Staff Engineer, Data Center
- Pay
- $136,000 – $221,000 per year
- Location
- Manassas, VA · Hybrid
- Job type
- Full-time
- Level
- Lead / Staff
- Experience
- 5+ years
- Education
- Bachelor's degree
- Listed
- 19 days ago
Skills & highlights for this role
- electrical power systems
- medium-voltage distribution
- load flow analysis
- short-circuit analysis
- protective coordination
- arc-flash analysis
Also useful
- NFPA 70E
- NEC
- PE license
- CRE
- CMRP
About the role
This role will be based in Manassas, VA.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
Responsibilities
- Own electrical design review and validation of data center power systems, from utility and medium-voltage distribution through backup power and rack-level distribution.
- Review mechanical, cooling, and liquid cooling system designs and assess their interdependencies with electrical power systems under normal and failure conditions.
- Perform and review electrical studies, including load flow, short-circuit, protective coordination, and arc-flash, and develop resiliency and redundancy models to validate designs against LinkedIn’s Tier-level and N+X criteria.
- Drive updates to the electrical sections of LinkedIn’s global Basis of Design (BOD), including owner’s requirements, design drawings, technical specifications, bills of materials, and performance benchmarks, to ensure consistency across regions and providers.
- Evaluate and qualify new electrical and mechanical equipment and components, including vendor qualification and product testing, to support standardization, performance, and long-term reliability across the fleet.
- Lead technical evaluation of new sites, expansions, and data hall fit-outs, including review of electrical one-line diagrams, mechanical system designs, and infrastructure layouts.
- Lead technical due diligence and support infrastructure negotiations for colocation leases, amendments, and expansions, translating capacity requirements into enforceable technical provisions covering capacity delivery, system performance, demarcation of responsibilities, commissioning, maintenance, reporting, and SLAs.
- Partner with data center providers to define, measure, and enforce lease SLAs, assess power and cooling capacity, and ensure compliance with LinkedIn’s redundancy, resiliency, and availability standards.
- Oversee the design and construction of new data centers, expansions, and retrofits, ensuring electrical and mechanical systems meet design intent, testing protocols, commissioning standards, and project timelines.
- Define commissioning and Integrated Systems Testing (IST) requirements for new data center spaces, retrofits, and upgrades, and validate results against design intent and operational requirements.
- Contribute to LinkedIn’s liquid-cooling deployment strategy by evaluating direct-to-chip technologies, power and cooling interdependencies, and operational impacts, and support the metrics and tools needed for monitoring and maintenance.
Minimum Qualifications
- Bachelor’s degree in Electrical, Mechanical, Industrial, Process, or a related engineering discipline, or equivalent practical experience.
- 5+ years of experience designing, constructing, commissioning, operating, or maintaining mission-critical infrastructure.
- 5+ years of direct experience with data center design, construction, field engineering, commissioning, or major infrastructure retrofit programs.
- Experience in data center electrical power systems, from medium-voltage distribution through backup power and rack-level distribution.
- Familiarity with data center mechanical and cooling systems, including liquid cooling infrastructure.
- Experience evaluating electrical and mechanical infrastructure interdependencies, system redundancy, and failure scenarios in mission-critical environments.
- Experience supporting maintenance, reliability, and operational-readiness programs for critical infrastructure.
- Experience working with colocation providers, engineering consultants, contractors, commissioning agents, equipment manufacturers, and internal operations teams.
- Ability to develop clear and actionable technical documentation for engineering, operations, and capacity planning teams.
- Ability to manage multiple concurrent mission-critical initiatives and communicate technical risks, tradeoffs, and recommendations to engineering and leadership audiences.
Preferred Qualifications
- Master’s degree in Electrical Engineering or a related field.
- 10+ years of direct data center design, construction, and commissioning experience with a hyperscaler, colocation provider, or contractor.
- Professional certifications such as Professional Engineer (PE), Certified Reliability Engineer (CRE), Certified Maintenance & Reliability Professional (CMRP), Chartered Engineer (CEng), or Project Management Professional (PMP).
- Experience performing or reviewing electrical studies, including load flow, short-circuit, protective coordination, and arc-flash.
- Working knowledge of electrical safety standards and codes, including NFPA 70E and NEC, etc.
- Experience leading technical due diligence, site evaluations, colocation infrastructure negotiations, or development and enforcement of technical lease requirements and SLAs.
- Experience with high-density data center infrastructure and liquid-cooling technologies, including controls, monitoring, and operational-readiness requirements.
- Experience with mechanical analyses such as CFD modeling, hydraulic analysis, and cooling capacity and redundancy assessments.
Suggested Skills
- Electrical power distribution design, protection, and system analysis
- Electrical safety (NFPA 70E/NEC) and arc-flash program management
- Data center site evaluation, design, and construction administration
- Colocation technical due diligence, lease requirements, and SLA management
- Basis of Design (BOD) development and standardization
- Mechanical, thermal, and liquid cooling systems engineering, including CFD analysis
About the Company
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed.
Join us to transform the way the world works.
Additional Information: LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $136,000 to $221,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans.
Equal opportunity and legal notices
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
- Documents in alternate formats or read aloud to you
- Having interviews in an accessible location
- Being accompanied by a service dog
- Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.
However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
Pay Transparency Policy Statement
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants:
If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation.
- Being accompanied by a service dog
Pay Transparency Policy Statement
Global Data Privacy Notice and Compliance Posters for Job Candidates
Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters:
From LinkedIn's careers page, first listed on Rolev.ai on October 21, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Staff Engineer, Data Center role at LinkedIn?
The Staff Engineer, Data Center posting at LinkedIn states compensation of $136,000 – $221,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on LinkedIn's official career site.
Where is the Staff Engineer, Data Center job at LinkedIn located?
This Staff Engineer, Data Center position at LinkedIn is located in Manassas, VA (Hybrid). Always check LinkedIn's application page for specific state eligibility or relocation policies.
What qualifications are required for Staff Engineer, Data Center at LinkedIn?
For the Staff Engineer, Data Center role, LinkedIn highlights 5+ years of relevant experience; a bachelor's degree; experience with electrical power systems, medium-voltage distribution, load flow analysis, short-circuit analysis, protective coordination, arc-flash analysis. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Staff Engineer, Data Center position at LinkedIn?
This listing links directly to LinkedIn's SmartRecruiters application page. You can apply directly on LinkedIn's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the SmartRecruiters application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.