Full Stack Engineer Visa Sponsorship Jobs in Virginia
Virginia's full stack engineer market is anchored by the federal contracting corridor in Northern Virginia, with major employers like Booz Allen Hamilton, SAIC, Leidos, and Amazon Web Services consistently hiring engineers who need H-1B visa sponsorship. The D.C. metro tech cluster, alongside growing hubs in Richmond and Reston, makes Virginia one of the more active states for sponsored full stack roles.
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We are seeking a Senior Data Scientist / AI Full-Stack Engineer to design, build, and scale AI-powered analytics and application platforms. This is a hybrid role that blends data science with modern full-stack development (React/Next.js/Svelte + Node.js), with AI/ML — including natural language querying and RAG — woven through both the backend and the customer-facing product experience. You'll build the data pipelines and AI capabilities that power the platform, and ship the application layer end to end.
Key Responsibilities
AI / NLP / RAG
- Design and implement natural language querying interfaces over data ("ask a question → generate query → return visualization")
- Build and maintain RAG pipelines, vector search, and semantic query systems using LLMs (Claude or similar)
- Develop prompt engineering strategies and continuously improve AI output accuracy and relevance
- Integrate AI/ML capabilities into customer-facing UI to create smarter, adaptive user experiences
Data Science & Engineering
- Develop and maintain SQL and Python logic for data processing and analysis
- Integrate and normalize data from multiple sources (logs, APIs, databases, surveys)
- Ensure data accuracy, consistency, and performance optimization
- Implement data quality validation and monitoring processes
Full-Stack Application Development
- Architect, build, and scale the front-end application layer using React.js, Next.js, or Svelte
- Build backend services and APIs using Node.js (or FastAPI)
- Design and implement dynamic, user-configurable dashboards and visualizations (charting libraries such as ECharts, Recharts, D3, or BI tools) with filtering, drill-down, saved views, and export (PNG/CSV/PDF)
- Ensure platform is built for extensibility, performance, and long-term scalability
Delivery & Collaboration
- Deliver iteratively using Agile/SAFe methodologies (PI planning, epics/features/stories, sprint execution)
- Maintain documentation: data architecture diagrams, AI workflow and prompt design docs
- Collaborate cross-functionally with program leadership, business stakeholders, and platform engineering; translate business needs into implemented solutions
- Support platform evolution and integration with enterprise tools (e.g., Databricks, Collibra)
Required Qualifications
- 8–15 years of professional experience spanning data science and full-stack software development (exact range flexible depending on candidate strength across both sides)
- Expert-level proficiency in one or more modern UI frameworks: React.js, Next.js, or Svelte
- Strong backend experience with Node.js (or FastAPI/Python backend frameworks)
- Advanced SQL and strong Python for data processing and analysis
- Demonstrable hands-on experience with LLMs, prompt engineering, RAG, and/or vector search — not just conceptual familiarity
- Modern JavaScript (ES6+), TypeScript, HTML5, CSS3
- Experience with state management, build tools (Webpack/Vite), and testing frameworks
- Solid understanding of both SQL and NoSQL database technologies
- Experience with a major cloud platform (AWS, GCP, or Azure) and CI/CD pipelines
- Experience working in Agile and/or SAFe environments
Preferred Qualifications
- Experience building AI-powered natural language querying or "ask your data" style features in production
- A portfolio or examples of shipped AI-integrated features (chatbot, recommendation engine, NLP, computer vision, etc.)
- Familiarity with AI-specific libraries/frameworks (LangChain, TensorFlow.js)
- Exposure to Databricks and/or ETL/data pipeline frameworks
- Experience with SvelteKit
- Experience with performance monitoring/observability tools
- Knowledge of web security best practices
- Prior tech lead or architectural ownership role
Position Overview
We are seeking a Senior Data Scientist / AI Full-Stack Engineer to design, build, and scale AI-powered analytics and application platforms. This is a hybrid role that blends data science with modern full-stack development (React/Next.js/Svelte + Node.js), with AI/ML — including natural language querying and RAG — woven through both the backend and the customer-facing product experience. You'll build the data pipelines and AI capabilities that power the platform, and ship the application layer end to end.
Key Responsibilities
AI / NLP / RAG
- Design and implement natural language querying interfaces over data ("ask a question → generate query → return visualization")
- Build and maintain RAG pipelines, vector search, and semantic query systems using LLMs (Claude or similar)
- Develop prompt engineering strategies and continuously improve AI output accuracy and relevance
- Integrate AI/ML capabilities into customer-facing UI to create smarter, adaptive user experiences
Data Science & Engineering
- Develop and maintain SQL and Python logic for data processing and analysis
- Integrate and normalize data from multiple sources (logs, APIs, databases, surveys)
- Ensure data accuracy, consistency, and performance optimization
- Implement data quality validation and monitoring processes
Full-Stack Application Development
- Architect, build, and scale the front-end application layer using React.js, Next.js, or Svelte
- Build backend services and APIs using Node.js (or FastAPI)
- Design and implement dynamic, user-configurable dashboards and visualizations (charting libraries such as ECharts, Recharts, D3, or BI tools) with filtering, drill-down, saved views, and export (PNG/CSV/PDF)
- Ensure platform is built for extensibility, performance, and long-term scalability
Delivery & Collaboration
- Deliver iteratively using Agile/SAFe methodologies (PI planning, epics/features/stories, sprint execution)
- Maintain documentation: data architecture diagrams, AI workflow and prompt design docs
- Collaborate cross-functionally with program leadership, business stakeholders, and platform engineering; translate business needs into implemented solutions
- Support platform evolution and integration with enterprise tools (e.g., Databricks, Collibra)
Required Qualifications
- 8–15 years of professional experience spanning data science and full-stack software development (exact range flexible depending on candidate strength across both sides)
- Expert-level proficiency in one or more modern UI frameworks: React.js, Next.js, or Svelte
- Strong backend experience with Node.js (or FastAPI/Python backend frameworks)
- Advanced SQL and strong Python for data processing and analysis
- Demonstrable hands-on experience with LLMs, prompt engineering, RAG, and/or vector search — not just conceptual familiarity
- Modern JavaScript (ES6+), TypeScript, HTML5, CSS3
- Experience with state management, build tools (Webpack/Vite), and testing frameworks
- Solid understanding of both SQL and NoSQL database technologies
- Experience with a major cloud platform (AWS, GCP, or Azure) and CI/CD pipelines
- Experience working in Agile and/or SAFe environments
Preferred Qualifications
- Experience building AI-powered natural language querying or "ask your data" style features in production
- A portfolio or examples of shipped AI-integrated features (chatbot, recommendation engine, NLP, computer vision, etc.)
- Familiarity with AI-specific libraries/frameworks (LangChain, TensorFlow.js)
- Exposure to Databricks and/or ETL/data pipeline frameworks
- Experience with SvelteKit
- Experience with performance monitoring/observability tools
- Knowledge of web security best practices
- Prior tech lead or architectural ownership role
Full Stack Engineer Job Roles in Virginia
See all 156+ Full Stack Engineer Jobs in Virginia
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Search Full Stack Engineer Jobs in VirginiaFull Stack Engineer Jobs in Virginia: Frequently Asked Questions
Which companies sponsor visas for full stack engineers in Virginia?
Northern Virginia's federal contracting firms, including Booz Allen Hamilton, Leidos, SAIC, and Peraton, are among the most consistent H-1B sponsors for full stack engineers in the state. Amazon Web Services, Capital One, and Freddie Mac also file significant numbers of H-1B petitions for engineering roles. Consulting firms like Accenture and Deloitte, which have large Virginia presences, sponsor full stack engineers as well.
Which visa types are most common for full stack engineer roles in Virginia?
The H-1B is by far the most common visa for full stack engineers in Virginia, given that software development roles typically qualify as specialty occupations requiring a bachelor's degree in computer science or a related field. Australian citizens can pursue the E-3 visa, which has no lottery. Canadians and Mexicans may qualify under the TN visa. L-1B transfers are also used by multinational firms moving engineers to Virginia offices.
Which cities in Virginia have the most full stack engineer sponsorship jobs?
Northern Virginia, particularly the cities of McLean, Reston, Herndon, and Arlington, concentrates the majority of sponsored full stack engineering roles in the state. This corridor benefits from proximity to federal agencies and a dense cluster of government contractors and tech firms. Richmond is a secondary hub with growing fintech and health tech hiring. Virginia Beach has a smaller but active defense-tech presence.
How to find full stack engineer visa sponsorship jobs in Virginia?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can browse full stack engineer roles in Virginia without sifting through positions that don't offer sponsorship. The platform surfaces openings from federal contractors, tech companies, and consulting firms across Northern Virginia, Richmond, and beyond. Filtering by state and role on Migrate Mate is the most direct way to identify which Virginia employers are actively sponsoring full stack engineers.
Are there any Virginia-specific considerations for full stack engineers seeking sponsorship?
Virginia's concentration of federal contractors introduces a practical consideration: many roles require security clearances, which can complicate or delay H-1B sponsorship since clearances are generally not granted to non-U.S. persons. Full stack engineers should prioritize roles where clearance is preferred rather than required. Virginia's proximity to Washington D.C. also means prevailing wage determinations often reflect the D.C. metro area, which tends to be one of the higher wage tiers nationally.
What is the prevailing wage for sponsored full stack engineer jobs in Virginia?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.