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Full Stack Data Engineer Jobs in California (NOW HIRING)

IQUASAR LLC

Full Stack Engineer

San Diego, CA · On-site

Maintain and enhance existing full-stack applications (backend, frontend, DevOps and data layers) that combine AI, data analytics, and spatiotemporal big data. * Collaborate with iQuasar software ...

iQuasar LLC

Full Stack Engineer

San Diego, CA · On-site

Maintain and enhance existing full-stack applications (backend, frontend, DevOps and data layers) that combine AI, data analytics, and spatiotemporal big data. * Collaborate with iQuasar software ...

Weekday AI

Full Stack Engineer

San Francisco, CA

$180K - $250K/yr

... Full Stack Engineer with a strong background in AI-driven application development , Python ... Collaborate with data scientists to integrate machine learning models into production systems ...

Weekday AI

Full Stack Engineer

San Francisco, CA · On-site

$180K - $250K/yr

... Full Stack Engineer with a strong background in AI-driven application development , Python ... Collaborate with data scientists to integrate machine learning models into production systems ...

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 ...

Nexusflow.ai, Inc.

Full-Stack Engineer

Palo Alto, CA · On-site

Full-Stack Engineer Nexusflow is currently adding Full-Stack Engineers to our team. Our full-stack ... AWS). * Passion for application & platform systems involving ML models, data pipeline and ...

David AI

Staff Full Stack Engineer

San Francisco, CA · On-site

$195K - $315K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models ... About this role As a Staff Full Stack Engineer at David AI, you'll lead our engineering team in ...

Purple Unicorn

Full-Stack Engineer

San Francisco, CA · On-site

$120K - $150K/yr

  • Medical

  • Retirement

  • PTO

Purple Unicorn, on behalf of SalesPatriot , is hiring an Full Stack Engineer . Non-negotiable: ALL ... Proficiency in writing, optimizing, and troubleshooting complex SQL queries for data extraction ...

Purple Unicorn

Full-Stack Engineer

San Francisco, CA

$120K - $150K/yr

  • Medical

  • Retirement

  • PTO

Purple Unicorn, on behalf of SalesPatriot , is hiring an Full Stack Engineer . Non-negotiable: ALL ... Proficiency in writing, optimizing, and troubleshooting complex SQL queries for data extraction ...

Jobsbridge

Full Stack Engineer

Los Angeles, CA

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. - Bachelor's degree in Computer Science or Engineering or equivalent ...

Jobsbridge

Full Stack Engineer

Los Angeles, CA

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. - Bachelor's degree in Computer Science or Engineering or equivalent ...

Machina Labs

Full Stack Engineer

Chatsworth, CA · On-site

They are seeking a Full Stack Engineer to develop systems for their robotic sheet metal forming ... data streams. Qualifications : Required : • Bachelor's degree in Computer Science, Software ...

Machina Labs

Full Stack Engineer

Chatsworth, CA · On-site

They are seeking a Full Stack Engineer to develop systems for their robotic sheet metal forming ... data streams. Qualifications : Required : • Bachelor's degree in Computer Science, Software ...

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Showing results 21-40

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in California

Full Stack Data Engineer information

See California salary details

$43.9K

$133K

$188K

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

As of Aug 13, 2026, the average yearly pay for full stack data engineer in California is $133,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $155,900.00 per year, depending on experience, location, and employer.

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

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

How does a full stack data engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What is a full stack data engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.

What are popular job titles related to Full Stack Data Engineer jobs in California?

For Full Stack Data Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Full Stack Data Engineer jobs in California look for?

The top searched job categories for Full Stack Data Engineer jobs in California are:

What cities in California are hiring for Full Stack Data Engineer jobs?

Cities in California with the most Full Stack Data Engineer job openings:

Full Stack Data Engineer jobs near you
Infographic showing various Full Stack Data Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $133,006 per year, or $63.9 per hour.

Full Stack Engineer

IQUASAR LLC

San Diego, CA • On-site

Full-time

Posted 23 days ago

Job description

Hey There
I hope you are doing well
My name is Zain and I represent iQuasar Software Solutions.
One of our clients in San Diego, CA, needs a Full Stack software engineer for a full-time position.
Position: Full Stack software engineer
Location: San Diego, CA
Clearance Level: Secret  
JOB DESCRIPTION:
We are looking for a Full Stack software engineer who can join our team and make an immediate impact through their creativity, enthusiasm and technical abilities. Our Full Stack Developer will have knowledge of machine learning algorithms and DevOps tools for its diverse projects in marine transportation, cybersecurity and climate/environmental informatics.
RESPONSIBILITIES:
  • Maintain and enhance existing full-stack applications (backend, frontend, DevOps and data layers) that combine AI, data analytics, and spatiotemporal big data.
  • Collaborate with iQuasar software engineers in architecting and deploying new full-stack applications that combine AI and big data analytics.
  • Maintain and develop applications using web-frameworks such as Django and React.
  • Help develop and enhance Continuous Integration (CI)/Continuous Development (CD) pipelines for current and future application development projects.
  • Manage existing cloud-based applications and develop new applications on cloud platforms such as AWS and DigitalOcean.
  • Maintain and develop complex data-driven APIs using tools such as GraphQL & Swagger.
  • Coding of full-stack applications for iQuasar government and industry-based contracts and towards iQuasar commercialization efforts.
REQUIREMENTS:
  • 2+ year of experience in programming in a high-level programming language such as Python.
  • 2-4 years of experience in Python-based web-frameworks such as Django or Flask
  • Experience with the following front-end tools: React, JavaScript, Typescript, CSS, bootstrap, Tailwind, and Django
  • Experience in Database technologies such as PostgreSQL, MySQL and NoSQL data stores such as Redis, or MongoDB.
  • Knowledge or minimal experience in containerization tools such as Docker and Kubernetes.
  • Basic knowledge of automation tools and CI/CD
  • Additional knowledge in AI and machine learning/deep learning technologies such as TensorFlow, PyTorch and Keras will be an added bonus.
DESIRED:
  • Bachelor’s degree in Computer Science/Engineering/Data Science or other STEM related discipline.                               
  • Strong knowledge of Linux or Unix-like OS.
  • Excellent coding skills in Python, Django and familiarity with libraries such as pandas and NumPy.
  • Experience in handling git repositories
Please let me know if you have any questions
Best Regards
Zain Wani
Sr. Recruitment Professional
iQuasar, LLC
Cleared Recruitment | Proposal Development | Technology
zain.wani@iQuasar.com
Direct: (703) 349-5832
Main:   (703) 962-6001 Ext. 634
www.iQuasar.com

Flexible work from home options available.