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Remote Unix Jobs in Fremont, CA (NOW HIRING)

Senior Staff Database Engineer

Santa Clara, CA · On-site +1

$125K - $170K/yr

Strong Unix/Linux skills - file system navigation, permissions, process management, performance ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

Application Software Engineer

Palo Alto, CA · On-site +1

$155K - $185K/yr

Experience with UNIX-like operating systems and tools like Terraform, Ansible, Puppet for managing ... Remote and/or hybrid work will not be considered COMPENSATION AND BENEFITS: Pay Range: Software ...

Senior Staff Database Engineer

Santa Clara, CA · On-site +1

$165K - $289K/yr

Strong Unix/Linux skills -- file system navigation, permissions, process management, performance ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

ENGR SR SOFTWARE DEVT

San Francisco, CA · Remote

$144K - $190K/yr

Experience developing code for a Linux/Unix based operating system. * Experience developing and ... Remote Travel: May include up to 20% domestic Relocation Assistance: May be authorized Must be ...

Senior Staff Database Engineer

Santa Clara, CA · On-site +1

$165K - $289K/yr

Strong Unix/Linux skills - file system navigation, permissions, process management, performance ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

Senior Staff Database Engineer

Santa Clara, CA · On-site +1

$165K - $289K/yr

Strong Unix/Linux skills - file system navigation, permissions, process management, performance ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

Showing results 21-34

Remote Unix information

See Fremont, CA salary details

$5

$35

$52

How much do remote unix jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for remote unix in Fremont, CA is $35.13, according to ZipRecruiter salary data. Most workers in this role earn between $11.59 and $51.06 per hour, depending on experience, location, and employer.

What is a Remote Unix?

A Remote Unix job involves managing, configuring, and troubleshooting Unix-based systems from a remote location. Responsibilities typically include server administration, scripting, security updates, and performance tuning. These roles are common in IT infrastructure, cloud computing, and cybersecurity. Successful candidates usually have experience with shell scripting, networking, and Unix/Linux system administration.

What does a typical workday look like for a remote Unix?

A typical workday for a Remote Unix professional involves monitoring and maintaining Unix/Linux servers, responding to support tickets or incident alerts, and implementing system upgrades, patches, or backups. You may also be tasked with automating routine processes using scripting languages, collaborating with development or operations teams via chat and video calls, and documenting changes in configuration management tools. While much of the work is self-directed, regular communication with team members is key for troubleshooting complex issues and coordinating on larger projects. Flexibility in hours is often available, but staying organized and responsive is crucial to ensure uptime and system security.

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

To thrive as a Remote Unix professional, you need strong expertise in Unix/Linux system administration, shell scripting, troubleshooting, and familiarity with networking basics, often backed by a degree in computer science or equivalent experience. Experience with tools like SSH, cron, Ansible, Docker, and certifications such as CompTIA Linux+ or Red Hat Certified System Administrator (RHCSA) are highly valued. Excellent communication, time management, and problem-solving skills are essential for effective remote collaboration and independent work. Mastery of these skills enables efficient system management, rapid issue resolution, and seamless teamwork in distributed environments.

What are popular job titles related to Remote Unix jobs in Fremont, CA?

For Remote Unix jobs in Fremont, CA, the most frequently searched job titles are:

What job categories do people searching Remote Unix jobs in Fremont, CA look for?

The top searched job categories for Remote Unix jobs in Fremont, CA are:

What cities near Fremont, CA are hiring for Remote Unix jobs?

Cities near Fremont, CA with the most Remote Unix job openings:

Infographic showing various Remote Unix job openings in Fremont, CA as of June 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution, with an average salary of $73,069 per year, or $35.1 per hour.

Senior Data Engineer (5+ years)

Foresite Labs

San Francisco, CA • On-site, Remote

$185K - $221K/yr

Full-time

Medical, PTO

Re-posted 12 days ago


Job description

Foresite Labs is a translational R&D team that derives insights from precision measurement and population-scale biology and genetics to address unmet clinical needs. We use human genetics to systematically dissect and understand human disease biology and develop and critically evaluate therapeutic hypotheses. We engage in translational research, transforming basic insights into therapeutic opportunities. Our work supports drug discovery and company formation, and provides the core around which new ideas are realized and incubated. We offer competitive salaries, excellent benefits, a flexible work environment, and the opportunity to learn from top thinkers in various disciplines. Foresite Labs is headquartered in San Francisco and Boston. 

What You'll Do

  • Build and own production data infrastructure. Design, implement, and operate deterministic data pipelines that feed  intelligence layers; ingest clinical, financial, scientific, and commercial data from REST APIs, XML feeds, and file-based sources into clean, queryable analytical layers; own the full lifecycle: pagination, rate limiting, auth, schema drift, idempotency, retries, monitoring, and alerting.
  • Model and curate high-quality data assets. Perform entity resolution, schema design, and quality enforcement across disparate and heterogeneous data sources; ensure downstream models, agents and dashboards operate on clean and trustworthy data.
  • Support AI-native workflows. Build vector infrastructure (e.g., embeddings, indexing, retrieval) and structured data interfaces that GenAI agents and LLM orchestrators depend on; ensure AI layers have the right data in the right shape at the right time.
  • Uphold high engineering standards and collaborate broadly. Lead code and design reviews, establish testing and observability best practices, and mentor peers; partner with ML engineers, computational biologists, and company founders to translate scientific and business goals into maintainable, and scalable technical solutions.
  • Leverage agentic coding tools (Claude Code, Codex, or similar) to accelerate prototyping, refactoring, and debugging. 

What You'll Bring

  • 5+ years of professional data engineering experience designing, building, and operating production pipelines end-to-end - including schema design for analytical workloads, entity resolution across messy real-world sources, and data quality enforcement at the pipeline level.
  • Deep fluency in Python and SQL, writing performant, well-tested data transformation code (dbt or similar), with production experience in pipeline orchestration (e.g., Airflow, Prefect) covering DAG design, scheduling, dependency management, retry/backfill patterns, and alerting.
  • Hands-on cloud data stack experience across AWS or GCP (e.g., managed Postgres, object storage, query engines, serverless ETL) and working knowledge of IAM, networking, and infrastructure patterns; comfortable with Spark or Trino at scale over Parquet/Iceberg. Terraform, CDK, or Pulumi experience is a plus.
  • Exposure to vector databases (Pinecone, pgvector, Weaviate, or similar) with an understanding of how embedding-based retrieval fits into LLM-powered applications.
  • Comfortable building and navigating Unix environments, containers (Docker), and CI/CD pipelines (GitHub Actions or similar).
  • Mindset for rapid and earlystage execution: bias for action, ownership of ambiguous problem spaces, and demonstrated ability to prioritize and wear multiple hats.
  • Strong written and verbal communication skills - comfortable explaining complex ideas clearly to technical and nontechnical partners.

Nice to Have

  • Familiarity with biomedical or life sciences data (e.g., clinical trials, genomics, drug discovery, pharma commercial data).
  • Familiarity with LLM application patterns: prompting, context engineering, tool use, structured outputs, retrieval-augmented generation (RAG).
  • Experience with dashboard/BI tooling (Streamlit, Retool, Metabase, or similar).

Why Foresite Labs

  • Impact. Your code will accelerate discovery and bring novel therapeutics closer to patients and will help AI driven scientific innovation.
  • Autonomy. Small, senior teams give you room to architect and own endtoend solutions without heavy bureaucracy.
  • Learning. Work at the intersection of software, cloud infrastructure, and biology alongside experts in each domain.
  • Flexibility & Benefits. Competitive salary and equity, comprehensive healthcare, generous PTO, and hybrid/remote options aligned to our SF or Boston hubs.
  • Ready to build? Apply today and help us create the software foundation that powers the next generation of companies advancing biotech and scientific innovation.

Location: San Francisco, CA

Salary range: $185,000 - $221,400

Foresite Labs is an equal opportunity employer. We thrive on diversity and collaboration.