Technology Visa Sponsorship Jobs in Washington DC
Washington DC's technology sector offers strong visa sponsorship opportunities, particularly in government contracting, cybersecurity, and cloud services. Major employers include Amazon Web Services (expanding their HQ2 presence), Microsoft's government division, Palantir, and numerous federal contractors like Booz Allen Hamilton. The region's concentration of federal agencies drives demand for technologists with security clearances and expertise in government-compliant cloud infrastructure.
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Meta's infrastructure underpins some of the world's most widely used platforms, and the data center lease portfolio that supports this infrastructure must be managed with precision, strategic foresight, and operational rigor. Meta is seeking an experienced Lease Portfolio Manager to join the Global Leasing organization, responsible for overseeing a large-scale, geographically distributed portfolio of data center lease agreements. In this role, you will drive portfolio-level strategy, manage complex contractual obligations, and ensure that leased capacity aligns with Meta's long-range infrastructure demand forecasts. You will serve as a critical link between real estate, finance, legal, and capacity planning teams to optimize lease structures, mitigate risk, and support Meta's global data center growth.
Data Center Lease Portfolio Manager Responsibilities:
- Own and manage a global portfolio of data center lease agreements, tracking key contractual milestones, renewal options, termination rights, and financial obligations
- Develop and maintain portfolio-level capacity models that align leased data center inventory with long-range infrastructure demand forecasts
- Lead lease restructuring, renewal, and exit negotiations in coordination with legal, finance, and site selection teams
- Identify and escalate portfolio risks related to capacity shortfalls, lease expirations, or contractual non-compliance, and drive resolution strategies
- Build and maintain financial models to evaluate lease economics, including total cost of ownership, capital exposure, and scenario analysis across lease structures
- Partner with capacity planning and infrastructure teams to translate compute and power demand signals into actionable lease portfolio decisions
- Develop and enforce portfolio governance standards, including lease abstraction processes, data integrity protocols, and reporting cadences
- Collaborate with legal and compliance teams to ensure lease agreements meet regulatory requirements across multiple jurisdictions
- Produce executive-level reporting and portfolio dashboards that communicate capacity availability, financial commitments, and strategic risks
- Evaluate market conditions, colocation provider landscapes, and emerging lease structures to inform long-term portfolio strategy
MINIMUM QUALIFICATIONS:
- Bachelor's degree in a directly related field, or equivalent practical experience
- 10+ years of experience in data center lease portfolio management, real estate asset management, or data center capacity planning
- Experience managing large-scale, multi-site data center lease portfolios across diverse geographies and lease structures (e.g., Modified Gross, NNN, Yield-on-Cost)
- Experience developing financial models for lease transactions, including NPV analysis, capital exposure modeling, and sensitivity analysis
- Experience collaborating across legal, finance, real estate, and infrastructure or capacity planning functions to drive portfolio decisions
- Experience synthesizing complex contractual, financial, and operational data into executive-level communications and strategic recommendations
PREFERRED QUALIFICATIONS:
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Experience adhering to and implementing responsible, ethical AI practices in data analysis and decision-support contexts
- Demonstrated ability to integrate AI tools to optimize portfolio reporting workflows and drive measurable efficiency or accuracy improvements
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience integrating capacity demand forecasting methodologies with real estate portfolio planning in a hyperscale or large enterprise data center environment
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Familiarity with power procurement, critical infrastructure constraints, and their impact on lease site selection and portfolio strategy
ABOUT META:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- $202,000/year to $273,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
INTRODUCTION
Meta's infrastructure underpins some of the world's most widely used platforms, and the data center lease portfolio that supports this infrastructure must be managed with precision, strategic foresight, and operational rigor. Meta is seeking an experienced Lease Portfolio Manager to join the Global Leasing organization, responsible for overseeing a large-scale, geographically distributed portfolio of data center lease agreements. In this role, you will drive portfolio-level strategy, manage complex contractual obligations, and ensure that leased capacity aligns with Meta's long-range infrastructure demand forecasts. You will serve as a critical link between real estate, finance, legal, and capacity planning teams to optimize lease structures, mitigate risk, and support Meta's global data center growth.
Data Center Lease Portfolio Manager Responsibilities:
- Own and manage a global portfolio of data center lease agreements, tracking key contractual milestones, renewal options, termination rights, and financial obligations
- Develop and maintain portfolio-level capacity models that align leased data center inventory with long-range infrastructure demand forecasts
- Lead lease restructuring, renewal, and exit negotiations in coordination with legal, finance, and site selection teams
- Identify and escalate portfolio risks related to capacity shortfalls, lease expirations, or contractual non-compliance, and drive resolution strategies
- Build and maintain financial models to evaluate lease economics, including total cost of ownership, capital exposure, and scenario analysis across lease structures
- Partner with capacity planning and infrastructure teams to translate compute and power demand signals into actionable lease portfolio decisions
- Develop and enforce portfolio governance standards, including lease abstraction processes, data integrity protocols, and reporting cadences
- Collaborate with legal and compliance teams to ensure lease agreements meet regulatory requirements across multiple jurisdictions
- Produce executive-level reporting and portfolio dashboards that communicate capacity availability, financial commitments, and strategic risks
- Evaluate market conditions, colocation provider landscapes, and emerging lease structures to inform long-term portfolio strategy
MINIMUM QUALIFICATIONS:
- Bachelor's degree in a directly related field, or equivalent practical experience
- 10+ years of experience in data center lease portfolio management, real estate asset management, or data center capacity planning
- Experience managing large-scale, multi-site data center lease portfolios across diverse geographies and lease structures (e.g., Modified Gross, NNN, Yield-on-Cost)
- Experience developing financial models for lease transactions, including NPV analysis, capital exposure modeling, and sensitivity analysis
- Experience collaborating across legal, finance, real estate, and infrastructure or capacity planning functions to drive portfolio decisions
- Experience synthesizing complex contractual, financial, and operational data into executive-level communications and strategic recommendations
PREFERRED QUALIFICATIONS:
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Experience adhering to and implementing responsible, ethical AI practices in data analysis and decision-support contexts
- Demonstrated ability to integrate AI tools to optimize portfolio reporting workflows and drive measurable efficiency or accuracy improvements
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience integrating capacity demand forecasting methodologies with real estate portfolio planning in a hyperscale or large enterprise data center environment
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Familiarity with power procurement, critical infrastructure constraints, and their impact on lease site selection and portfolio strategy
ABOUT META:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- $202,000/year to $273,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Technology Job Roles in Washington DC
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Search Technology Jobs in Washington DCTechnology Jobs in Washington DC: Frequently Asked Questions
Which technology companies sponsor visas in Washington DC?
Major visa sponsors include Amazon Web Services (expanding their Arlington headquarters), Microsoft's federal division, Palantir Technologies, and government contractors like Booz Allen Hamilton, Raytheon, and Lockheed Martin. Many of these companies specifically seek international talent for cybersecurity, cloud architecture, and data analytics roles supporting federal contracts and private sector digital transformation initiatives.
How to find technology visa sponsorship jobs in Washington DC?
Migrate Mate specializes in connecting international technologists with visa sponsorship opportunities across the DC metro area. The platform filters for companies actively sponsoring H-1B visa, O-1 visa, and other work visas specifically in technology roles. Focus on government contractors, federal consulting firms, and tech companies with significant DC operations, as they frequently sponsor visas for specialized technical skills.
Which visa types are most common for technology roles in Washington DC?
H-1B visas dominate for software engineers, data scientists, and cybersecurity specialists. O-1 visas are increasingly common for senior technologists with specialized expertise in government-grade security or cloud architecture. TN visas work well for Canadian and Mexican citizens in qualifying technology positions, while L-1 visas serve international transfers to DC-area offices of global technology companies.
Which areas in Washington DC have the most technology sponsorship jobs?
Arlington and Alexandria lead in technology visa sponsorship, driven by Amazon's HQ2 expansion and numerous government contractors. Downtown DC hosts many federal consulting firms and fintech companies. Tysons Corner in Virginia concentrates major technology contractors, while Bethesda and Rockville in Maryland house biotechnology companies and federal research organizations that also sponsor technology professionals.
Do DC technology jobs require security clearances for visa holders?
Many technology positions with government contractors require security clearances, but non-citizens face restrictions obtaining higher-level clearances. However, numerous private sector technology roles and some contractor positions work with unclassified systems. Companies like Amazon Web Services, Microsoft, and private consulting firms offer clearance-free technology positions that readily sponsor international candidates for specialized technical skills.
What is the prevailing wage for sponsored technology jobs in Washington DC?
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.