Analytics Engineer Visa Sponsorship Jobs in Virginia
Analytics engineer visa sponsorship jobs in Virginia are concentrated in the Northern Virginia tech corridor, where employers like Booz Allen Hamilton, Leidos, Capital One, and Amazon Web Services operate major data and analytics divisions. Federal contracting firms around the DC metro area and fintech companies in McLean and Arlington regularly hire analytics engineers and support H-1B sponsorship.
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Get Access To All JobsThe application window will be open until at least March 09, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Reston, VA, USA; Boulder, CO, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA.
MINIMUM QUALIFICATIONS:
- Bachelor's degree or equivalent practical experience.
- 6 years of experience with cloud native architecture in a customer-facing or support role.
- Experience with Big Data technologies or concepts (e.g., analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, Spark, performance or scalability optimizations, batch versus streaming).
- Experience using programming languages to design demos, prototypes, or workshops for customers.
- Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools, and data governance on cloud native architectures.
PREFERRED QUALIFICATIONS:
- Experience engaging with, presenting to, or influencing technical stakeholders or executive leaders.
- Experience with architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.
- Experience with cloud products and differentiation from competition.
- Experience in technical sales or consulting in cloud computing, data analytics, and Big Data.
About the job
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
Our mission is to partner with GPS field teams to provide the technical expertise necessary to ensure our customers adopt Google Cloud successfully. We work to be the technologists across AI/ML, application and infrastructure modernization, networking, databases, analytics, and security.
As a Data and Analytics Customer Engineering Specialist in Google Public Sector (GPS), you'll leverage your experience and thought leadership to empower sales teams in incubating, piloting, and deploying Google Cloud's industry-leading data portfolio.
You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills. Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.
The US base salary range for this full-time position is $125,000-$183,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Partner with technical sales teams to differentiate Google Cloud to our customers.
- Serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads.
- Leverage expertise in our strategic product areas, in partnership with Platform Customer Engineers, to design data foundation architectures and develop MVPs (Minimum Viable Products) to sell new, highly specialized solutions to customers.
- Solve analytics-centered customer issues and provide a critical feedback loop to unblock customers and influence product development.
- Serve as a trusted advisor and data architect for our customers and lead their data migration workloads to Google Cloud.
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.
The application window will be open until at least March 09, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Reston, VA, USA; Boulder, CO, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA.
MINIMUM QUALIFICATIONS:
- Bachelor's degree or equivalent practical experience.
- 6 years of experience with cloud native architecture in a customer-facing or support role.
- Experience with Big Data technologies or concepts (e.g., analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, Spark, performance or scalability optimizations, batch versus streaming).
- Experience using programming languages to design demos, prototypes, or workshops for customers.
- Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools, and data governance on cloud native architectures.
PREFERRED QUALIFICATIONS:
- Experience engaging with, presenting to, or influencing technical stakeholders or executive leaders.
- Experience with architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.
- Experience with cloud products and differentiation from competition.
- Experience in technical sales or consulting in cloud computing, data analytics, and Big Data.
About the job
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
Our mission is to partner with GPS field teams to provide the technical expertise necessary to ensure our customers adopt Google Cloud successfully. We work to be the technologists across AI/ML, application and infrastructure modernization, networking, databases, analytics, and security.
As a Data and Analytics Customer Engineering Specialist in Google Public Sector (GPS), you'll leverage your experience and thought leadership to empower sales teams in incubating, piloting, and deploying Google Cloud's industry-leading data portfolio.
You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills. Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.
The US base salary range for this full-time position is $125,000-$183,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Partner with technical sales teams to differentiate Google Cloud to our customers.
- Serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads.
- Leverage expertise in our strategic product areas, in partnership with Platform Customer Engineers, to design data foundation architectures and develop MVPs (Minimum Viable Products) to sell new, highly specialized solutions to customers.
- Solve analytics-centered customer issues and provide a critical feedback loop to unblock customers and influence product development.
- Serve as a trusted advisor and data architect for our customers and lead their data migration workloads to Google Cloud.
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.
Analytics Engineer Job Roles in Virginia
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Search Analytics Engineer Jobs in VirginiaAnalytics Engineer Jobs in Virginia: Frequently Asked Questions
Which companies sponsor visas for analytics engineers in Virginia?
Major sponsors in Virginia include Booz Allen Hamilton, Leidos, General Dynamics, Capital One, Amazon Web Services, and Deloitte, all of which maintain large data engineering practices in the Northern Virginia area. Federal contractors dominate the market here, though fintech and cloud infrastructure firms in McLean, Tysons Corner, and Arlington also have active sponsorship histories for analytics engineer roles.
Which visa types are most common for analytics engineer roles in Virginia?
The H-1B is the most common visa for analytics engineers in Virginia, given that the role consistently qualifies as a specialty occupation requiring a bachelor's degree in computer science, statistics, or a related field. Candidates from Australia may be eligible for the E-3 visa. Those with Canadian or Mexican citizenship can explore the TN visa under the USMCA, which covers software engineers and computer systems analysts.
Which cities in Virginia have the most analytics engineer sponsorship jobs?
Northern Virginia, particularly Arlington, McLean, Tysons Corner, and Reston, accounts for the large majority of analytics engineer sponsorship activity in the state. This corridor sits adjacent to Washington, DC, and hosts the headquarters or major offices of dozens of federal contractors and technology companies. Richmond is a secondary market, driven by Capital One's corporate campus and a growing fintech presence.
How to find analytics engineer visa sponsorship jobs in Virginia?
Migrate Mate is built specifically for international candidates and filters analytics engineer roles in Virginia by visa sponsorship eligibility, saving you from applying to positions that won't support your work authorization. Northern Virginia's federal contracting sector and its cloud infrastructure firms post sponsorship-eligible analytics engineer openings regularly on Migrate Mate, making it a practical starting point for your Virginia job search.
Are there any Virginia-specific considerations for analytics engineers seeking visa sponsorship?
Virginia's proximity to Washington, DC means a significant share of analytics engineer roles at federal contractors require security clearances, which can complicate or effectively exclude candidates who are not U.S. citizens or permanent residents. Focusing on commercial employers, such as fintech firms in Richmond or cloud companies in Northern Virginia, is generally more practical for candidates on work visas. Virginia universities like Virginia Tech and George Mason also feed strong domestic pipelines into these employers.
What is the prevailing wage for sponsored analytics 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.
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