Six Figure Work

Staff Engineer, Data Center

LinkedIn

Company websitelinkedin.com (LinkedIn, opens in new tab)

Base salary $136K  to $221K

Employer-published annual base salary, USD. Advertised base range in Manassas, VA

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  • LocationManassas, VA
  • WorkplaceHybrid
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

Company Description

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.

Job Description

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.

Qualifications

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

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. For more information, visit https://careers.linkedin.com/benefits.

Equal Opportunity Statement 

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 [email protected] 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.

San Francisco Fair Chance Ordinance ​

Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement ​

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice for Job Candidates ​

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: https://legal.linkedin.com/candidate-portal.

Equal Opportunity Statement 

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 and describe the specific Accommodation requested for a disability-related limitation.
Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36

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.

San Francisco Fair Chance Ordinance ​

Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement ​

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

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: https://www.linkedin.com/legal/candidate-portal.

Source: LinkedIn on SmartRecruiters · View original posting (opens in new tab)

This range next to 6 other live LinkedIn roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live LinkedIn roles with the nearest advertised base floor
RolePublished base
Staff Engineer, Data Center (this listing)$136K - $221K
Senior Trust Technical Investigator - Anti-Automation$136K - $221K
Sr. Software Engineer, Development Infrastructure$139K - $229K
Staff Engineer, Data Center$133K - $216K
Global Lead, Thought Leadership, B2B Institute$131K - $212K
Senior Manager - Marketing Measurement Strategy and Testing$141K - $231K
AI Architect - SaaS GTM Tech & Analytics | IC4$141K - $231K

Same $100K to $400K scale as every card. All LinkedIn roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
  3. Stopped meeting the published-salary criteria
  4. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-20
Where this pay comes from

Location as the employer wrote it: Manassas, VA, United States

The pay range for this role is $136,000 to $221,000. Actual compensation packages are based on several factors

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.