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Remote Computer Engineering 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 ...

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 ...

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 ...

This is a remote position however individuals must currently reside in Texas. Who We Are Lancium ... Bachelor's degree in Electrical or Computer Engineering (or equivalent experience). * 5+ years of ...

... engineering. The responsibilities include collaborating with project teams, creating technical ... Ability to create cover sheets Ability to set up CAD X-refs for starting of the projects.

... engineering. The responsibilities include collaborating with project teams, creating technical ... Ability to create cover sheets Ability to set up CAD X-refs for starting of the projects.

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Remote Computer Engineering information

See Houston, TX salary details

$46.3K

$116K

$131.3K

How much do remote computer engineering jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote computer engineering 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.

How do remote computer engineers typically collaborate with team members across different time zones?

Remote computer engineers often work with colleagues located in various parts of the world, which requires effective communication and collaboration tools. Teams usually rely on project management platforms, version control systems, and regular video meetings to stay aligned. Clear documentation, asynchronous communication, and flexible schedules help ensure that everyone can contribute efficiently, even when working hours don't fully overlap. Adapting to this environment can be challenging at first, but it fosters strong communication skills and autonomy.

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

To thrive as a Remote Computer Engineer, you need a strong background in computer science, software development, and problem-solving, usually supported by a relevant degree or equivalent experience. Familiarity with programming languages, version control systems like Git, and cloud platforms such as AWS or Azure is typically required, alongside certifications like CompTIA or AWS Certified Solutions Architect. Excellent communication, self-motivation, and time management are essential soft skills for effective remote collaboration and productivity. These skills and qualities are crucial for delivering high-quality technical solutions while working independently in distributed teams.

What is the difference between Remote Computer Engineering vs Remote Software Development?

AspectRemote Computer EngineeringRemote Software Development
Required CredentialsBachelor's in Computer Engineering, certifications like Cisco CCNA or CompTIA Network+Bachelor's in Computer Science or Software Engineering, certifications like Microsoft Certified, AWS Developer
Work EnvironmentDesigning hardware, embedded systems, network infrastructure; often involves labs or on-site hardware testingWriting, testing, and deploying software applications; primarily computer-based work
Employer & Industry UsageTelecommunications, hardware manufacturing, embedded systems companiesTech companies, startups, software firms, IT services

Remote Computer Engineering focuses on hardware design, embedded systems, and network infrastructure, often requiring specialized certifications and hardware labs. In contrast, Remote Software Development centers on coding, testing, and deploying software applications, with a primary emphasis on programming skills and cloud certifications. Both roles are in high demand but serve different technical needs within the tech industry.

What is remote computer engineering?

Remote computer engineering refers to the practice of working as a computer engineer from a location outside of a traditional office, often from home or another remote setting. Remote computer engineers design, develop, test, and maintain computer hardware and software systems, collaborating with teams using digital communication tools. This role requires strong technical skills, self-motivation, and the ability to manage projects independently while staying connected with colleagues virtually. Remote positions are popular in the tech industry due to their flexibility and access to a global talent pool.
What are the most commonly searched types of Computer Engineering jobs in Houston, TX? The most popular types of Computer Engineering jobs in Houston, TX are:
What are popular job titles related to Remote Computer Engineering jobs in Houston, TX? For Remote Computer Engineering jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Computer Engineering jobs in Houston, TX look for? The top searched job categories for Remote Computer Engineering jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Computer Engineering jobs? Cities near Houston, TX with the most Remote Computer Engineering job openings:
Infographic showing various Remote Computer Engineering job openings in Houston, TX as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% 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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