Senior Level Data Center Engineering Jobs
Senior level data center engineering jobs place engineers in charge of critical infrastructure decisions, long-range capacity planning, and the technical teams responsible for keeping global systems online. Most openings are on-site or hybrid, concentrated in Healthcare & Medical Services, Technology & Software, and Retail, with employers like CVS Health, Amazon, and Apple hiring at this level now.
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Electrical Engineer, Data Center Electrical Design Engineering Responsibilities:
- Hold comprehensive technical ownership for the power system engineering of next-generation, high-power compute platforms across the full product lifecycle
- Drive extensive system investigations into power and electrical stability across multiple generations of high-power rack systems in a data center setting
- Lead the production of critical safety and design deliverables, including protection and safety design and analysis for high-voltage Direct Current (HVDC) distribution systems
- Utilize electrical modeling and simulation tools to analyze rack and row level power distribution components such as busways, tap-off boxes, power distribution units, capacitors, and batteries
- Perform complex system-level modeling, including harmonic and impedance analysis across large-scale data center sites, to proactively mitigate design and deployment risks
- Lead advanced electrical troubleshooting efforts, such as root cause analysis for switching transients, ground fault issues, and component failures across live data center infrastructure
- Participate in studies regarding the impact of next-generation AI workload power characteristics on power quality and grid stability
- Provide subject matter expertise and technical guidance to cross-functional teams on HVDC distribution technology, hardware design optimization, and AC input protection systems
- Ability to travel to vendor/design partner locations and data center sites for verification/validation testing of electrical systems technologies and products
Minimum Qualifications:
- BS/MS in Electrical Engineering with focus on Power Systems Design, or a related technical field
- 7+ years of experience in electrical or power system engineering, including design, modeling, or validation testing for critical infrastructure
- Experience within hyperscale data centers, high-power hardware development, or similar critical infrastructure environments
- Expertise in advanced modeling (e.g., electromagnetic, AI and non-AI loads, etc.) techniques for complex data center hardware designs (e.g., high-power racks, high-current conductors, busbar systems, etc.). Relevant experience and expertise in electrical power simulation software - e.g., ETAP, EMTP, PSSE, PSCAD, EasyPower, Powerworld, Matlab Simulink etc
- Track record of troubleshooting and root cause isolation in complex electrical systems
- Experience leading electrical component/equipment deployment, testing, and failure analysis across multiple complex hardware programs
- Experience applying structured troubleshooting and analytical methods to diagnose and resolve electrical system issues
- Experience presenting technical findings and recommendations to cross-functional engineering and leadership audiences
Preferred Qualifications:
- Experience in designing data centers served with behind-the-meter (BTM) or islanded onsite generation with integrated inverter-based technologies such as battery energy storage systems (BESS), super-capacitors, and other technologies
- Demonstrated ability to be a proactive driver and owner of major, long-term power infrastructure architectural roadmaps for the organization
- Working knowledge of FERC/NERC interconnection requirements for large load interconnections
- Experience defining strategic vision and setting the technical strategy for future power infrastructures
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- MS/Ph.D. in Electrical Engineering, Power Systems, or a closely related field
- Expertise in HVDC electrical design, system modeling, and safety/transient studies for high-power IT racks
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
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 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.
$173,000/year to $245,000/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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Who's Hiring
- CVS Health26
- Amazon10
- Apple5
- Meta4
- ENERCON SERVICES3
Top Industries Hiring
- Healthcare & Medical Services26
- Technology & Software18
- Retail10
- E-Commerce & Online Marketplaces10
- Electronics & Hardware7
Senior Level Data Center Engineering Jobs: Frequently Asked Questions
How do I get a senior level data center engineering job?
Employers at this level look for engineers who have owned major infrastructure projects end to end, not just contributed to them. Demonstrated expertise in power systems, cooling architecture, network topology, and compliance standards sets candidates apart. Leadership experience, such as mentoring junior engineers or driving cross-functional deployments, signals readiness for senior scope and independent decision-making authority.
Which companies hire senior level data center engineerings?
Companies hiring senior level data center engineerings right now include CVS Health, Amazon, and Apple, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from hyperscale cloud providers, colocation operators, enterprise technology firms, and large financial institutions building out or modernizing their own critical infrastructure.
Are there remote senior level data center engineering jobs?
Yes, though most roles involve at least some on-site presence given the hands-on nature of the work. About 15% of senior level data center engineering openings are remote or hybrid as of July 2026, with remote positions typically focused on architecture, design, and program oversight rather than direct facilities management.
What makes a data center engineering role senior level?
Senior level roles are defined by ownership and scope rather than task execution. Engineers at this stage set technical direction for facilities or systems, make high-stakes decisions on power, cooling, and redundancy design, lead teams or cross-functional projects, and are accountable for uptime and compliance outcomes. Mentoring junior engineers is commonly expected as part of the role.
Which industries hire the most senior level data center engineerings?
Senior Level data center engineering roles concentrate in Healthcare & Medical Services, Technology & Software, and Retail, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at this level because of their dependence on large-scale, continuously available compute and storage infrastructure supporting cloud services, financial transactions, and enterprise operations.