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Remote Natural Language Processing Engineer Jobs in Virginia

System Engineer I

Herndon, VA ยท On-site +1

$177K - $210K/yr

06-Mar-2026 Semantic Model Developer US (Remote), US-Herndon-VA, US-Herndon-VA (Hybrid), US-Tampa ... Support Snowflake Cortex Analyst capabilities, enabling natural language querying on governed ...

System Engineer II

Herndon, VA ยท On-site +1

$100K - $137K/yr

06-Mar-2026 Semantic Model Specialist US (Remote), US-Herndon-VA, US-Herndon-VA (Hybrid), US-Tampa ... Support Snowflake Cortex Analyst capabilities, enabling natural language querying on governed ...

Data Scientist (Generative AI)

Mclean, VA ยท On-site +1

$125K - $160K/yr

Deep knowledge of natural language processing techniques, including tokenization, embeddings, attention mechanisms, and prompt engineering. * Hands-on experience with large language models (e.g., GPT ...

Data Scientist (Generative AI)

Mclean, VA ยท On-site +1

$125K - $160K/yr

Deep knowledge of natural language processing techniques, including tokenization, embeddings, attention mechanisms, and prompt engineering. * Hands-on experience with large language models (e.g., GPT ...

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Remote Natural Language Processing Engineer information

See Virginia salary details

$49.1K

$91.2K

$141.3K

How much do remote natural language processing engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for remote natural language processing engineer in Virginia is $91,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,900.00 and $102,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Natural Language Processing Engineer, and why are they important?

To succeed as a Remote Natural Language Processing Engineer, you need strong programming skills in Python, a solid understanding of machine learning and linguistics, and a relevant degree in computer science or a related field. Familiarity with NLP libraries (such as NLTK, spaCy, or Hugging Face Transformers), cloud platforms, and version control systems is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication are crucial soft skills for this position. These abilities enable engineers to build robust language models, collaborate efficiently across distributed teams, and deliver impactful NLP solutions.

What is the difference between Remote Natural Language Processing Engineer vs Remote Data Scientist?

AspectRemote Natural Language Processing EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in CS, NLP, or related; experience with NLP frameworksBachelor's or Master's in CS, Statistics, or related; experience with data analysis
Work EnvironmentFocus on NLP projects, language models, text analysisBroader data analysis, predictive modeling, data visualization
Industry UsageTech, AI, research, companies developing language-based productsFinance, healthcare, tech, consulting, across various sectors

Remote Natural Language Processing Engineers specialize in language-specific AI models and text analysis, while Remote Data Scientists work on broader data analysis and predictive modeling. Both roles require strong technical skills and often overlap in data handling, but NLP Engineers focus more on language data and models.

What does a Remote Natural Language Processing Engineer do?

A Remote Natural Language Processing (NLP) Engineer specializes in developing systems that enable computers to understand, interpret, and generate human language. They work on tasks such as text classification, sentiment analysis, machine translation, and chatbot creation, often utilizing machine learning and deep learning techniques. Working remotely, they collaborate with data scientists, software engineers, and product teams to build and optimize NLP models for various applications. Their work helps improve the way machines interact with people through written and spoken language.

How do Remote Natural Language Processing Engineers typically collaborate with other team members across different time zones?

Remote Natural Language Processing Engineers often work with cross-functional teams, including data scientists, software developers, and product managers, who may be distributed globally. Effective collaboration usually involves leveraging tools like Slack, Jira, and video conferencing to maintain clear communication and coordinate project updates. Flexibility in scheduling and strong documentation skills are important to ensure everyone stays aligned despite time zone differences. Regular virtual meetings and asynchronous communication help address challenges and keep projects on track.
What are the most commonly searched types of Natural Language Processing Engineer jobs in Virginia? The most popular types of Natural Language Processing Engineer jobs in Virginia are:
What are popular job titles related to Remote Natural Language Processing Engineer jobs in Virginia? For Remote Natural Language Processing Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Natural Language Processing Engineer jobs in Virginia look for? The top searched job categories for Remote Natural Language Processing Engineer jobs in Virginia are:
What cities in Virginia are hiring for Remote Natural Language Processing Engineer jobs? Cities in Virginia with the most Remote Natural Language Processing Engineer job openings:
Enterprise Data Catalog Specialist

Enterprise Data Catalog Specialist

Dynanet Corporation

Falls Church, VA โ€ข Remote

Other

Medical, Dental, Retirement, PTO

Posted 25 days ago


Job description

Position Details:ย 

Job Title: Enterprise Data Catalog Specialistย 

Job Type: Full-timeย 

Location: Falls Church, VA area (hybrid/remote with periodic on-site collaboration required) ย 

Dynanetย Corporation Overview:ย 

Dynanet started with a focus on IT infrastructure and operations, helping organizations enhance their networks and overcome the limitations of 1990s technology. From strengthening communication channels to introducing innovative ways to collaborate and share information, Dynanet played a crucial role in shaping the early stages of digital transformation. The companyโ€™s efforts helped organizations build the very fabric of connectivity that now powers our modern world. Over the last three decades, Dynanet has grown into a trusted partner for organizations looking to innovate boldly and transform seamlessly. While technology continues to evolve and unlock new opportunities, for nearly 30 years, Dynanet remains committed to delivering cutting-edge solutions that drive lasting change for its customers. Through agility, foresight, and an unwavering dedication to excellence, Dynanet continues to empower organizations to thrive in a rapidly changing digital landscape. Our story is more than just a story of technology โ€“ itโ€™s a story of vision, growth, and transformation that has shaped the past and continues to pave the way for the future.ย 

About the Role:ย 

The Enterprise Data Catalog Specialist will focus on enterprise data catalog platform evaluation, implementation, and optimization for Federal healthcare organizations. This role leads the technical assessment of Commercial Off-The-Shelf (COTS) catalog solutions, oversees self-service portal development, and manages federated catalog integration with external systems. The specialist ensures catalog platforms meet enterprise requirements and deliver effective end-user experiences.ย 

Roles & Responsibilities:ย 

  • Lead Analysis of Alternatives (AoA) activities for enterprise data catalog platform selection, evaluating at least four COTS solutions against functionality, scalability, and cost-effectiveness criteriaย ย 
  • Conduct comprehensive platform assessments including vendor demonstrations, capability mapping, Total Cost of Ownership (TCO) analysis, and technical architecture evaluationย ย 
  • Design and implement interim centralized repositories using approved Federal platforms with automated governance workflows and validation rulesย 
  • Oversee self-service portal development including semantic search capabilities, Natural Language Processing (NLP)-enabled discovery, and role-based access controls (RBAC)ย 
  • Execute User Acceptance Testing (UAT) coordination with Federal stakeholders including structured testing scenarios and usability evaluationย 
  • Manage federated catalog integration including metadata exchange with external catalogs, schema mapping, and synchronization processesย 
  • Develop and maintain Application Programming Interface (API) integrations for catalog interoperability and data discovery capabilitiesย 
  • Create role-based user documentation including training materials, best practices guides, and operational procedures for catalog usersย 
  • Monitor catalog usage analytics, performance metrics, and adoption trends to optimize user experienceย 
  • Support transition planning and sustainment activities for long-term catalog operationsย 

Required Professional Skills:ย 

  • 5+ years of experience as a database administratorย 
  • 3+ years of experience working with enterprise data / multiple databasesย 
  • Experience with multiple database types, including relational, non-relational, and object-oriented, both on-premises and in the cloudย 
  • Ability to translate technical knowledge into strategic recommendationsย 
  • Experience with COTS platform evaluations and vendor assessment processesย 
  • Knowledge of enterprise data catalog platforms and self-service data discovery toolsย 
  • Proficiency in API development and integration for federated systemsย 
  • Understanding of semantic search and NLP technologies for data discoveryย 

Preferred Professional Skills:ย 

  • 7+ years of experience as a database administratorย 
  • 5+ years of experience working with enterprise data / multiple databasesย 
  • Ability to engage with various stakeholders verbally and in writingย 
  • Experience crafting data policies and procedures at the enterprise levelย 
  • Experience with federated catalog architectures and metadata exchange protocolsย 
  • Knowledge of data catalog COTS solutions and platform selection methodologiesย 
  • Understanding of user experience design and usability testing for enterprise applicationsย 
  • Experience with cloud-based catalog platforms and API integration patternsย 

Dynanetย Team Requirements and Expectations:ย 

  • Possess Strong written and verbal communication skills.ย 
  • Highly organized with an ability to prioritize, balance, and effectively advance multiple competing priorities in a high-volume, fast-paced environment.ย 
  • Ability to interact in a professional and collaborative manner with fellow Dynanet Teammates and the clients, and business partners that we work with.ย 
  • Ability and desire to challenge and educate yourself to support and advance IT services delivery in the Federal agencies we serve.ย 
  • Excellent judgment and creative problem-solving skills.ย 
  • Respond to team member and client requests via email, MS teams, or other communication means during core business hours.ย 
  • Active listening skills to understand clients' needs, and collaboration skills to work with other developers and designers.ย 

Education/Experience Requirements:ย 

  • BA in information technology, computer science, data science, or health information management (MA preferred)ย 
  • Active DoD High Risk Public Trust designation (Active DoD security clearance preferred)ย 
  • Technical certification(s) in compliance with DoD Directive 8140 (CompTIA Sec+, CISSP, CISM, CEH, etc.) are preferredย 
  • Current database certifications are preferred (AWS, Azure, CDMP, Oracle SQL, IBM DB2, etc.).ย 

Employee Benefits Overview:ย 

  • Industry Competitive Compensationย 
  • Medical and Dental Insuranceย 
  • Paid Time Off/Holidaysย 
  • 401(k) Retirement Plans with Matchingย 
  • Remote Work*ย 
  • Paid Trainingย 
  • Employee Referral Program
  • Employee Development Programย 

*Remote work available with requirement for periodic on-site collaboration in Falls Church, VA area.ย