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Remote Computer Science Jobs in Fontana, CA (NOW HIRING)

Alimentiv

Statistician

Ontario, CA · Remote

... scientific processes and results. Project Support * Provide statistical expertise and guidance ... Education Reimbursement of up to $1,050 CAD (or local equivalent) annually for eligible expenses

Dudek

As-Needed Field Biologist - Riverside

Riverside, CA · On-site +1

$24 - $50/hr

Scientific Collecting Permit from California Department of Fish and Wildlife * Agency-Qualified ... Working on a computer, sitting, or standing for long periods of time in an office or remote office ...

Dudek

As-Needed Field Biologist - Riverside

Riverside, CA · On-site +1

$24 - $50/hr

Scientific Collecting Permit from California Department of Fish and Wildlife * Agency-Qualified ... Working on a computer, sitting, or standing for long periods of time in an office or remote office ...

BKF

Geospatial Technical Specialist

Riverside, CA · On-site +1

$83K - $166K/yr

This position is remote (with the ability to be in a BKF office when necessary). Essential Duties ... Bachelor's degree from an accredited college or university with a major in geospatial sciences ...

BKF

Geospatial Technical Specialist

Riverside, CA · Remote

$83K - $166K/yr

This position is remote (with the ability to be in a BKF office when necessary). Essential Duties ... Bachelor's degree from an accredited college or university with a major in geospatial sciences ...

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Showing results 21-40

All JobsComputer Science JobsRemote Computer Science JobsRemote Computer Science Jobs in Fontana, CA

Remote Computer Science information

See Fontana, CA salary details

$22.4K

$85.5K

$186.5K

How much do remote computer science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote computer science in Fontana, CA is $85,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,264.00 and $122,318.00 per year, depending on experience, location, and employer.

What are remote computer science jobs?

Remote computer science jobs include a wide variety of roles focused on the use and analysis of computers and networks, including security specialists, network administrators, and software programmers. In these roles, you may develop hardware or software, control user accounts and permissions, analyze security procedures, manage confidential information, order repairs and replacements, manage inventory levels, conduct penetration tests, or manage a full development cycle for new software. Remote computer science jobs frequently use databases, private networks, intrusion detection systems, and remote conferencing software to help coordinate jobs. This is something of a catch-all term for computer-based positions, so if you are looking for a specific role, such as a remote programmer or remote computer engineer, you may need to narrow your search terminology.

What are remote computer science jobs?

Remote computer science jobs are positions that involve the application of computer science principles—such as programming, software development, data analysis, and cybersecurity—that can be performed from any location with internet access. These roles often include software engineer, web developer, data scientist, system administrator, and more. Remote computer science professionals collaborate with teams virtually, using digital communication and project management tools. This flexibility allows employees to work from home or anywhere in the world, offering a better work-life balance and access to global job opportunities.

How do remote computer science professionals typically collaborate with their teams to ensure project success?

Remote computer science professionals usually rely on a mix of communication and project management tools—such as Slack, Zoom, GitHub, and Jira—to collaborate effectively with their teams. Regular virtual meetings, code reviews, and shared documentation help maintain alignment and transparency. While working remotely offers flexibility, it can also require proactive communication and self-management to avoid misunderstandings and stay on track with deliverables. Many teams adopt Agile methodologies to structure their work and foster collaboration, regardless of physical location.

What are the key skills and qualifications needed to thrive as a remote computer science professional?

To thrive as a Remote Computer Science professional, you need strong programming skills, problem-solving abilities, and a relevant degree or equivalent experience in computer science or software engineering. Proficiency with coding languages (such as Python, Java, or C++), version control systems like Git, and remote collaboration tools (e.g., Slack, Jira, Zoom) is essential. Excellent communication, self-motivation, and time management are vital soft skills for working independently and with distributed teams. These skills and qualities enable efficient development, seamless teamwork, and successful project delivery in a remote environment.

Can I work remotely with a computer science degree?

Yes, many computer science roles can be performed remotely, especially in software development, programming, and IT support. Remote work often requires strong technical skills, familiarity with collaboration tools, and self-discipline, and some positions may require specific certifications or experience.
More about Remote Computer Science jobs

What are the most commonly searched types of Computer Science jobs in Fontana, CA?

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Remote Computer Science jobs near you
Infographic showing various Remote Computer Science job openings in Fontana, CA as of August 2026, with employment types broken down into 71% Full Time, 15% Part Time, and 14% Contract. Highlights an 20% In-person, and 80% Remote job distribution, with an average salary of $85,451 per year, or $41.1 per hour.

Sr. Adobe Experience Platform (AEP) Engineer (100% Remote)

Prosum Inc.

Redlands, CA • On-site, Remote

Other

Re-posted yesterday

Job description

Job Description
Sr. Programmer AnalystSalary Range: $100k to $150k Overview
A leading organization is seeking a Sr. Programmer Analyst to support and optimize enterprise digital analytics and data collection initiatives. This role will focus on implementing scalable tagging solutions, managing analytics infrastructure, ensuring data integrity, and supporting cross-functional digital experience initiatives.
The ideal candidate will bring strong experience with enterprise tag management platforms, analytics ecosystems, and front-end technologies, along with expertise in governance, privacy compliance, and event-driven data architectures.
Key ResponsibilitiesTag Management & Analytics Implementation
  • Develop, implement, and maintain tagging solutions across digital platforms using enterprise tag management systems including:
    • Adobe Experience Platform (AEP) Data Collection / Adobe Launch
    • Google Tag Manager (GTM)
    • Tealium
    • Other enterprise tagging platforms
  • Configure and manage tag properties, rules, and workflows across multiple domains and environments
  • Support publishing processes and library management within AEP Data Collection
  • Design and execute scalable analytics tracking strategies and tagging standards
Data Collection & Analytics Architecture
  • Implement and maintain event-driven analytics frameworks including:
    • EDDL
    • AdobeDataLayer
  • Ensure accurate, consistent, and efficient data collection across digital properties
  • Partner with stakeholders to define tracking requirements and data layer specifications
  • Support enterprise customer journey and digital analytics initiatives
Testing, Debugging & Data Quality
  • Conduct validation, QA testing, and debugging of analytics implementations
  • Troubleshoot tagging and tracking issues to ensure data integrity and platform performance
  • Monitor analytics accuracy and tracking consistency across web environments
Cross-Functional Collaboration
  • Collaborate with:
    • Front-end engineering teams
    • UX/UI teams
    • Product managers and product owners
    • Business analysts
    • Marketing and analytics stakeholders
  • Align analytics implementation strategies with business and customer experience objectives
  • Provide support and guidance for analytics best practices and governance standards
Governance, Compliance & Documentation
  • Enforce tagging governance standards and implementation best practices
  • Ensure compliance with data privacy regulations including GDPR and CCPA
  • Create and maintain implementation documentation and tracking specifications
  • Support onboarding and training efforts related to analytics tools and processes
Required Qualifications
  • 5+ years of experience in digital analytics, tag management, or analytics implementation
  • Hands-on experience with:
    • Adobe Experience Platform (AEP) Data Collection / Adobe Launch
    • Google Tag Manager (GTM)
    • Tealium
    • Similar enterprise tag management platforms
  • Strong experience with:
    • Tag implementation
    • Testing and debugging
    • Analytics solution design and planning
  • Strong JavaScript skills related to analytics and tag deployment
  • Working knowledge of:
    • HTML
    • CSS
    • Front-end development concepts
  • Experience with data layer standards, governance, and formatting
  • Familiarity with Agile development methodologies and software development lifecycle processes
  • Strong written and verbal communication skills
  • Bachelor's degree in Computer Science, Information Systems, or related STEM field
Preferred QualificationsAdobe Analytics Ecosystem
  • Experience with:
    • Adobe Analytics
    • Adobe Experience Platform (AEP)
    • Customer Journey Analytics (CJA)
    • Customer Data Platform (CDP)
    • Adobe Web SDK implementation
Advanced Analytics & Governance
  • Understanding of Adobe Analytics concepts including:
    • eVars
    • Props
    • Success Events
    • SAINT classifications
    • Rule-based classifications
  • Experience supporting analytics governance across enterprise digital ecosystems
Technical & Automation Skills
  • Experience integrating with Adobe and third-party APIs
  • Python scripting experience for automation or analytics workflows
  • Familiarity with crawling and site analysis tools such as:
    • Screaming Frog
    • Python-based crawlers
Enterprise & Global Experience
  • Experience supporting international or multi-region analytics deployments
  • Understanding of enterprise marketing analytics and customer lifecycle measurement
  • Knowledge of privacy, compliance, and consent management considerations for analytics implementations
Additional Information
  • Opportunity to work on enterprise-scale digital analytics initiatives
  • Collaborative, cross-functional environment
  • Exposure to modern analytics platforms and customer experience technologies

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