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Remote Data Center Jobs in Raleigh, NC (NOW HIRING)

This is a remote position based out of the company headquarters in Raleigh, NC. The role contributes directly to the electrical design deliverables for a high-priority data center development program.

This position is remote in the Raleigh, NC area with a hybrid setup as determined by SHI management ... Collaborate with account teams to evaluate and understand customer data center environments and ...

Contracts Manager

Raleigh, NC · Remote

$86K - $115K/yr

Experience a consistent cloud environment from the data center to the edge while retaining full ... Employee Resource Groups EEO/VEVRAA #LI-Remote #li-KB1

vCIO

Raleigh, NC · Remote

Location Remote (USA): Preference for candidates with life Sciences, hospitality, or generalist ... and security for data center hosted applications and virtual and private cloud solutions.

vCIO

Raleigh, NC · Remote

Location Remote (USA): Preference for candidates with life Sciences, hospitality, or generalist ... and security for data center hosted applications and virtual and private cloud solutions.

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Remote Data Center information

See Raleigh, NC salary details

$10

$47

$95

How much do remote data center jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for remote data center in Raleigh, NC is $47.49, according to ZipRecruiter salary data. Most workers in this role earn between $23.70 and $74.58 per hour, depending on experience, location, and employer.

How does working in a remote data center role typically differ from on-site data center positions in terms of daily collaboration and communication?

In a remote data center role, much of the collaboration with on-site technicians, network engineers, and IT support teams is conducted through digital platforms such as video conferences, ticketing systems, and chat applications. While you may not physically interact with hardware, you'll often coordinate troubleshooting, manage configurations, and monitor systems remotely. Effective communication and clear documentation are especially critical, as you rely on local staff for hands-on tasks and need to ensure instructions are precise. This setup offers flexibility but also demands strong self-discipline and proactive engagement to stay aligned with the team.

What are the key skills and qualifications needed to thrive as a Remote Data Center Technician, and why are they important?

To thrive as a Remote Data Center Technician, you need strong knowledge of server hardware, networking, and data center operations, often supported by certifications like CompTIA Server+ or Cisco CCNA. Familiarity with remote monitoring tools, ticketing systems, and infrastructure management platforms is typically required. Excellent problem-solving, time management, and communication skills help technicians address issues efficiently and coordinate with on-site teams. These skills ensure smooth data center operations, minimize downtime, and support critical business functions from a remote environment.

What is the difference between Remote Data Center vs Data Center Technician?

AspectRemote Data CenterData Center Technician
CredentialsIT certifications, network, and server management skillsIT certifications, hardware, and network skills
Work EnvironmentRemote, often from home or remote officeOn-site at data center facilities
Industry UsageIT, cloud services, remote managementData center operations, hardware maintenance
Search & Comparison IntentUnderstanding remote data center roles and responsibilitiesTechnical hardware troubleshooting and maintenance

Remote Data Center roles focus on managing data center operations remotely, often involving cloud and network management from a distance. Data Center Technicians work on-site, handling hardware installation, troubleshooting, and maintenance within physical data centers. While both roles require similar technical certifications, their work environments and daily tasks differ significantly, catering to different industry needs.

What is a remote data center?

A remote data center is a facility that houses computer systems, servers, and related components, located offsite and managed remotely rather than on the primary business premises. These data centers are accessed and operated through network connections, enabling businesses to store, process, and manage data without maintaining physical infrastructure onsite. Remote data centers provide benefits such as increased security, scalability, disaster recovery, and cost savings for organizations that need reliable IT resources but want to minimize direct management. They are commonly used for cloud computing, backup, and hosting large-scale applications.

Can data centers be remote?

Data centers are typically physical facilities that house servers and networking equipment, and they are usually located on-site or in specific geographic locations for security and infrastructure reasons. However, remote management and monitoring of data centers are common, allowing administrators to control systems from anywhere. The physical location of a data center is generally fixed, but remote access tools enable remote operation and maintenance.

How can I make 2000 a week working from home?

A remote data center role typically involves technical tasks such as server management, network troubleshooting, and system maintenance. Earning $2000 weekly may require advanced skills, certifications, and experience, often involving full-time hours or specialized freelance work in IT or cloud services. Building expertise in relevant tools and obtaining certifications like Cisco or CompTIA can improve earning potential.

How to make $1000 a week remote?

A remote data center role can potentially pay $1000 or more per week, especially for positions such as network administrators, system engineers, or technical support specialists with relevant certifications and experience. Increasing earnings may involve taking on multiple projects, working overtime, or advancing to higher-level roles with specialized skills like cloud computing or cybersecurity.

What jobs pay $10,000 a month without a degree?

Remote data center roles such as network engineers, system administrators, or cloud infrastructure specialists can pay $10,000 or more monthly without requiring a traditional degree, often relying on industry certifications like Cisco or AWS and hands-on experience. High-paying tech jobs in this field typically demand technical skills, problem-solving ability, and familiarity with data center hardware and software environments.
What are the most commonly searched types of Data Center jobs in Raleigh, NC? The most popular types of Data Center jobs in Raleigh, NC are:
What are popular job titles related to Remote Data Center jobs in Raleigh, NC? For Remote Data Center jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Data Center jobs in Raleigh, NC look for? The top searched job categories for Remote Data Center jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Data Center jobs? Cities near Raleigh, NC with the most Remote Data Center job openings:
Infographic showing various Remote Data Center job openings in Raleigh, NC as of June 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 100% Remote job distribution, with an average salary of $98,786 per year, or $47.5 per hour.

Manager, Data Engineer (Remote)

Arch Capital Group

Raleigh, NC • On-site, Remote

$100K - $174K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Key responsibilities

  • Lead end-to-end delivery of complex data pipelines for the Claims Analytics group.

  • Coach and guide a team of data engineers while partnering with stakeholders to deliver high-quality data solutions.

  • Automate data ingestion and integration to connect internal and external data sources.


Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibilityâ„ .
Job Summary
Strategic Analytics at Arch is a growing team at the forefront of the company's AI transformation. We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets and AI-assisted development practices. These capabilities are becoming increasingly embedded across the enterprise.
Data is central to our mission. We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both traditional analytics and emerging AI use cases.
As Manager of Strategic Analytics Services, supporting the Claims Analytics group, you will lead end-to-end delivery of complex data pipelines that put analytics at the center of business processes. This is a hands-on role that combines execution, technical leadership, and stakeholder partnership, including leading and developing a team of data engineers.
You will work closely with business and technical leaders to align priorities, shape scalable data solutions, and deliver measurable outcomes. You will also guide engineers and reinforce strong delivery practices, while advancing the team's capabilities in modern data engineering, AI-assisted development, and well-governed, reusable data systems.
Responsibilities
  • Lead delivery of high-quality data solutions by partnering with stakeholders and coaching data engineers.

  • Own end-to-end data engineering delivery across the project lifecycle.

  • Build strong partnerships across the organization to align priorities and deliver data-related goals.

  • Design clear, analytics-ready data structures by anticipating downstream analytical needs.

  • Evaluate and adopt new technologies and data sources to improve capability and efficiency.

  • Automate data ingestion and integration to reliably connect internal and external data sources.

  • Document data sources, definitions, and technical solutions to support transparency and reuse.

  • Reinforce strong delivery hygiene (version control, code review, automated testing, CI/CD, and operational readiness/monitoring).

  • Apply agentic, AI-assisted coding practices to accelerate delivery while maintaining appropriate controls.

  • Build agent-ready data assets, including semantic layer components (ontology, taxonomy, domain models) and governed access.

  • Provide retrieval-ready context (RAG pipelines, vector stores, knowledge bases) when needed.

Desired Skills
Data Engineering
  • Strong programming expertise in Python and SQL, including data engineering frameworks, large-scale data manipulation, and governed AI-assisted development practices

  • Apache Spark proficiency (PySpark preferred) and experience with distributed data processing, including building scalable pipelines and optimizing performance for large-scale datasets

  • Cloud data platform proficiency (Snowflake, Databricks, Azure ecosystem fundamentals)

  • Data warehousing and modeling fundamentals (schema design, conformed definitions, performance optimization)

  • Data quality and observability practices (testing, reconciliation, monitoring)

Analytics & AI Readiness
  • Insurance data modeling for analytics and actuarial-ready data structures

  • MLOps familiarity supporting operationalized analytics and models

  • Semantic modeling skills (business definitions, metrics, ontology/taxonomy/domain models)

  • Business definition standardization for reuse across BI and AI use cases

Leadership & Operating Model
  • Self-directed execution and ownership in a distributed environment, combined with strong cross-functional collaboration, stakeholder partnership, and team building

  • Strong problem-solving and critical thinking skills, including the ability to decompose complex challenges

  • Clear communication across technical and business audiences, with the ability to adapt effectively in ambiguous and evolving environments

Required Skills
  • 6+ years' experience of hands-on development in Python and distributed processing environments (e.g., Spark)

  • 2-3+ years of technical leadership or project delivery ownership experience
  • Hands-on Databricks experience highly preferred

Education
  • College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent.

For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.
$100,500 - $174,000/year
  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.
  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.
10200 Arch Capital Services LLC