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Remote Cohesity Jobs in Phoenix, AZ (NOW HIRING)

This role is a hybrid onsite/remote position requiring candidates to be local to the Tempe, Arizona ... Veeam, Rubrik, Cohesity, Object First, Exagrid preferred. * Create designs for customer projects ...

This role is a hybrid onsite/remote position requiring candidates to be local to the Tempe, Arizona ... Veeam, Rubrik, Cohesity, Object First, Exagrid preferred. * Create designs for customer projects ...

This role is a hybrid onsite/remote position requiring candidates to be local to the Tempe, Arizona ... Veeam, Rubrik, Cohesity, Object First, Exagrid preferred. * Create designs for customer projects ...

Remote Cohesity information

See Phoenix, AZ salary details

$50.1K

$89.2K

$140.5K

How much do remote cohesity jobs pay per year?

As of May 28, 2026, the average yearly pay for remote cohesity in Phoenix, AZ is $89,248.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $99,800.00 per year, depending on experience, location, and employer.

What jobs make $3,000 a month without a degree?

Remote roles such as customer service representatives, data entry clerks, virtual assistants, and sales agents can earn around $3,000 monthly without a degree. These jobs often require strong communication skills, basic computer proficiency, and sometimes specific certifications or training programs.

What is the difference between Remote Cohesity vs Remote Data Engineer?

AspectRemote CohesityRemote Data Engineer
Required CertificationsCertifications in data management, storage, or backup solutions (e.g., Cohesity certifications)Certifications in data engineering, cloud platforms (AWS, Azure), or programming (Python, SQL)
Work EnvironmentPrimarily technical support, deployment, and management of data storage solutionsDesigning, building, and maintaining data pipelines and infrastructure
Employer & Industry UsageUsed by IT and data management teams in various industriesUsed by data teams, analytics, and software companies

While both roles involve working with data, Remote Cohesity focuses on data storage and management solutions, whereas Remote Data Engineers design and implement data pipelines and infrastructure. The certifications and skills overlap in data management but differ in technical focus and daily tasks.

What are popular job titles related to Remote Cohesity jobs in Phoenix, AZ? For Remote Cohesity jobs in Phoenix, AZ, the most frequently searched job titles are:
What cities near Phoenix, AZ are hiring for Remote Cohesity jobs? Cities near Phoenix, AZ with the most Remote Cohesity job openings:

Sr. Data Center Engineer

Bay Area TeK Solutions LLC

Phoenix, AZ • Remote

$107K - $146.90K/yr

Contractor

Posted 14 days ago


Job description

Role: Sr. Data Center Engineer
Location: Open for #remote till contract period after that Phoenix #AZ / Walnut Creek, #CA (Relocation required prior to full-time conversion)
Duration: 6-9 Months Contract(Fulltime conversion after it)
Type : #C2H
Note: Only Visa independent cant can be considered. (#GC and #USC)
Must have: Candidate should have excellent communication and leadership skills.
Please share your Cvs to mamta.k@bayareatechsol.com
Qualifications
Required:
7+ years of experience in infrastructure engineering or data center operations.
Expertise with Cisco HX/UCS, #VMware vSphere, #Nutanix HCI, and #Cohesity.
Proficiency with Linux (Ubuntu, RHEL) and Windows Server platforms.
Hands-on experience with automation tools like Terraform, Ansible, Puppet.
Strong networking fundamentals (TCP/IP, #VLANs, #DNS, #DHCP, firewalls).
Scripting ability in Bash, PowerShell, or Python.
Proven ability to lead, communicate across teams, and deliver technical results.
Willingness to relocate to one of the designated offices prior to full-time hire.

Preferred:
Bachelor’s degree in IT, Computer Science, or related field.
Certifications: #VCP, #RHCE, Nutanix #NCP, #CCNP, #Azure #AWS Associate.
Familiarity with ITIL, change management, and monitoring tools (SolarWinds, Prometheus).
Exposure to containerization #Docker, #Kubernetes and cloud technologies (AWS, Azure).