Description The Data Center Technical Operations Engineer, Facility will be responsible for Data Center Engineering Operations within an Amazon Data Center including risk management and mitigation, corrective and preventative maintenance of critical infrastructure, vendor management and metric reporting.

Responsibilities:

• Responsible for the on-site management of shift technicians, SR shift technicians, sub-contractors and vendors, ensuring that all work performed is in accordance with established practices and procedures.
• Establish performance benchmarks, conduct analyses, and prepare reports on all aspects of the critical facility operations and maintenance.
• Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency.
• Operate and manage both routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc.
• May assist in the design and build out of new facilities.
• May assist in projects to increase current facility efficiency.
• Responsible for asset and inventory management.
• Assist in recruiting efforts
• Deliver quality service and ensure all customer demands are met

Basic Qualifications:

• Bachelor's Degree or Technical (Military/ Trade School) Degree and relevant experience
• 0-2 years of relevant work experience
• 0-2 years of management experience
• Strong verbal and written communication skills
• Strong leadership and organizational skills
• Strong attention to detail
• Ability to prioritize in complex, fast-paced environment. Preferred Qualifications
• 0-2 years of Data Center Engineering Experience
• 0-2 years of Data Center Management Experience
• Bachelor's Degree in Electrical Engineering, Mechanical Engineering or relevant discipline
• Fundamental knowledge of network design and layout as well as low voltage (copper/ fiber) cabling Skills data center, cabling installation, rack stack Top Skills Details data center,cabling installation,rack stack Experience Level Entry Level Job Type & Location This is a Contract position based out of Andrews, TX. Pay and Benefits The pay range for this position is $25.00
• $30.

00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan
• Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Andrews,TX.

Application Deadline This position is anticipated to close on Sep 23, 2026. About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance:

Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.