E-3 Sponsorship Jobs in Virginia
Virginia is one of the stronger E-3 visa markets on the East Coast, driven by a dense concentration of federal contractors, technology firms, and consulting companies in the Northern Virginia corridor. Defense tech, cybersecurity, and professional services roles generate consistent E-3 sponsorship across the D.C. metro area and beyond.
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Get Access To All JobsABOUT THE JOB
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
MINIMUM QUALIFICATIONS
- Bachelor’s degree or equivalent practical experience.
- 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 1 year of experience implementing core ML concepts.
- 1 year of experience with data structures and algorithms.
PREFERRED QUALIFICATIONS
- Master's degree or PhD in Computer Science or related technical field.
- Experience developing accessible technologies.
- Experience with Generative AI, Agentic AI, or Large Language Models.
- Experience in Go & C++.
- Experience with major cloud platforms (GCP, cloud computing platform etc.).
- Knowledge of building scalable distributed systems.
Responsibilities
Learn more about benefits at Google.
- Design, develop, and deliver high-quality code for security products and systems.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Apply foundational Machine Learning (ML) concepts and contribute to the implementation of solutions in one or more specialized ML areas.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $123000 - $175000 (USD) + 15% bonus target + bonus + equity + benefits
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
ABOUT THE JOB
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
MINIMUM QUALIFICATIONS
- Bachelor’s degree or equivalent practical experience.
- 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 1 year of experience implementing core ML concepts.
- 1 year of experience with data structures and algorithms.
PREFERRED QUALIFICATIONS
- Master's degree or PhD in Computer Science or related technical field.
- Experience developing accessible technologies.
- Experience with Generative AI, Agentic AI, or Large Language Models.
- Experience in Go & C++.
- Experience with major cloud platforms (GCP, cloud computing platform etc.).
- Knowledge of building scalable distributed systems.
Responsibilities
Learn more about benefits at Google.
- Design, develop, and deliver high-quality code for security products and systems.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Apply foundational Machine Learning (ML) concepts and contribute to the implementation of solutions in one or more specialized ML areas.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $123000 - $175000 (USD) + 15% bonus target + bonus + equity + benefits
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Search E-3 Jobs by Industry in Virginia
Tips for Finding E-3 Sponsorship Jobs in Virginia
Focus on the Northern Virginia tech corridor
The stretch from Arlington to Tysons Corner to Reston hosts some of the highest concentrations of E-3-sponsoring employers in the country. Federal contractors and technology companies in this corridor file Labor Condition Applications regularly for specialty occupation roles.
Target federal contractor and defense tech firms specifically
Virginia's economy is anchored by federal contracting. Companies supporting government IT, cybersecurity, and intelligence agencies regularly sponsor E-3 visas for engineers, analysts, and technical consultants. Look for firms holding active government contracts when searching for roles.
Search Migrate Mate for Virginia-specific E-3 openings
Migrate Mate filters job listings by visa type and state, so you can browse E-3-sponsoring employers in Virginia without manually screening out roles that don't support sponsorship. This saves significant time during a targeted job search.
Verify specialty occupation eligibility before applying
E-3 sponsorship requires the role to qualify as a specialty occupation, meaning a bachelor's degree or higher in a specific field must be a genuine requirement. Review the job description carefully for degree requirements before investing time in applications.
Look beyond Tysons and Arlington into Richmond and Hampton Roads
Virginia's E-3 opportunities extend outside Northern Virginia. Richmond has growing finance and healthcare sectors, while Hampton Roads supports engineering and logistics roles connected to naval and military operations. Both markets see regular E-3 filings.
Use OFLC disclosure data to identify Virginia's active E-3 sponsors
The Department of Labor publishes quarterly LCA disclosure data at flag.dol.gov. Searching Virginia filings shows which employers have actively sponsored E-3 workers, giving you a verified list of companies worth targeting before you apply.
See all 2,365+ E-3 jobs in Virginia
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 jobs in Virginia.
Get Access To All JobsE-3 Jobs in Virginia: Frequently Asked Questions
Which industries in Virginia sponsor the most E-3 visas?
Information technology, federal contracting, cybersecurity, and management consulting generate the largest share of E-3 visa sponsorship in Virginia. The state's proximity to Washington, D.C. drives strong demand for software engineers, systems analysts, and IT consultants working on government and commercial projects. Professional services and financial services firms in Northern Virginia also file E-3 Labor Condition Applications consistently.
Which cities in Virginia have the most E-3 sponsorship jobs?
Northern Virginia, specifically the Arlington, Tysons Corner, Reston, and McLean corridor, has the highest concentration of E-3 sponsoring employers in the state. Herndon and Chantilly also have significant employer density due to federal contractor presence. Richmond is the next most active market, particularly in finance, consulting, and healthcare, followed by Hampton Roads for engineering and defense-related roles.
What types of roles typically qualify for E-3 sponsorship in Virginia?
Roles that qualify for E-3 sponsorship must meet the specialty occupation standard, requiring at least a bachelor's degree in a specific field directly related to the position. In Virginia, this commonly includes software engineers, cybersecurity analysts, systems architects, data scientists, financial analysts, management consultants, and civil or electrical engineers. Roles where any bachelor's degree is accepted regardless of field generally do not qualify.
How do I find E-3 sponsorship jobs in Virginia?
Migrate Mate is built specifically for this search, letting you filter by visa type and state to surface E-3-sponsoring employers in Virginia without manually screening listings. You can also search the Department of Labor's OFLC disclosure database at flag.dol.gov to identify Virginia employers who have filed E-3 Labor Condition Applications. Targeting federal contractors and technology firms in Northern Virginia directly is another effective approach.
What is the prevailing wage for E-3 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.