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Internship Meta Data Center Jobs (NOW HIRING)

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How much do internship meta data center jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for internship meta data center in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is an internship at Meta Data Center?

An Internship at Meta Data Center is a temporary position designed for students or recent graduates to gain practical experience working in Meta's high-tech data center environments. Interns typically work on projects related to data center operations, network infrastructure, hardware maintenance, or software optimization. This hands-on opportunity allows interns to collaborate with experienced engineers, learn about large-scale IT systems, and develop skills relevant to the tech industry. Internships usually last for a few months and can be a valuable stepping stone toward a full-time career at Meta or in similar fields.

What types of projects do interns typically work on during a Meta Data Center internship?

As a Meta Data Center intern, you'll often be assigned to projects that support the operational efficiency and reliability of Meta's large-scale data centers. These projects might include optimizing infrastructure processes, analyzing system performance, assisting with hardware deployment, or developing automation tools. Interns collaborate closely with experienced engineers, project managers, and IT specialists, gaining hands-on experience with cutting-edge technology in a fast-paced, team-oriented environment. The work is impactful and provides valuable exposure to data center operations and tech industry best practices.

What are the key skills and qualifications needed to thrive as an intern at a Meta Data Center?

To thrive as an intern at a Meta Data Center, you generally need a background in computer science, electrical engineering, or a related field, with strong analytical and problem-solving abilities. Familiarity with data center infrastructure, networking concepts, and tools such as Linux, scripting languages, and monitoring systems is highly desirable. Attention to detail, effective communication, and a willingness to learn are key soft skills that help interns contribute and adapt quickly. These skills ensure interns can support complex technical operations, collaborate with teams, and grow in a fast-paced, innovative environment.
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Infographic showing various Internship Meta Data Center job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Center Location Strategy Analyst

Menlo Park, CA • On-site

Meta
Internet and IT • 10K+ employees

$154K/yr

Full-time

Posted 13 days ago


Key responsibilities

  • Develop and maintain location strategy frameworks and analyses to evaluate potential data center sites.

  • Translate capacity demand forecasts into geographic supply requirements and identify regional gaps.

  • Build quantitative models, scenario analyses, and optionality strategies to compare location alternatives and support capital decisions.


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies


Job description

Meta's Global Strategy & Development team is seeking a Data Center Location Strategy Analyst to support the long-term capacity planning and site selection strategy that underpins Meta's global data center portfolio. In this role, you will develop scenario analyses and optionality models to evaluate optimal locations for new data center capacities, directly informing multi-billion dollar capital investment decisions. You will partner with teams across site development, energy, network, finance, and construction to develop location frameworks that balance capacity demand forecasts with supply-side constraints, ensuring Meta's infrastructure footprint scales reliably to support capacity enablement for billions of users worldwide.
Data Center Location Strategy Analyst Responsibilities:
  • Develop and maintain location strategy frameworks and analyses that evaluate potential data center sites across dimensions including power availability, land cost, network connectivity, permitting risk, climate exposure, and labor market depth
  • Translate long-range capacity demand forecasts into geographic supply requirements, identifying regional gaps and prioritizing site development pipelines to close projected shortfalls
  • Build quantitative models, scenario analyses, and optionality strategies to compare location alternatives across cost, risk, schedule, and strategic fit dimensions, supporting executive-level capital allocation decisions
  • Synthesize market intelligence on power grid infrastructure, utility interconnection timelines, renewable energy availability, and regulatory environments across target geographies
  • Collaborate with real estate, energy, network, and cross-functional teams to assess site-specific feasibility constraints and incorporate findings into portfolio-level location recommendations
  • Develop and maintain dashboards and reporting tools that track the health of the site development pipeline, including capacity milestones, risk flags, and decision gate status
  • Conduct portfolio health reviews and partner with finance and capacity planning teams to align location strategy outputs with financial models, total cost of ownership analyses, and long-range infrastructure investment plans
  • Identify emerging markets and geographies that meet Meta's data center siting criteria, conducting proactive market assessments to expand the portfolio of viable future locations
  • Communicate location strategy recommendations and supporting analyses to cross-functional stakeholders and leadership through structured written deliverables and presentations

Minimum Qualifications:
  • Bachelor's degree in a directly related field, or equivalent practical experience
  • Bachelor's degree or equivalent practical experience
  • 6+ years of experience in data center site selection, infrastructure capacity planning, real estate strategy, energy market analysis, or a closely related field
  • Experience building quantitative models to evaluate and compare infrastructure investment alternatives, including scenario analysis and sensitivity modeling
  • Experience synthesizing complex, multi-variable datasets spanning geographic, energy, regulatory, and financial dimensions to produce actionable strategic recommendations
  • Experience collaborating cross-functionally with real estate, energy, finance, or network teams to drive alignment on infrastructure planning decisions
  • Ability to source and utilize data, including data visualization, to communicate analytical findings and strategic recommendations to technical and non-technical stakeholders

Preferred Qualifications:
  • Data center industry experience with a focus on capacity delivery and scaling
  • Experience integrating AI or automation tools into planning or analytical workflows to improve modeling efficiency, scenario coverage, or reporting accuracy
  • Experience applying geospatial analysis tools or GIS platforms to infrastructure siting and market assessment workflows
  • Familiarity with hyperscale data center design typologies, construction timelines, and the key site characteristics that drive development feasibility and cost
  • Experience with power systems, utility interconnection processes, or renewable energy procurement as applied to large-scale data center or industrial facility development
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Location strategy and modeling experience across multiple geographies
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

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.
$154,000/year to $200,000/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.

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