Contract On-Site Data Center Technician (Flexible)
Reboot Monkey
Marlboro Township (NJ)
On-site
USD 34,440 - 48,216
Part time
14 days+
Application generator
Stand out for this role — generate a tailored resume and cover letter in about a minute.
Get past ATS filters
Job summary
A technology service provider in Marlboro is seeking an experienced Data Center Technician for on-site freelance work. You will be responsible for hardware installations, cabling, and troubleshooting in a premier data center environment. Candidates should have 2+ years of IT infrastructure experience, strong cabling skills, and the ability to lift heavy equipment. Competitive pay of $25-35 per hour will be offered based on experience and project complexity. This is a prime opportunity for those looking for flexible scheduling in a dynamic setting.
Qualifications
2+ years data center or IT infrastructure experience.
Ability to lift 50+ lbs and work in raised floor environments.
Own transportation and ability to work on‑site.
Responsibilities
Perform hardware installations, decommissions, and migrations.
Execute structured cabling (copper and fiber optic).
Conduct server racking, stacking, and labeling.
Troubleshoot connectivity and hardware issues.
Document all work with photos and detailed notes.
Skills
Hardware installations
Structured cabling
Troubleshooting connectivity
Professional communication skills
Education
Data center certifications (CDCP, CDCS, or similar)
Network certifications (CCNA, CompTIA Network+)
Tools
Screwdrivers
Cable testers
Label makers
Fiber inspection equipment
Job description
A technology service provider in Marlboro is seeking an experienced Data Center Technician for on-site freelance work. You will be responsible for hardware installations, cabling, and troubleshooting in a premier data center environment. Candidates should have 2+ years of IT infrastructure experience, strong cabling skills, and the ability to lift heavy equipment. Competitive pay of $25-35 per hour will be offered based on experience and project complexity. This is a prime opportunity for those looking for flexible scheduling in a dynamic setting.