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Full Stack Data Analyst Jobs in California (NOW HIRING)

Factory

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Drive data quality, observability, governance, and documentation while helping teams adopt a self-serve analytics culture. Qualifications * 4+ years of experience in data engineering or a full-stack ...

Jobsbridge

Full Stack Engineer

Los Angeles, CA

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers ... analysis - Minimum of 8 years professional web application development experience - 6+ years ...

Jobsbridge

Full Stack Engineer

Los Angeles, CA

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers ... analysis - Minimum of 8 years professional web application development experience - 6+ years ...

Archer

Staff Software Engineer, Full Stack

San Jose, CA · On-site

Required : • At least 4 years of experience in full-stack software development adopting best practices • Bachelor's or Master's degree in Computer Science, Aerospace Engineering, Data Analytics ...

Bedrock Data

Engineer, Full Stack

San Mateo, CA · On-site

$150K - $230K/yr

About Bedrock Data Data is moving faster than security can keep up, fragmented across clouds, SaaS ... About The Role To round out our team, we're looking for an experienced full stack engineer to help ...

Teserac, Inc.

Full Stack Developer

Sunnyvale, CA · On-site

... operations with full situational awareness. An embedded AI teammate serves as every operator ... analyze, and act on real-time power and operational data. You will work across the entire stack ...

Teserac, Inc.

Full Stack Developer

Sunnyvale, CA · On-site

... operations with full situational awareness. An embedded AI teammate serves as every operator ... analyze, and act on real-time power and operational data. You will work across the entire stack ...

Krew Research

Full Stack Engineer

San Francisco, CA · On-site

$150K - $250K/yr

We are a talent dense team comprising of ex-Figure Robotics, Optiver, Artificial Analysis, Bain ... Ship user-facing features end-to-end (from data model to API to UI) * Improve reliability ...

Krew

Full Stack Engineer

San Francisco, CA · On-site

$150K - $250K/yr

We are a talent dense team comprising of ex-Figure Robotics, Optiver, Artificial Analysis, Bain ... Ship user-facing features end-to-end (from data model to API to UI) * Improve reliability ...

Jobsbridge

Senior Full Stack Engineer

Fremont, CA · On-site

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers ... analysis - Minimum of 8 years professional web application development experience - 6+ years ...

UpMetrics

Full Stack Software Engineer

Sacramento, CA · On-site

They are seeking a Full Stack Software Engineer to design and implement features across the full ... operators and funders to analyze, interpret, and learn from data to make informed decisions.

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Showing results 21-40

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 Jul 24, 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 July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.
Data Engineer

Data Engineer

Factory

San Francisco, CA • On-site

$134K - $162K/yr

Full-time

Posted 15 days ago

Job description

Factory is bringing autonomy to software engineering, and we're hiring a Data Engineer to own the systems that power how we understand and operate the business. You'll architect and evolve the full data stack, designing the pipelines, models, and integrations that turn raw information into reliable, real-time insight across product, engineering, finance, and GTM.
What you will do and achieve:
  • Build and refine the data models and warehouse architecture that serve as the backbone for product analytics, usage reporting, and business operations.
  • Design, operate, and scale the pipelines that move, transform, and validate data across internal and external systems.
  • Create the integrations that bring third-party and operational data into a unified, trusted environment.
  • Own the entire reporting surface at Factory, from core datasets and dashboards to the metrics leadership uses to steer the company.
  • Drive data quality, observability, governance, and documentation while helping teams adopt a self-serve analytics culture.
Qualifications
  • 4+ years of experience in data engineering or a full-stack data role with deep expertise in SQL and strong proficiency in JavaScript or Python.
  • Hands-on experience with data modeling, warehouse architecture, and BI-oriented schema design, along with operational familiarity using tools like dbt, Airflow, or Dagster.
  • Experience supporting or building business intelligence environments.
  • Strong statistical intuition and experience running or supporting experimentation frameworks.
  • The team goes into the office 5 days a week in San Francisco (walking distance to Caltrain).

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