Data Manager Visa Sponsorship Jobs in Virginia
Virginia's data manager job market is concentrated in the Northern Virginia tech corridor, with major employers like Booz Allen Hamilton, Leidos, and Amazon Web Services regularly hiring for data management roles. The state's dense cluster of federal contractors and cloud computing firms makes it one of the more active markets for data manager visa sponsorship on the East Coast.
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AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
For over 15 years, Amazon Web Services (AWS) has been the world’s most comprehensive and broadly adopted cloud computing platform. What is cloud computing? Cloud computing is the on-demand delivery of IT resources over the Internet.
In 2019, Amazon announced The Climate Pledge, which includes our commitment to power our operations with 100% renewable energy by 2025, on the path to achieving net zero carbon across our businesses by 2040.
To learn more about AWS, visit https://aws.amazon.com and https://sustainability.aboutamazon.com/environment/the-cloud.
The ideal candidate is a mid-level data engineer who takes ownership of tools and technologies, demonstrates strong data analytics capabilities, and works independently while knowing when to seek guidance. They balance short and long-term priorities, mitigate risks, and deliver practical, scalable solutions. They communicate clearly with stakeholders at all levels, contribute to team growth through mentoring, and collaborate effectively across functions. A genuine commitment to diversity, equity, and inclusion guides how they build products and work with others.
Key job responsibilities
- Build and maintain integrated environmental data solutions connected to internal digital tools, supporting due diligence, permitting, design, and construction tracking workflows.
- Develop monitoring and tracking systems that apply analytics to environmental metrics, including due diligence risk, permitting delivery timelines, and construction risk indicators.
- Implement predictive analytics models to forecast environmental risks and support automated risk assessment processes.
- Design and maintain intelligent data pipelines and real-time monitoring dashboards that convert environmental compliance data into actionable insights.
- Integrate environmental technology solutions with existing systems and data architectures, partnering with stakeholders to translate business requirements into practical digital solutions.
- Contribute to the ongoing improvement of digital tools and systems, ensuring they scale to meet evolving business, customer, and stakeholder needs.
About the team
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer.
BASIC QUALIFICATIONS
- 5+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
- Experience with data modeling, warehousing and building ETL pipelines
- 3+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
- Experience with EHS management software development or analytics.
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience formulating and solving predictive modeling, machine learning, forecasting or statistical modeling problems
- Experience in communicating technical concepts to a non-technical audience
- Knowledge of software development lifecycle, including design, development, test, build, deployment processes and timelines
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
COMPENSATION
- The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Austin - 132,100.00 - 178,800.00 USD annually
USA, VA, Herndon - 132,100.00 - 178,800.00 USD annually
DESCRIPTION
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
For over 15 years, Amazon Web Services (AWS) has been the world’s most comprehensive and broadly adopted cloud computing platform. What is cloud computing? Cloud computing is the on-demand delivery of IT resources over the Internet.
In 2019, Amazon announced The Climate Pledge, which includes our commitment to power our operations with 100% renewable energy by 2025, on the path to achieving net zero carbon across our businesses by 2040.
To learn more about AWS, visit https://aws.amazon.com and https://sustainability.aboutamazon.com/environment/the-cloud.
The ideal candidate is a mid-level data engineer who takes ownership of tools and technologies, demonstrates strong data analytics capabilities, and works independently while knowing when to seek guidance. They balance short and long-term priorities, mitigate risks, and deliver practical, scalable solutions. They communicate clearly with stakeholders at all levels, contribute to team growth through mentoring, and collaborate effectively across functions. A genuine commitment to diversity, equity, and inclusion guides how they build products and work with others.
Key job responsibilities
- Build and maintain integrated environmental data solutions connected to internal digital tools, supporting due diligence, permitting, design, and construction tracking workflows.
- Develop monitoring and tracking systems that apply analytics to environmental metrics, including due diligence risk, permitting delivery timelines, and construction risk indicators.
- Implement predictive analytics models to forecast environmental risks and support automated risk assessment processes.
- Design and maintain intelligent data pipelines and real-time monitoring dashboards that convert environmental compliance data into actionable insights.
- Integrate environmental technology solutions with existing systems and data architectures, partnering with stakeholders to translate business requirements into practical digital solutions.
- Contribute to the ongoing improvement of digital tools and systems, ensuring they scale to meet evolving business, customer, and stakeholder needs.
About the team
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer.
BASIC QUALIFICATIONS
- 5+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
- Experience with data modeling, warehousing and building ETL pipelines
- 3+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
- Experience with EHS management software development or analytics.
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience formulating and solving predictive modeling, machine learning, forecasting or statistical modeling problems
- Experience in communicating technical concepts to a non-technical audience
- Knowledge of software development lifecycle, including design, development, test, build, deployment processes and timelines
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
COMPENSATION
- The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Austin - 132,100.00 - 178,800.00 USD annually
USA, VA, Herndon - 132,100.00 - 178,800.00 USD annually
Data Manager Job Roles in Virginia
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Search Data Manager Jobs in VirginiaData Manager Jobs in Virginia: Frequently Asked Questions
Which companies sponsor visas for data managers in Virginia?
Federal contractors and technology firms lead visa sponsorship for data managers in Virginia. Booz Allen Hamilton, Leidos, SAIC, General Dynamics IT, and Capital One have all filed Labor Condition Applications for data management roles in the state. Amazon Web Services, headquartered in Arlington, is also a consistent sponsor. Sponsorship is not guaranteed and varies by role, team, and business need at the time of hiring.
Which visa types are most common for data manager roles in Virginia?
The H-1B visa is the most common visa category for data managers in Virginia, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. Some employers also use the L-1B for intracompany transfers with specialized knowledge. Candidates from Australia may have access to the E-3 visa, and Canadian or Mexican nationals may qualify under the TN visa category.
Which cities in Virginia have the most data manager sponsorship jobs?
Northern Virginia, particularly the cities of Arlington, McLean, Reston, and Herndon, accounts for the highest concentration of data manager sponsorship jobs in the state. This corridor is home to federal contractors, cybersecurity firms, and cloud infrastructure companies. Richmond has a smaller but active market driven by financial services firms like Capital One and Genworth, while Charlottesville sees some activity tied to the University of Virginia's research operations.
How to find data manager visa sponsorship jobs in Virginia?
Migrate Mate is built specifically for international candidates and filters data manager roles in Virginia to those where employers have a demonstrated history of visa sponsorship. Rather than sorting through thousands of general postings, you can browse roles in Northern Virginia, Richmond, and other markets knowing sponsorship is part of the hiring picture. Creating a profile on Migrate Mate lets you track relevant openings as they're posted.
Are there state-specific considerations for data manager visa sponsorship in Virginia?
Virginia's large federal contracting sector introduces a practical consideration: many data manager roles require security clearances, which are generally not accessible to visa holders without U.S. citizenship or permanent residence. This narrows the pool of sponsoring employers somewhat, so targeting commercial technology firms, financial services companies, and cloud providers in Northern Virginia tends to yield more realistic sponsorship opportunities for international candidates.
What is the prevailing wage for sponsored data manager 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.