πŸ“
Council Bluffs, IA

Data Center Facilities Technician, Electrical

2 years experience
Technology & Digital
Data / Analytics
Posted:
January 6, 2026

Google

Global internet search & technology leader
84.2
Palpable Score
Apply >view company >

Minimum qualifications:

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Preferred qualifications:

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About the job

The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facilities Technicians at Google data centers operate, monitor and support physical facilities conditions. Some of these duties will include heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution and control and monitoring systems. You regularly help inspect, maintain and repair various data center systems such as piping and non-critical electrical or mechanical system components). You provide daily assistance to senior technicians as you read blueprints/schematics, conduct tours of systems and assess their working order.

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As an advocate for best practices, you develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly. In emergency situations or abnormal conditions, you manage data center performance issues and outages to minimize the recovery time from failures.

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As a Facilities Technician, you will operate, monitor, and support physical facilities conditions for our data centers.

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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.

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We're the driving force 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.

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The US base salary range for this full-time position is $73,500-$103,000 + 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.

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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.

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Responsibilities

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About the company

Google

Company overview
Google is a technology company that builds consumer and enterprise products used worldwide, including Search, YouTube, Android, Chrome, Google Maps, and Gmail. Google also operates Google Cloud, offering infrastructure and platform services for businesses and public sector organisations. The company earns a large share of revenue from advertising products tied to Search and YouTube, alongside growing cloud and subscription businesses. Google is a subsidiary of Alphabet.

Locations and presence

Google has major office hubs across North America, Europe, and Asia-Pacific, alongside a wide global office footprint. Google roles are commonly tied to specific office locations, with public reporting in 2025 describing tighter rules for remote arrangements and a stronger push toward hybrid attendance for employees who live near an office.

Palpable Score

84.2
/ 100
Google offers multiple well-known entry paths for students and graduates, and Google publishes unusually detailed hiring and interviewer-calibration practices that are designed to reduce bias. The main constraint on the score is early-career stability: public reporting about restructures, buyouts, and stricter location rules makes outcomes less predictable than the brand reputation alone would suggest.
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