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Network Engineer Remote Internship Jobs in Rochester, NY

... AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

... remote surveillance, corrective actions, remediation, inspections, and engineering solutions to manufacturers across all industries. We deliver these services by deploying a network of highly skilled ...

Customer Trust & Experience Consultant (Fully Remote - Sweden | German speaking) Always Human ... Or, you are a senior level student (year 2+ in uni) currently pursuing a degree in engineering ...

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Network Engineer Remote Internship information

See Rochester, NY salary details

$30.6K

$107.6K

$155.9K

How much do network engineer remote internship jobs pay per year?

As of May 30, 2026, the average yearly pay for network engineer remote internship in Rochester, NY is $107,586.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $131,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Network Engineer Remote Intern, you need a solid understanding of networking concepts, protocols (like TCP/IP), and at least a basic certification such as CompTIA Network+ or Cisco CCNA. Familiarity with network monitoring tools, configuration software (such as Cisco Packet Tracer), and remote collaboration platforms is typically required. Strong problem-solving skills, attention to detail, and effective written communication are essential soft skills in a remote environment. These abilities ensure you can troubleshoot issues, collaborate with distributed teams, and maintain secure, reliable network operations from a distance.

What are some common challenges faced during a remote Network Engineer internship, and how can I overcome them?

Remote Network Engineer internships often require interns to troubleshoot and configure networks without direct, in-person guidance, which can be challenging when tackling complex issues. Effective communication with your team is essential—don't hesitate to ask questions or request clarification through chat or video calls. Additionally, managing access to network devices and sensitive information remotely may involve navigating strict security protocols, so becoming familiar with secure VPNs and remote management tools early on will help you work more efficiently. Proactively documenting your work and maintaining clear records can also prevent miscommunication and streamline collaboration with mentors and peers.

What is a Network Engineer Remote Internship?

A Network Engineer Remote Internship is a temporary, often entry-level position that allows individuals to gain hands-on experience in network engineering while working remotely. Interns typically assist with tasks such as configuring network devices, monitoring network performance, troubleshooting connectivity issues, and supporting the implementation of network solutions. This type of internship is ideal for students or recent graduates who are interested in building their skills in computer networking, learning industry tools, and working with experienced network engineers, all from a remote location.

What is the difference between Network Engineer Remote Internship vs Network Administrator?

AspectNetwork Engineer Remote InternshipNetwork Administrator
CredentialsBasic networking certifications (e.g., Cisco CCNA), relevant courseworkCertifications like CCNA, CompTIA Network+ often required
Work EnvironmentRemote, internship setting, learning-focusedOn-site or remote, full-time role managing networks
Employer & Industry UsageInternship programs in tech companies, IT departmentsBusinesses, organizations maintaining network infrastructure
Search & Comparison IntentEntry-level, internship opportunities, learning rolesFull-time network management roles, career progression

The Network Engineer Remote Internship is an entry-level, learning-focused position often offered as a remote internship, ideal for gaining initial experience. In contrast, a Network Administrator is a full-time role responsible for maintaining and managing network infrastructure. While both roles require similar certifications and work in related environments, the internship emphasizes training and skill development, whereas the administrator role involves ongoing operational responsibilities.

What are the most commonly searched types of Network Engineer Remote jobs in Rochester, NY? The most popular types of Network Engineer Remote jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Network Engineer Remote Internship jobs? Cities near Rochester, NY with the most Network Engineer Remote Internship job openings:
Databricks Manager

Databricks Manager

Deloitte

Rochester, NY • On-site, Remote

Other

Posted 8 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services


Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Databricks Manager you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a Databricks Manager on the AI & Data team, you will be responsible for...

  • Lead solution reviews and design update discussions to drive architecture decisions and secure design approvals
  • Translate approved designs into technical delivery plans and support the delivery team in building Databricks environments across Microsoft Azure, Amazon Web Services, and Google Cloud Platform, including integrations
  • Provide hands-on support for Databricks development, platform configuration, and infrastructure setup
  • Coordinate technical execution across the global delivery team to support quality delivery and issue resolution
  • Support data science and model teams with platform needs, environment enablement, and deployment readiness

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or equivalent experience.
  • 8+ years of experience with Databricks platform implementation, configuration, or development
  • Experience leading solution reviews, design updates, and architecture approval activities for cloud data platforms
  • Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services, or Google Cloud Platform, including integrations
  • Experience with Databricks MLOps or infrastructure setup
  • Experience coordinating delivery teams from a technical lead perspective and communicating designs, status, issues, and decisions to clients and project stakeholders
  • Limited immigration sponsorship may be available.
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience in consulting, including experience serving healthcare industry clients

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $147,600 to $174,600.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Databricks Manager you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a Databricks Manager on the AI & Data team, you will be responsible for...

  • Lead solution reviews and design update discussions to drive architecture decisions and secure design approvals
  • Translate approved designs into technical delivery plans and support the delivery team in building Databricks environments across Microsoft Azure, Amazon Web Services, and Google Cloud Platform, including integrations
  • Provide hands-on support for Databricks development, platform configuration, and infrastructure setup
  • Coordinate technical execution across the global delivery team to support quality delivery and issue resolution
  • Support data science and model teams with platform needs, environment enablement, and deployment readiness

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or equivalent experience.
  • 8+ years of experience with Databricks platform implementation, configuration, or development
  • Experience leading solution reviews, design updates, and architecture approval activities for cloud data platforms
  • Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services, or Google Cloud Platform, including integrations
  • Experience with Databricks MLOps or infrastructure setup
  • Experience coordinating delivery teams from a technical lead perspective and communicating designs, status, issues, and decisions to clients and project stakeholders
  • Limited immigration sponsorship may be available.
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience in consulting, including experience serving healthcare industry clients

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $147,600 to $174,600.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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