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Network Engineer information

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$31K

$109K

$158K

How much do network engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for network engineer in Red Wing, MN is $109,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $133,500.00 per year, depending on experience, location, and employer.

What exactly do network engineers do?

Network engineers design, implement, and maintain computer networks such as local area networks (LANs), wide area networks (WANs), and intranets. They troubleshoot network issues, configure hardware and software, and ensure network security, often using tools like routers, switches, and firewalls. Certifications like Cisco CCNA or CompTIA Network+ are commonly required for this role.

What does a Network Engineer do?

A Network Engineer is responsible for designing, implementing, and maintaining the computer networks that support in-house voice, data, video, and wireless network services. They ensure network reliability and performance, troubleshoot issues, and optimize network security. Network Engineers work with hardware and software, coordinate with other IT professionals, and often manage upgrades or expansions to meet an organization's needs.

What are the key skills and qualifications needed to thrive as a Network Engineer, and why are they important?

To thrive as a Network Engineer, you need a solid understanding of network protocols, routing and switching, and typically hold a degree in computer science or a related field. Familiarity with tools like Cisco IOS, network monitoring software, and certifications such as CCNA or CCNP are highly valued. Strong problem-solving skills, effective communication, and the ability to work well under pressure set top performers apart. These skills ensure the reliable design, implementation, and maintenance of network infrastructure, which is critical for organizational connectivity and security.

What Does a Network Engineer Do?

Network Engineers support and optimize all processes for maintaining a company’s computer network, selecting and deploying software and hardware and making local area networks (LANs) and wide area networks (WANs) accessible, and making sure that company personnel can securely access the internet to complete work. Network Engineers also analyze network performance, configure network features based on client needs, and develop guidelines for acceptable network use.

Is AI going to replace network engineers?

AI is unlikely to fully replace network engineers, as their role involves complex problem-solving, system design, and troubleshooting that require human expertise. Instead, AI tools are expected to augment their work by automating routine tasks, allowing engineers to focus on more strategic and advanced network management. Continuous learning and certifications in networking and automation are important for staying relevant in this evolving field.

What is the difference between Network Engineer vs Network Administrator?

AspectNetwork EngineerNetwork Administrator
CertificationsCCNA, CCNP, CompTIA Network+CCNA, CompTIA Network+
Work EnvironmentDesigning, implementing, and troubleshooting network infrastructureManaging and maintaining existing network systems
ResponsibilitiesNetwork design, configuration, and optimizationMonitoring, maintaining, and supporting network operations
Industry UsageIT, telecommunications, large enterprisesCorporate, small to medium businesses, educational institutions

While both roles involve working with networks, Network Engineers focus on designing and building network systems, whereas Network Administrators manage and support existing networks. Understanding these differences helps organizations assign the right responsibilities and professionals for their network needs.

Are network engineers still in demand?

Network engineers are still in demand due to ongoing growth in IT infrastructure, cloud computing, and cybersecurity needs. They typically require skills in network design, troubleshooting, and certifications like Cisco CCNA or CompTIA Network+ to stay competitive in the job market.

What engineers make $500,000?

Senior network engineers with extensive experience, advanced certifications (such as CCIE), and expertise in areas like cybersecurity or large-scale infrastructure can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living regions or executive roles. Such compensation often includes bonuses, stock options, or other incentives.

What are some common challenges Network Engineers face when managing large-scale enterprise networks?

Network Engineers working with large-scale enterprise networks often encounter challenges such as ensuring network security across multiple locations, minimizing downtime during upgrades or maintenance, and troubleshooting complex connectivity issues. They may also need to balance high availability with performance, manage diverse hardware and software, and coordinate with cross-functional teams like cybersecurity and IT support. Staying updated with rapidly evolving technologies and addressing scalability concerns are key aspects of the role.
More about Network Engineer jobs
What cities near Red Wing, MN are hiring for Network Engineer jobs? Cities near Red Wing, MN with the most Network Engineer job openings:
Network Engineer jobs near you
Infographic showing various Network Engineer job openings in Red Wing, MN as of July 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Nights. Highlights an 100% In-person job distribution, with an average salary of $109,040 per year, or $52.4 per hour.
Network Engineer, AI Infrastructure Repair

Network Engineer, AI Infrastructure Repair

Meta

Rosemount, MN

$193K/yr

Full-time

Posted 20 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 245 rated software companies

Job description

Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure depends on reliable, high-performance network engineering. In this role, you will lead the strategy and execution for AI network repair and remediation programs, ensuring that the high-performance fabrics underpinning Meta's AI training and inference clusters remain operational, resilient, and optimized. You will drive cross-functional initiatives spanning network deployment, fault diagnosis, and repair automation across Meta's AI data center environments, shaping the systems and processes that keep AI infrastructure at scale.
Network Engineer, AI Infrastructure Repair Responsibilities:
  • Define and drive the long-term strategy for AI network repair and remediation programs across large-scale data center environments supporting machine learning workloads
  • Lead root cause analysis and resolution of complex network faults affecting high-performance AI training and inference fabrics, including RDMA, high-speed Ethernet, and optical interconnect layers
  • Develop and champion novel approaches to network fault detection, automated remediation, and repair workflow optimization for AI cluster infrastructure
  • Partner with hardware, software, and data center operations teams to align network repair programs with AI infrastructure deployment roadmaps and capacity plans
  • Establish and refine operational frameworks, runbooks, and tooling for network repair at scale, reducing mean time to repair across AI fabric environments
  • Identify systemic reliability risks in AI network infrastructure and drive cross-functional initiatives to address them before they impact production workloads
  • Influence the design of next-generation AI network architectures by contributing repair and reliability insights to hardware and topology decisions
  • Leverage AI-driven analytics and automation tools to redesign repair workflows, accelerating fault identification and resolution across distributed network environments
  • Build and maintain strategic relationships with internal engineering, operations, and vendor partners to ensure repair programs scale with AI infrastructure growth
  • Communicate program status, risk, and strategic recommendations to engineering leaders and cross-functional stakeholders through structured reporting and executive briefings

Minimum Qualifications:
  • Experience influencing technical direction and organizational strategy through data-driven analysis, written proposals, and stakeholder alignment across engineering and operations teams
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Experience leading cross-functional programs that span network operations, hardware deployment, and infrastructure reliability at data center scale
  • Experience developing and driving strategy for network fault management, repair automation, or remediation programs in production environments
  • Experience designing, deploying, or operating high-speed network fabrics used in AI or machine learning infrastructure, including technologies such as RDMA over Converged Ethernet, InfiniBand, or high-density optical interconnects
  • 12+ years of experience in network engineering, with a focus on large-scale data center or high-performance computing network environments

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with network telemetry platforms, observability tooling, or AI-assisted anomaly detection applied to large-scale fabric environments
  • Experience building or scaling repair operations programs, including workforce planning, tooling development, and process standardization across multiple data center sites
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Track record of contributing to network hardware or topology design reviews, translating operational repair insights into upstream engineering improvements
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Familiarity with AI accelerator interconnect architectures and the network reliability requirements of distributed training workloads at hyperscale

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$193,000/year to $271,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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