems to protect sensitive information, such as credit card numbers or personal data, from fraud or breaches. They may work with compliance teams to ensure adherence to data security regulations. The job often requires expertise in encryption, cybersecurity, and payment processing technologies.
What are some typical challenges faced in a tokenization role?
One of the main challenges in a tokenization role is staying ahead of evolving cybersecurity threats while ensuring that payment and sensitive data remain secure and compliant with industry regulations. Professionals in this role often need to balance the demands of integrating tokenization solutions with existing IT infrastructures and minimizing disruptions to business operations. Working closely with cross-functional teams—including developers, compliance officers, and external vendors—requires strong communication and project management skills. By proactively addressing these challenges, tokenization specialists play a pivotal role in protecting valuable data assets and fostering customer trust.
What are the key skills and qualifications needed to thrive in the tokenization position, and why are they important?
To thrive in a tokenization role, candidates need a solid understanding of payment card industry (PCI) standards, data security protocols, and encryption technologies, often supported by a computer science degree or relevant certifications like CISSP or CISM. Technical proficiency with tokenization platforms, cybersecurity tools, and payment processing systems is typically required. Strong analytical skills, attention to detail, and effective communication abilities are valuable soft skills for collaborating across IT and business teams. These skills are essential for protecting sensitive data, ensuring compliance, and implementing secure, seamless payment solutions.
What are the most commonly searched types of Tokenization jobs in Virginia? The most popular types of Tokenization jobs in Virginia are:
What are popular job titles related to Tokenization jobs in Virginia? For Tokenization jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Tokenization jobs in Virginia look for? The top searched job categories for Tokenization jobs in Virginia are:
University Of Virginia rating
7.9
Based on 35 frontline employees who took The Breakroom Quiz
208th of 618 rated colleges and universities
Job description
Job Summary:
The University of Virginia is a highly regarded public institution known for its commitment to academic excellence, innovation, and service. They are seeking a Research Scientist with expertise in Large Language Models (LLMs) to collaborate with researchers across disciplines, applying LLMs and AI techniques to diverse datasets to enable innovative research outcomes.
Responsibilities:
• Collaborate with researchers to understand datasets and analytical requirements
• Perform data preprocessing and analysis to identify appropriate deep learning and LLM approaches
• Select, fine-tune, and apply LLMs and AI models to complex research problems
• Optimize LLM performance on HPC systems, including parallel implementations
• Manage AI-based research projects to ensure timely delivery and scientific rigor
• Prepare technical reports, presentations, and research outputs
• Develop and deliver training sessions and workshops on LLMs for the UVA community
• Partner with the DAC team to share programming techniques and best practices
Qualifications:
Required:
• Advanced degree (Master’s or higher)
• At least 2 years of relevant work experience
• Proficiency in Python programming
• Demonstrated expertise in AI systems and machine learning algorithms
• Strong analytical and problem-solving abilities
• Excellent written and verbal communication skills
• Ability to collaborate with researchers across diverse disciplines
• Strong relationship-building skills with technical and non-technical stakeholders
• U.S. citizenship or permanent residency required due to access to high-security data environments
• Bachelor’s Degree required
• 3+ years relevant experience required
• Background check required
• This position will not sponsor applicants requiring a visa
Preferred:
• PhD in Computer Science, Electrical Engineering, Data Science, or related field
• 3+ years of academic or applied research experience
• Deep understanding of transformer architectures (attention, tokenization, embeddings, positional encoding, scaling)
• Experience with fine-tuning techniques (supervised fine-tuning, instruction tuning, RLHF, domain adaptation)
• Proficiency with AI frameworks such as PyTorch, TensorFlow, and Hugging Face
• Experience with LLM evaluation and benchmarking methodologies
• Familiarity with generative or probabilistic modeling
• Understanding of LLM risks such as hallucinations and bias, and responsible AI practices
Company:
The University of Virginia was founded in 1819 as the model for modern universities that has since been emulated all over the world. Founded in 1819, the company is headquartered in Charlottesville, USA, with a team of 10001+ employees. The company is currently Late Stage.
The University of Virginia is a highly regarded public institution known for its commitment to academic excellence, innovation, and service. They are seeking a Research Scientist with expertise in Large Language Models (LLMs) to collaborate with researchers across disciplines, applying LLMs and AI techniques to diverse datasets to enable innovative research outcomes.
Responsibilities:
• Collaborate with researchers to understand datasets and analytical requirements
• Perform data preprocessing and analysis to identify appropriate deep learning and LLM approaches
• Select, fine-tune, and apply LLMs and AI models to complex research problems
• Optimize LLM performance on HPC systems, including parallel implementations
• Manage AI-based research projects to ensure timely delivery and scientific rigor
• Prepare technical reports, presentations, and research outputs
• Develop and deliver training sessions and workshops on LLMs for the UVA community
• Partner with the DAC team to share programming techniques and best practices
Qualifications:
Required:
• Advanced degree (Master’s or higher)
• At least 2 years of relevant work experience
• Proficiency in Python programming
• Demonstrated expertise in AI systems and machine learning algorithms
• Strong analytical and problem-solving abilities
• Excellent written and verbal communication skills
• Ability to collaborate with researchers across diverse disciplines
• Strong relationship-building skills with technical and non-technical stakeholders
• U.S. citizenship or permanent residency required due to access to high-security data environments
• Bachelor’s Degree required
• 3+ years relevant experience required
• Background check required
• This position will not sponsor applicants requiring a visa
Preferred:
• PhD in Computer Science, Electrical Engineering, Data Science, or related field
• 3+ years of academic or applied research experience
• Deep understanding of transformer architectures (attention, tokenization, embeddings, positional encoding, scaling)
• Experience with fine-tuning techniques (supervised fine-tuning, instruction tuning, RLHF, domain adaptation)
• Proficiency with AI frameworks such as PyTorch, TensorFlow, and Hugging Face
• Experience with LLM evaluation and benchmarking methodologies
• Familiarity with generative or probabilistic modeling
• Understanding of LLM risks such as hallucinations and bias, and responsible AI practices
Company:
The University of Virginia was founded in 1819 as the model for modern universities that has since been emulated all over the world. Founded in 1819, the company is headquartered in Charlottesville, USA, with a team of 10001+ employees. The company is currently Late Stage.
What University Of Virginia employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About University of Virginia
Sourced by ZipRecruiter
The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.
Industry
Colleges, universities, and professional schools
Company size
10,000+ Employees
Headquarters location
Charlottesville, VA, US
Year founded
1819