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Data Center Analyst Remote Jobs in Missouri (NOW HIRING)

Jobgether

You will provide critical engineering expertise across data center acquisition, development, and ... Flexible remote-first working environment with ownership and autonomy. * Career growth ...

Velociti

Estimator

Riverside, MO · On-site +1

... Data Center amp; Technology Solutions Location: Riverside, MO (Kansas City Metro) or Remote (U.S ... Analyze architectural drawings, specifications, and scope documents to develop detailed labor and ...

Jobgether

$66K - $83K/yr

Working in a fully remote, international environment, you will contribute to high-impact projects while helping advance data-driven marketing excellence. Accountabilities * Drive marketing analytics ...

New

EquipmentShare

Senior Data Analyst

Columbia, MO · Remote

$81K - $103K/yr

This position is fully remote. Primary Responsibilities * Apply operations research methodologies ... At least 6 years of experience in a data analytics role, with a focus on operations research and ...

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Data Center Analyst Remote information

What does a data center analyst do when working remotely?

A remote Data Center Analyst monitors, manages, and troubleshoots data center operations from a remote location. They use specialized software tools to track system performance, oversee network and server health, and respond to alerts or incidents as they arise. Their responsibilities may also include analyzing trends, ensuring security protocols are followed, and coordinating with on-site staff for physical tasks. This role requires strong technical skills, attention to detail, and the ability to work independently while supporting a team remotely.

What are the key skills and qualifications needed to thrive as a data center analyst remote?

To thrive as a Data Center Analyst (Remote), you need a solid understanding of network infrastructure, server management, and data security, often supported by a degree in IT or a related field. Familiarity with monitoring tools, ticketing systems, and certifications like CompTIA Server+ or Cisco CCNA are typically required. Strong problem-solving abilities, attention to detail, and effective remote communication skills are essential for success in this position. These competencies ensure reliable operations, rapid issue resolution, and seamless collaboration in a distributed work environment.

What are some common challenges a data center analyst faces when working remotely, and how can they be addressed?

Remote Data Center Analysts often encounter challenges such as troubleshooting hardware issues without physical access, coordinating with on-site staff, and managing secure data access. To address these, analysts rely heavily on remote monitoring tools, strong communication skills, and established protocols for escalating issues that require hands-on intervention. Building strong relationships with on-site teams and staying updated on remote management technologies can significantly improve efficiency and problem resolution.
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Data Center Analyst Remote jobs near you

Mechanical Engineer- Data Centers

Jobgether

On-site, Remote

Full-time

Posted 8 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Mechanical Engineer- Data Centers based in Netherlands.

This role offers the opportunity to shape the mechanical foundation of next-generation AI infrastructure at global scale.
You will provide critical engineering expertise across data center acquisition, development, and construction readiness activities.
The position focuses on evaluating complex mechanical systems, cooling strategies, and infrastructure feasibility for high-density AI environments.
You will collaborate with multidisciplinary teams across engineering, development, energy, finance, and delivery functions.
This is a high-impact opportunity to build technical standards and processes that support the growth of advanced AI cloud infrastructure.
You will operate in an innovative, fast-moving environment where ownership, technical judgment, and problem-solving are highly valued.

Accountabilities:

As a Mechanical Engineer, you will own the technical evaluation of mechanical infrastructure across the full data center acquisition and development lifecycle. You will help ensure that cooling systems, equipment strategies, and mechanical designs are technically viable before projects move forward, while contributing to scalable processes for future infrastructure expansion.

  • Lead mechanical engineering evaluations for prospective data center sites, colocation opportunities, and build-to-suit projects.
  • Conduct technical due diligence focused on cooling capacity, mechanical systems, equipment feasibility, and infrastructure readiness.
  • Assess cooling approaches including liquid cooling, air cooling, hybrid solutions, chiller plants, and CRAH/CRAC systems for AI and hyperscale workloads.
  • Provide technical recommendations and Go/No-Go input based on mechanical feasibility, project risks, and operational requirements.
  • Define mechanical assumptions for capacity planning, project budgets, schedules, and risk assessments.
  • Partner with engineering teams to establish cooling topology, equipment strategies, redundancy approaches, and design criteria.
  • Evaluate BMS controls integration, commissioning requirements, equipment availability, and vendor constraints.
  • Ensure mechanical design intent and technical requirements are maintained from acquisition through construction delivery.
  • Develop technical readiness standards, evaluation frameworks, and repeatable processes for infrastructure assessments.
  • Collaborate with internal stakeholders, consulting engineers, equipment suppliers, and commissioning partners to ensure successful project execution.
Requirements:

The ideal candidate is an experienced mechanical engineering professional with a strong background in mission-critical environments, data centers, and complex infrastructure projects. You should be comfortable working independently, navigating ambiguity, and creating technical frameworks while collaborating with diverse teams.

  • 8+ years of experience in data center mechanical engineering, MEP design, or mission-critical mechanical systems.
  • Strong expertise in cooling topology design, liquid cooling systems, chiller plants, and CRAH/CRAC configurations.
  • Experience evaluating mechanical feasibility for data center sites or facilities before commercial commitments.
  • Solid understanding of mechanical capacity planning, equipment selection, redundancy strategies, and capital expenditure trade-offs.
  • Experience supporting hyperscale data center, AI infrastructure, or large-scale technology environments is highly preferred.
  • Knowledge of BMS controls integration and mechanical systems commissioning processes.
  • Experience with colocation or build-to-suit infrastructure due diligence is a plus.
  • Bachelor's degree in Mechanical Engineering, a related discipline, or equivalent practical experience.
  • Strong communication and executive presentation skills, with the ability to explain complex technical topics clearly.
  • Ability to manage multiple priorities, work autonomously, and collaborate effectively in a fast-paced environment.
  • Professional Engineer (PE) license or similar certification is considered an advantage.
Benefits:
  • Competitive compensation package.
  • Flexible remote-first working environment with ownership and autonomy.
  • Career growth opportunities and continuous learning support.
  • Opportunity to work on large-scale AI infrastructure projects with global impact.
  • Collaborative international environment with talented engineering teams.
  • Chance to help define technical standards, processes, and frameworks for future infrastructure development.
  • Innovative culture focused on trust, ownership, and meaningful impact.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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