# Data Center Technician - United States - Columbus - On-site at RM Staffing B.V. > Onsite · United States · Unspecified · Other · open. Source: https://alderhq.app/jobs/recruitee%3Arebootmonkey%3A2471772 (read 2026-11-08). ## Facts (observed) - Company: [RM Staffing B.V.](https://alderhq.app/companies/rm-staffing-b-v) - Location text: Columbus, Ohio, United States - Where it can be done from (inferred): Onsite · United States (evidence: "Location: Columbus, Ohio, United States") - Posted: 2026-02-11 (270 days ago) - First seen by alder: 2026-11-08 · last verified: 2026-11-08 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.rebootmonkey.com/o/data-center-technician-united-states-columbus-on-site-1 ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (United States, n 21890): p25 $55k, median $90k, p75 $154k ## Description (the employer's text) ### About the Role Join our team as a Data Center Technician in Columbus, United States. This is a full-time, on-site position where you'll support critical infrastructure at world-class data center facilities. ### Compensation ### Hourly contract rate – based on experience and assignment requirements Paid for actual hours worked on assigned projects or tickets No guaranteed 8-hour workday, minimum weekly hours, or fixed schedule Hourly rate, payment terms, and assignment details will be confirmed during recruitment and documented in the applicable contract or Statement of Work (SOW) Any applicable travel allowance or additional compensation will be confirmed separately based on the assignment ### Work Setup ### Independent contractor / freelance engagement On-demand, dispatch-based work rather than a traditional permanent position Assignments may range from a few hours to a full day or longer Work may include regular business hours, evenings, weekends, and short-notice assignments depending on client requirements Technicians are expected to work independently onsite and coordinate with project managers, remote engineering teams, and data center personnel Assignments are generally within the local Toronto area or nearby locations Availability and workload depend on client demand; there are no guaranteed weekly hours Each assignment may have specific requirements, rates, or terms outlined in the applicable SOW ### Key Responsibilities Install, configure, and maintain server and network equipment Perform structured cabling (copper and fiber optic) Execute hardware deployments and decommissions Monitor environmental systems (power, cooling, security) Respond to incidents and perform troubleshooting Maintain accurate documentation and asset tracking Collaborate with engineering and operations teams Participate in capacity planning and upgrades ### Requirements 2+ years of hands-on data center, IT infrastructure, server hardware, or related technical experience Hands-on experience with rack and stack operations, server installations, decommissions, and hardware deployments Strong structured cabling experience, including Cat5e/Cat6/Cat6a and fiber optic cabling (single-mode/multimode) Experience with cable routing, labeling, patching, and physical connectivity troubleshooting Experience troubleshooting and replacing server and network hardware, such as drives, RAM, power supplies, NICs, switches, and related components Ability to follow technical instructions, work orders, SOPs, and safety procedures Strong troubleshooting, problem-solving, documentation, and communication skills Ability to work independently onsite and coordinate with remote engineering, NOC, and project teams Ability to safely lift and move equipment weighing 50+ lbs and work in a data center environment Reliable transportation and ability to travel to assigned data center locations in or near Toronto Comfortable working flexible hours, including evenings, weekends, and short-notice assignments when required --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Arebootmonkey%3A2471772 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.