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Full Stack Data Analyst Jobs in California (NOW HIRING)

Arc Institute

Full Stack Engineer

Palo Alto, CA · On-site

... analytics • Build and maintain Arc's internal Genomics platforms, including NGS submission ... internal Data Catalog for browsing, searching, and interacting with rich datasets across the ...

Arc Institute

Full Stack Engineer

Palo Alto, CA · On-site

... analytics • Build and maintain Arc's internal Genomics platforms, including NGS submission ... internal Data Catalog for browsing, searching, and interacting with rich datasets across the ...

Arc Institute

Full Stack Engineer

Palo Alto, CA · On-site

... analytics • Build and maintain Arc's internal Genomics platforms, including NGS submission ... internal Data Catalog for browsing, searching, and interacting with rich datasets across the ...

Archer

Staff Software Engineer, Full Stack

San Jose, CA

$173K - $216K/yr

We are looking for a versatile Staff Full Stack Software Engineer to own the design, development ... Bachelor's or Master's degree in Computer Science, Aerospace Engineering, Data Analytics, or a ...

Wonderschool

Full Stack Engineer

San Francisco, CA · On-site

$180K - $220K/yr

Contribute to product decisions through technical insight and tradeoff analysis * Work closely with ... Design systems and data models that support complex workflows and integrations * Improve ...

Earnin

Senior Full Stack Engineer

Mountain View, CA · Hybrid

$210K - $257K/yr

... and tradeoff analysis. * Mentor and guide engineers across frontend and backend disciplines ... Proficiency in backend development using Python and Django, including RESTful API design, data ...

Wonderschool

Full Stack Engineer

San Francisco, CA · On-site

$180K - $220K/yr

Contribute to product decisions through technical insight and tradeoff analysis * Work closely with ... Design systems and data models that support complex workflows and integrations * Improve ...

Jobsbridge

Full Stack Java Developer

San Diego, CA · On-site

$55.75 - $72/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers ... and analytical skills. Qualifications Skill : Spring MVC, JPA, REST, Jackson, SOA, JPA, Linux or ...

Machina Labs

Full Stack Engineer

Los Angeles, CA · On-site

Background in building real-time data visualization or monitoring dashboards. * Interest in the ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

Jobsbridge

Full Stack Java Developer

San Diego, CA · On-site

$55.75 - $72/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers ... and analytical skills. Qualifications Skill: Spring MVC, JPA, REST, Jackson, SOA, JPA, Linux or ...

Archer

Staff Software Engineer, Full Stack

San Jose, CA · On-site

$173K - $216K/yr

We are looking for a versatile Staff Full Stack Software Engineer to own the design, development ... Bachelor's or Master's degree in Computer Science, Aerospace Engineering, Data Analytics, or a ...

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Showing results 1-20

All JobsFull Stack Data Analyst JobsFull Stack Data Analyst Jobs in California

Full Stack Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do full stack data analyst jobs pay per year?

As of Jun 10, 2026, the average yearly pay for full stack data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is the difference between Full Stack Data Analyst vs Data Scientist?

AspectFull Stack Data AnalystData Scientist
Required SkillsData analysis, visualization, basic programming, SQL, reportingAdvanced programming, statistical modeling, machine learning, data engineering
Work EnvironmentBusiness teams, analytics departments, reporting toolsResearch teams, data science departments, AI/ML projects
CertificationsData analysis, SQL, Excel certificationsData science, machine learning, Python/R certifications
Industry UsageBusiness intelligence, marketing, financeResearch, AI development, predictive modeling

While both roles involve working with data, Full Stack Data Analysts focus on end-to-end data analysis and reporting within business contexts, whereas Data Scientists develop advanced models and algorithms for predictive insights. The roles often overlap in skills like SQL and programming, but Data Scientists typically require deeper expertise in statistical methods and machine learning.

What are popular job titles related to Full Stack Data Analyst jobs in California? For Full Stack Data Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Analyst jobs in California look for? The top searched job categories for Full Stack Data Analyst jobs in California are:
What cities in California are hiring for Full Stack Data Analyst jobs? Cities in California with the most Full Stack Data Analyst job openings:
Full Stack Data Analyst jobs near you
Infographic showing various Full Stack Data Analyst job openings in California as of June 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 70% In-person, 20% Hybrid, and 10% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Full Stack Engineer

Arc Institute

Palo Alto, CA • On-site

Full-time

Posted 5 days ago

Job description

Job Summary:
Arc Institute is an independent nonprofit research organization focused on artificial intelligence and biology. They are seeking a Full Stack Engineer to develop software infrastructure that supports scientific research, working closely with biologists and bioinformaticians to create essential tools for their workflows.
Responsibilities:
• Own and evolve the Virtual Cell Challenge backend, including authentication, metrics pipelines, and participant analytics
• Build and maintain Arc's internal Genomics platforms, including NGS submission, sample tracking, and QC automation
• Architect and develop an internal Data Catalog for browsing, searching, and interacting with rich datasets across the Virtual Cell Atlas and other research programs
• Build tooling and infrastructure to support Arc's ML engineering workflows such as model registries, experiment tracking, and inference pipelines
• Own backend services for Arc's Imaging platform, supporting microscopy and spatial data workflows
• Collaborate directly with scientists and computational researchers to identify pain points and ship solutions with a product mindset
Qualifications:
Required:
• 4+ years of experience in backend or full-stack engineering roles, with a Bachelor's degree in Computer Science, Biology, Bioinformatics, or a related field
• Proficiency in Python or Node.js and modern API frameworks such as FastAPI, Flask, or Express
• Strong experience with relational databases (PostgreSQL preferred), including schema design, query optimization, and data modeling
• Proficiency with AI-assisted development tools (Claude, Cursor, Copilot, or similar) as a core part of your workflow
• Experience building internal apps and tools for scientific/technical users
Preferred:
• Experience with scientific data formats and tools (e.g., h5ad/AnnData, pandas, NumPy, scverse ecosystem)
• Familiarity with cloud infrastructure (GCP, AWS, or Azure)
• Experience with CI/CD pipelines, Docker, and containerized deployments
• Familiarity with modern JavaScript/TypeScript and frameworks such as Next.js and React
Company:
Arc Institute is a biomedical science and research technology company. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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