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Remote Engineer Jobs in Pacifica, CA (NOW HIRING)

Primary.Health

QA Engineer (Remote)

San Francisco, CA · Remote

Remote JOB SCOPE: As a Quality Engineer at Primary you will be responsible for quality assurance related activities and following the complete end-to-end testing lifecycle including testing the ...

Everglade Works

Software Engineer

San Francisco, CA · Remote

$60 - $80/hr

Remote Software Engineer (USA Only) | $60 - $80 per hour Are you a software engineer who thrives in remote environments, enjoys solving complex problems, and wants to work on cutting-edge technology?

Mettle

Laravel Engineer (Remote)

San Francisco, CA · On-site +1

As part of the Engineering team, your time will be spent collaborating with other engineers and ... Location The company has always operated as a fully remote team. As such, you should be comfortable ...

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All JobsEngineer JobsRemote Engineer JobsRemote Engineer Jobs in Pacifica, CA

Remote Engineer information

See Pacifica, CA salary details

$43.8K

$133.5K

$220.7K

How much do remote engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote engineer in Pacifica, CA is $133,512.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $174,600.00 per year, depending on experience, location, and employer.

What is a remote engineer?

A Remote Engineer is a professional who designs, develops, tests, and maintains software, systems, or infrastructure while working outside of a traditional office environment, typically from home or another remote location. Remote Engineers use digital tools and communication platforms to collaborate with their teams and manage projects. This role requires strong technical skills, self-motivation, and the ability to work independently. Many technology companies offer remote engineering positions to access a broader talent pool and provide greater flexibility for employees.

How to get a remote job as an engineer?

The primary qualifications for getting a remote job as an engineer are a bachelor's degree in a relevant field and several years of experience in a programming role. Many software engineers spend time in other roles to gain experience before applying for this job, which is a relatively senior programming role. Companies often have specific requests or requirements for software engineers, such as experience with particular types of programming, so diversifying your skills and working with a variety of different systems can help you stand out from other engineers. Fulfilling the responsibilities and duties of a remote software engineer requires communication skills and reliable access to high-speed internet.

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

To thrive as a Remote Engineer, you need strong technical expertise in software development, problem-solving abilities, and a relevant degree in computer science or engineering. Familiarity with version control systems (like Git), cloud platforms, and remote collaboration tools such as Slack and Jira is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for remote success. These competencies ensure productivity, effective teamwork, and the ability to deliver high-quality solutions from any location.

How does a remote engineer typically collaborate with team members across different time zones?

Remote Engineers often work with colleagues who are spread across various locations and time zones, which requires strong communication and coordination skills. Collaboration is usually facilitated through tools like Slack, Zoom, or Microsoft Teams, with scheduled meetings arranged to accommodate as many team members as possible. It's common to use shared project management platforms and clear documentation to keep everyone aligned. Flexibility and proactive communication are key to ensuring seamless teamwork and project progress, even when direct overlap in working hours is limited.

What is the difference between Remote Engineer vs Remote Developer?

AspectRemote EngineerRemote Developer
Required CredentialsBachelor's in Engineering, certifications like Cisco, CompTIABachelor's in Computer Science or related, coding certifications
Work EnvironmentDesign, troubleshoot, and maintain systems, often in technical or engineering teamsWrite, test, and deploy software applications, often in development teams
Employer & Industry UsageEngineering firms, tech companies, manufacturingTech companies, startups, software firms
Common Search & Comparison IntentUnderstanding engineering roles in remote settingsComparing software development roles remotely

Remote Engineers focus on designing, maintaining, and troubleshooting technical systems, often requiring engineering-specific credentials. Remote Developers primarily write and develop software applications, with a focus on coding skills. While both roles can be remote and tech-oriented, their core responsibilities and required qualifications differ, catering to different industry needs.

More about Remote Engineer jobs

What are the most commonly searched types of Engineer jobs in Pacifica, CA?

The most popular types of Engineer jobs in Pacifica, CA are:

What cities near Pacifica, CA are hiring for Remote Engineer jobs?

Cities near Pacifica, CA with the most Remote Engineer job openings:

Remote Engineer jobs near you
Infographic showing various Remote Engineer job openings in Pacifica, CA as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $133,512 per year, or $64.2 per hour.

Machine Learning Engineer (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$55 - $73/hr

Full-time

Re-posted 19 days ago

Job description

Our client is a leader in healthcare innovation, seamlessly integrating pharmaceutical development, diagnostic solutions, and advanced technology and data capabilities.
Title: Machine Learning Engineer (Contract)
Pay rate: $55-73/hr+ (Depends on experience)
Location: Remote in the US or Canada, or onsite in SSF. Must be available during PST hours.
Duration: Through Dec. 2026 (Likely to get extended)
Overview:
Seeking a Machine Learning Bioinformatics Engineer to develop and deploy advanced ML solutions supporting pharmaceutical R&D. This role focuses on analyzing large-scale, multimodal clinicogenomic datasets (genomic, transcriptomic, clinical, and real-world data) to drive insights into disease biology, patient stratification, and treatment response. Ideal candidates are strong in both machine learning and bioinformatics, with a passion for translating complex data into impactful discoveries.
Key Responsibilities:
  • Build and deploy scalable, production-ready machine learning models
  • Process and analyze genomic and transcriptomic data using bioinformatics pipelines
  • Prepare high-quality, normalized biological datasets for downstream analysis
  • Train large-scale models using frameworks like PyTorch Lightning and Hugging Face
  • Develop cloud-based ML solutions (AWS/GCP) with a focus on scalability and reproducibility
  • Collaborate with cross-functional teams to uncover biomarkers and therapeutic targets
  • Provide technical input and guidance on ML system design and implementation

Qualifications:
  • PhD with 0-2 years of relevant work experience, or MS with 3-5 years of relevant work experience, or BS with 4-7 years of relevant work experience.
  • Proficient programming skills: Strong Python programming skills with extensive experience in ML and data libraries (e.g., NumPy, pandas, PyTorch).
  • Deep ML expertise: Excellent knowledge of modern machine learning methods and development best practices, including training strategies, model validation, performance visualization, and experimental design.
  • Deep bioinformatic expertise: Proficient knowledge of bioinformatic processing pipelines for genomic and transcriptomic variables.
  • Strong knowledge of computational oncology, cancer genomics and analysis of clinicogenomics datasets.
  • Must be authorized to work in the United States

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