Data Center Engineering Jobs in New York
Data Center Engineering jobs in New York are in strong and sustained demand, concentrated in financial services, cloud infrastructure, media, and healthcare IT sectors, with openings for entry-level technicians through senior infrastructure engineers and directors. The highest concentrations of hiring are in New York City, White Plains, and the Hudson Valley corridor, where established operators like Equinix, IBM, and Verizon maintain large facilities and ongoing engineering teams. The most sought-after specialties include critical power and cooling systems, network infrastructure, and data center design and construction. Find a role that fits below and apply directly.
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Showing 5 of 12+ Data Center Engineering jobs
About the job
Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department - cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run the environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements - even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians.
With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical).
Our passion for technology drives everything we do. As a Mechanical Engineer on the Data Center Technology Systems (DCTS), a multidisciplinary group of engineers and architects dedicated to designing next-generation data centers, you will play a key role in developing, analyzing, and optimizing the mechanical cooling infrastructure. You will use various analytical tools to reveal important data points in the design process for efficient mechanical systems. You will be a strong communicator, able to articulate complex ideas concisely across all digital mediums and provide recommendations to cross-functional engineers and architects to enhance our data centers' mechanical systems and accelerate construction.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Responsibilities
- Serve as a technical lead for our mechanical infrastructure, collaborating with planning, operations, execution, and construction teams to develop new data center mechanical infrastructure systems.
- Investigate and lead next-generation mechanical systems to align with company long-term strategies, and lead the insertion of new technologies by collaborating with core engineering and operations teams during development.
- Create system-level concepts and schematic designs, carrying them through to detailed construction designs and operations.
- Provide and prepare documents including: statement of work, engineering analysis and reports, Failure Modes and Effects Analysis (FMEAC), design documents, product specifications, drawings, budget, cost estimates, schedule, commissioning test plans, and perform engineering analysis using software tools.
- Collaborate with partner teams to optimize the existing fleet and future products to meet the market demands of Google’s ML fleet.
Minimum qualifications:
- Bachelor's degree in Mechanical or Industrial Engineering, related discipline, or equivalent practical experience.
- 3 years of experience in mission critical facility design and construction environments.
- Experience in mechanical infrastructure.
Preferred qualifications:
- Master's degree in Mechanical Engineering or a Professional Engineering (PE) license.
- Experience in thermal analysis and data center cooling systems.
- Experience in applying data center technology.
- Proficiency with SQL, Python, C++.
Compensation
- The US base salary range for this full-time position is $122,000-$174,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Benefits
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year.
Location
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Addison, TX, USA; Kirkland, WA, USA; New York, NY, USA; Reston, VA, USA; Seattle, WA, USA; San Francisco, CA, USA.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
About the job
Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department - cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run the environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements - even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians.
With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical).
Our passion for technology drives everything we do. As a Mechanical Engineer on the Data Center Technology Systems (DCTS), a multidisciplinary group of engineers and architects dedicated to designing next-generation data centers, you will play a key role in developing, analyzing, and optimizing the mechanical cooling infrastructure. You will use various analytical tools to reveal important data points in the design process for efficient mechanical systems. You will be a strong communicator, able to articulate complex ideas concisely across all digital mediums and provide recommendations to cross-functional engineers and architects to enhance our data centers' mechanical systems and accelerate construction.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Responsibilities
- Serve as a technical lead for our mechanical infrastructure, collaborating with planning, operations, execution, and construction teams to develop new data center mechanical infrastructure systems.
- Investigate and lead next-generation mechanical systems to align with company long-term strategies, and lead the insertion of new technologies by collaborating with core engineering and operations teams during development.
- Create system-level concepts and schematic designs, carrying them through to detailed construction designs and operations.
- Provide and prepare documents including: statement of work, engineering analysis and reports, Failure Modes and Effects Analysis (FMEAC), design documents, product specifications, drawings, budget, cost estimates, schedule, commissioning test plans, and perform engineering analysis using software tools.
- Collaborate with partner teams to optimize the existing fleet and future products to meet the market demands of Google’s ML fleet.
Minimum qualifications:
- Bachelor's degree in Mechanical or Industrial Engineering, related discipline, or equivalent practical experience.
- 3 years of experience in mission critical facility design and construction environments.
- Experience in mechanical infrastructure.
Preferred qualifications:
- Master's degree in Mechanical Engineering or a Professional Engineering (PE) license.
- Experience in thermal analysis and data center cooling systems.
- Experience in applying data center technology.
- Proficiency with SQL, Python, C++.
Compensation
- The US base salary range for this full-time position is $122,000-$174,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Benefits
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year.
Location
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Addison, TX, USA; Kirkland, WA, USA; New York, NY, USA; Reston, VA, USA; Seattle, WA, USA; San Francisco, CA, USA.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
See All 12 Data Center Engineering Jobs in New York
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Find Data Center Engineering JobsData Center Engineering Jobs by City in New York
Where New York roles are concentrated, by current openings.
Data Center Engineering Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- CBRE2
- Google2
- Memorial Sloan Kettering Cancer Center2
- Baseten1
- New York Blood Center1
Top Industries Hiring
- Healthcare & Medical Services3
- Technology & Software2
- Consulting & Professional Services1
- Investment & Asset Management1
- Science & Research1
What New York Employers Look For
The qualifications that appear most often in data center engineering jobs across New York.
- Active New York State Professional Engineer (PE) license or NCEES-recognized credential for senior design roles
- Bachelor's degree in electrical engineering, mechanical engineering, or computer science required
- Experience with critical power systems including UPS, generators, and power distribution units
- Familiarity with DCIM platforms and BMS tools such as Schneider EcoStruxure or Vertiv
- Knowledge of ASHRAE thermal guidelines and TIA-942 data center infrastructure standards
- Relevant certification such as CDCP, CDCE, or Uptime Institute Accredited Tier Designer preferred
Data Center Engineering Jobs in New York: Frequently Asked Questions
How do you become a data center engineering in New York?
Most data center engineering roles in New York require a bachelor's degree in electrical, mechanical, or systems engineering as a foundation. Engineers taking on design or stamping responsibilities for critical infrastructure must hold a New York State Professional Engineer license issued through the New York State Education Department. Entry roles typically focus on operations and do not require PE licensure, but pursuing credentials like the CDCP through the EPI or Uptime Institute certifications strengthens a candidate's profile significantly in this market.
Which companies hire data center engineerings in New York?
Employers hiring data center engineerings in New York right now include CBRE, Google, and Memorial Sloan Kettering Cancer Center, based on current listings on Migrate Mate as of June 2026. New York's dense concentration of financial institutions, colocation operators, and cloud infrastructure providers means demand for qualified engineers remains consistent across both Tier 1 Manhattan facilities and suburban campus environments in the Hudson Valley and Long Island.
Which New York cities have the most data center engineering jobs?
The cities with the most data center engineering openings in New York are New York, East Setauket, and Rye. New York City anchors demand through its concentration of financial services firms, media companies, and colocation facilities, while suburban metros like White Plains and Poughkeepsie draw engineers to large enterprise campus operations and legacy IBM and Equinix footprints that have sustained engineering teams for decades.
Are there remote data center engineering jobs in New York?
Yes, but they're rare. Data center engineering is inherently hands-on, with most roles requiring on-site work to manage physical infrastructure, respond to facility incidents, and oversee construction or commissioning. About 33% of data center engineering openings tied to New York are remote or hybrid as of June 2026, and those positions tend to concentrate in design, project management, and DCIM monitoring roles that do not require a physical facility presence daily.
How can I get hired as a data center engineering in New York with little or no experience?
The most realistic entry path is through a data center technician or critical environment associate role, which requires no PE license and focuses on hands-on operations training. Large New York colocation operators like Equinix and cloud providers with metro-area facilities regularly hire entry-level technicians who rotate through power, cooling, and network systems under senior oversight. A CompTIA certification or an associate degree in electrical technology from a CUNY or SUNY campus also helps candidates stand out when competing for those foundational positions.
Where can I find and apply to data center engineering jobs in New York?
You can find and apply to data center engineering jobs in New York on Migrate Mate, which lists current New York openings across colocation operators, enterprise IT teams, and engineering firms. Find a role that fits and apply directly.
See All 12 Data Center Engineering Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find Data Center Engineering Jobs