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Entry Level Remote Network Engineer Jobs in Minnesota

Business Systems Engineer

Maple Grove, MN ยท On-site +1

$80K - $100K/yr

Perform day-to-day management of NinjaRMM and other remote support systems, including configuration ... Knowledge of LAN and WAN networking fundamentals, including DNS and DHCP * Knowledge of server ...

Field Application Engineer

Minnetonka, MN ยท On-site +1

$54K - $81K/yr

Locations | Entry-Level | Full-Time Are you ready to launch your career with one of the world ... Provide on-call, on-site and remote technical support, training, and troubleshooting * Travel ...

Provide remote and on-site technical support for ZEISS Industrial Metrology systems, including ... Networking and connectivity * Database management Project-Based Applications Expertise * Support ...

Controls Engineer

Saint Paul, MN ยท On-site +1

$90K - $125K/yr

This remote position can be located in the Charlottesville, VA area, or surrounding areas or Remote ... Prepare project design/bidding documents including P&ID drawings, system network drawings, controls ...

Psychiatrist - (Remote)

Minneapolis, MN ยท Remote

$123 - $168/hr

Work hand-in-hand with UpLift's network of licensed therapists to deliver world-class, evidence ... Share product and workflow feedback with UpLift's engineering and operations teams to help improve ...

Consultant, Engineer

Minneapolis, MN ยท On-site +1

$97K/yr

Working alongside a global network of experts, you'll deepen your experience, expand your technical ... Work in a remote/hybrid environment, maintaining clear communication on schedules, deliverables ...

Consultant, Engineer

Minneapolis, MN ยท On-site +1

$97K/yr

Working alongside a global network of experts, you'll deepen your experience, expand your technical ... Work in a remote/hybrid environment, maintaining clear communication on schedules, deliverables ...

Consultant, Engineer

Minneapolis, MN ยท On-site +1

$97K/yr

Working alongside a global network of experts, you'll deepen your experience, expand your technical ... Work in a remote/hybrid environment, maintaining clear communication on schedules, deliverables ...

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Entry Level Remote Network Engineer information

What is the difference between Entry Level Remote Network Engineer vs Network Support Specialist?

AspectEntry Level Remote Network EngineerNetwork Support Specialist
CertificationsCCNA, CompTIA Network+CompTIA Network+, Cisco certifications
Work EnvironmentRemote, technical troubleshooting, network designRemote or on-site, troubleshooting, user support
Industry UsageIT, telecommunications, enterprise networksIT support, service providers, corporate networks

Both roles often require similar certifications and work in remote environments, but the Entry Level Remote Network Engineer focuses more on network design and implementation, while the Network Support Specialist emphasizes troubleshooting and user support. The engineer role typically involves more technical planning, whereas the support role centers on resolving network issues for end-users.

What does an Entry Level Remote Network Engineer do?

An Entry Level Remote Network Engineer supports the design, implementation, and maintenance of computer networks from a remote location. Their tasks often include monitoring network performance, troubleshooting connectivity issues, assisting with network configurations, and providing technical support. They work with both hardware (like routers and switches) and software to ensure that network systems are secure and functioning efficiently. This role is ideal for those starting their careers in IT and offers opportunities to learn and grow in network engineering.

What are the key skills and qualifications needed to thrive as an Entry Level Remote Network Engineer, and why are they important?

To thrive as an Entry Level Remote Network Engineer, you need a solid understanding of networking fundamentals, TCP/IP protocols, and a relevant degree or certifications such as CompTIA Network+ or Cisco CCNA. Familiarity with network monitoring tools, basic configuration of routers and switches, and remote troubleshooting systems is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for this role. These competencies ensure reliable network performance, efficient issue resolution, and clear collaboration with remote teams and clients.

What are some common challenges faced by entry level remote network engineers, and how can they overcome them?

Entry level remote network engineers often face challenges such as limited direct access to on-site hardware, troubleshooting issues remotely, and effectively communicating with team members across different locations. To overcome these obstacles, it's essential to develop strong documentation and remote diagnostic skills, utilize remote management tools, and proactively engage in regular communication with colleagues and mentors. Building a habit of asking clarifying questions and participating in virtual team meetings can also help bridge any gaps caused by the remote work environment.
What are popular job titles related to Entry Level Remote Network Engineer jobs in Minnesota? For Entry Level Remote Network Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Entry Level Remote Network Engineer jobs in Minnesota look for? The top searched job categories for Entry Level Remote Network Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Entry Level Remote Network Engineer jobs? Cities in Minnesota with the most Entry Level Remote Network Engineer job openings:
Infographic showing various Entry Level Remote Network Engineer job openings in Minnesota as of June 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution.

Network Detection Engineer

Futran Tech Solutions Pvt. Ltd.

Minneapolis, MN โ€ข On-site, Remote

Full-time

Posted 23 days ago


Job description

Title: Network Detection Engineer ( NDR )
Duration: Full Time
Location: Minneapolis MN / Remote
Network Detection Specialist Engineer
We are seeking a skilled engineer to support our Network Detection & Response (NDR) operations and build a modern health monitoring system for our Corelight security platform. This role is ideal for someone who blends security operations experience with strong automation and monitoring skills.
Key Responsibilities
Support day to day operations of the NDR platform, including sensor health, data flow monitoring, and alert handling.
Build and maintain a platform health monitoring solution using Grafana, Prometheus, InfluxDB, and API integrations.
Develop automation scripts in Python to collect system and application health metrics.
Create dashboards and alerts that provide real time visibility into system performance and uptime.
Work with Security Operations, Incident Response, and Network teams to ensure timely detection and resolution of issues.
Required Qualifications
Experience with network security tools, ideally Corelight, Endace, Zeek, or Suricata.
Strong Python skills, especially for automation and working with APIs.
Hands on experience with monitoring and visualization tools such as Grafana, Prometheus, and/or InfluxDB.
Solid understanding of general network concepts (e.g., TCP/IP, traffic flow, packet capture).
Background in SOC, NDR monitoring, or security operations is highly desirable.
Experience building dashboards, alerts, or custom data collectors.
Familiarity with containerized environments (Docker, Kubernetes).
Knowledge of API authentication and data integration best practices.
Required AI Skills:
- All resources are expected to demonstrate baseline proficiency in enterprise-approved AI tools as part of their day-to-day responsibilities. This includes, but is not limited to:
-Consistent Use: Maintain a minimum of 90% weekly usage of AI tools such as GitHub Copilot, Microsoft 365 Copilot, and other GenAI platforms approved by the enterprise.
-Applied Productivity: Leverage AI tools to enhance coding, documentation, data analysis, and decision-making workflows.
-Continuous Learning: Stay current with evolving AI capabilities and features, and apply them to improve delivery