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Remote Computer Engineer Jobs in Houston, TX (NOW HIRING)

Bachelor's degree in preferably Computer Science, Information Technology, Computer Engineering, or ... remote client service delivery. Work you'll do As a GCP Engineer on the AI & Data team, you will be ...

Collaborating closely with project managers and engineers, you'll help review and refine ... and eligibility for hybrid and remote work options for some employees based on role ...

This is a full-time remote role for an MEP Engineer/Designer. The role involves day-to-day tasks ... Ability to create cover sheets Ability to set up CAD X-refs for starting of the projects.

This is a full-time remote role for an MEP Engineer/Designer. The role involves day-to-day tasks ... Ability to create cover sheets Ability to set up CAD X-refs for starting of the projects.

Collaborating closely with project managers and engineers, you'll help review and refine ... and eligibility for hybrid and remote work options for some employees based on role ...

Collaborating closely with project managers and engineers, you'll help review and refine ... and eligibility for hybrid and remote work options for some employees based on role ...

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Requirement: * Implemented GraphRag in AI/ML products (production deployments). * Strong Azure cloud experience. * Python/PySpark ...

Position can be located in any of our offices, hybrid or fully remote Key Responsibilities CAD ... Collaborate with engineering, design, and project teams to resolve CAD related challenges. * Assist ...

Senior Software Engineer - Remote

Texas City, TX · Remote

$104K - $138K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn ...

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Remote Computer Engineer information

See Houston, TX salary details

$46.3K

$116K

$131.3K

How much do remote computer engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote computer engineer in Houston, TX is $116,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $125,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote computer engineers, and how can they be overcome?

Remote computer engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with colleagues, and staying motivated without direct in-person supervision. Overcoming these challenges typically involves proactive scheduling, frequent updates via team messaging tools, and focusing on structured routines to manage tasks independently. Many companies also offer virtual stand-ups, regular check-ins, and supportive remote work cultures to foster connection and keep team members engaged. With the right strategies and tools, remote engineers can collaborate effectively and thrive in their roles.

What is a remote computer engineer?

A Remote Computer Engineer is a professional who designs, develops, tests, and maintains computer systems and software while working remotely. They may specialize in areas such as software development, network engineering, cybersecurity, or cloud computing. These engineers collaborate with teams using online tools, troubleshoot technical issues, and ensure systems run efficiently. Remote work allows flexibility but requires strong communication skills and self-discipline. Many companies hire remote computer engineers to reduce costs and access global talent.

What are the key skills and qualifications needed to thrive in the remote computer engineer position, and why are they important?

To thrive as a Remote Computer Engineer, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Experience with collaboration platforms (like Git, Jira, or Slack), cloud technologies, and relevant certifications such as AWS or CompTIA Network+ is often required. Excellent time management, self-motivation, and written communication skills are crucial for successful remote work. These qualities enable consistent productivity, seamless teamwork, and effective project delivery in a decentralized environment.

Can you work remotely as a computer engineer?

Yes, many computer engineering roles can be performed remotely, especially those focused on software development, system design, and troubleshooting. Remote work often requires strong communication skills, familiarity with collaboration tools, and sometimes specific certifications or security clearances depending on the employer.
What are the most commonly searched types of Computer Engineer jobs in Houston, TX? The most popular types of Computer Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Computer Engineer jobs? Cities near Houston, TX with the most Remote Computer Engineer job openings:
Infographic showing various Remote Computer Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $116,044 per year, or $55.8 per hour.

GCP Engineer

Deloitte

Houston, TX • On-site, Remote

Full-time

Posted 9 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced GCP Engineer 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.

Work you'll do

As a GCP Engineer on the AI & Data team, you will be responsible for...

  • Build, configure, and support GCP-based data lake and data platform environments, including integrations
  • Translate approved technical designs into implementation tasks, configurations, and deployment steps
  • Develop and support cloud-based data pipelines, platform components, and environment setup activities
  • Partner with delivery teams, architects, and stakeholders to support implementation, testing, and release readiness
  • Troubleshoot platform issues and support ongoing performance, stability, and operational needs

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
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines

The team

AI & Engineering leverages engineering capabilities to build, deploy, and operate sector-focused solutions across software, data, AI, network, and hybrid cloud infrastructure. The practice helps clients modernize technology and data platforms and apply engineering to mission-critical operations. Our AI & Data practice designs, develops, and operates data and AI platforms, products, insights, and services to help organizations scale their analytics and AI capabilities.

Qualifications

Required:

  • Bachelor's degree in preferably Computer Science, Information Technology, Computer Engineering, or equivalent experience
  • 5+ years of experience with Google Cloud Platform cloud services, configuration, or implementation
  • Experience building or supporting cloud-based data platforms, data lakes, or data engineering solutions in Google Cloud Platform
  • Experience developing or supporting data pipelines and platform integrations
  • Experience translating technical designs into implementation tasks and deployment steps
  • 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
Qualifications:

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced GCP Engineer 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.

Work you'll do

As a GCP Engineer on the AI & Data team, you will be responsible for...

  • Build, configure, and support GCP-based data lake and data platform environments, including integrations
  • Translate approved technical designs into implementation tasks, configurations, and deployment steps
  • Develop and support cloud-based data pipelines, platform components, and environment setup activities
  • Partner with delivery teams, architects, and stakeholders to support implementation, testing, and release readiness
  • Troubleshoot platform issues and support ongoing performance, stability, and operational needs

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
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines

The team

AI & Engineering leverages engineering capabilities to build, deploy, and operate sector-focused solutions across software, data, AI, network, and hybrid cloud infrastructure. The practice helps clients modernize technology and data platforms and apply engineering to mission-critical operations. Our AI & Data practice designs, develops, and operates data and AI platforms, products, insights, and services to help organizations scale their analytics and AI capabilities.

Qualifications

Required:

  • Bachelor's degree in preferably Computer Science, Information Technology, Computer Engineering, or equivalent experience
  • 5+ years of experience with Google Cloud Platform cloud services, configuration, or implementation
  • Experience building or supporting cloud-based data platforms, data lakes, or data engineering solutions in Google Cloud Platform
  • Experience developing or supporting data pipelines and platform integrations
  • Experience translating technical designs into implementation tasks and deployment steps
  • 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
Education:Bachelor's DegreeEmployment Type:

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