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Full Stack Data Engineer Jobs in California (NOW HIRING)

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 ...

Info Way Solutions

Full stack engineer

Fremont, CA · On-site

The role requires extensive experience in full-stack engineering, particularly with big data systems, and emphasizes collaboration within high-velocity teams. Responsibilities : • 4+ years of RoR ...

Sawmills.AI Inc.

Full Stack Engineer

San Francisco, CA · On-site

As a Full Stack Engineer at Sawmills.ai, you will be instrumental in building our Telemetry Data Management Platform. This role involves designing and developing both scalable backend systems that ...

Info Way Solutions

Full stack engineer

Fremont, CA · On-site

The role involves working on big data systems and delivering high-quality solutions in a collaborative team environment. Responsibilities : • 4+ years of RoR full-stack engineering experience • ...

Info Way Solutions

Full stack engineer

Fremont, CA · On-site

The role involves working with big data systems and requires strong problem-solving skills to ... Responsibilities : • 4+ years of RoR full-stack engineering experience • Experience working on ...

Clera

Full Stack Engineer

San Mateo, CA · On-site

About the Role This is a full-stack engineering role at an early-stage AI infrastructure startup ... Own complete product surfaces end-to-end: interfaces, APIs, and underlying data models. * Make ...

Bloom Energy

Stack Data Analysis Engineer

San Jose, CA · On-site

$95K - $136K/yr

Stack Data Analysis Engineer Role and Responsibilities * Monitor and analyze data from critical components for yield, performance, and capacity increase activities * Develop engineering software tool ...

David AI

Product Engineer, Full Stack

San Francisco, CA · On-site

$165K - $225K/yr

We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models ... About this role As a Full Stack Engineer at David AI, you'll build cutting-edge tools that help our ...

Bloom Energy

Stack Data Analysis Engineer

San Jose, CA · On-site

$95K - $136K/yr

Stack Data Analysis Engineer Role and Responsibilities * Monitor and analyze data from critical components for yield, performance, and capacity increase activities * Develop engineering software tool ...

Purple Unicorn

Full-Stack Engineer

San Francisco, CA · On-site

$120K - $150K/yr

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 · On-site

$120K - $150K/yr

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 · On-site

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 ...

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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 Sep 11, 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 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.

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 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.

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 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, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $133,006 per year, or $63.9 per hour.

Engineer, Full Stack

San Mateo, CA • On-site

Bedrock Data
IT Services • 11 - 50 employees
Learn more about Bedrock Dataexternal

$150K - $230K/yr

Full-time

Re-posted 23 days ago

Job description

About Bedrock Data
Data is moving faster than security can keep up, fragmented across clouds, SaaS apps, and AI systems, without the context teams need to protect it. Bedrock Data built the industry's first Metadata Lake to solve this: a living map of all your data that shows what it is, where it lives, who's using it, and how sensitive it is, without ever moving the data itself. This lets enterprises automate security and governance at scale, making data protection continuous and invisible instead of manual and disruptive. Global leaders in technology, finance, healthcare, and biotech trust Bedrock Data to make data security operational. With a $25M Series A led by Greylock, Bedrock is led by repeat founders and technologists who built industry-leading enterprise platforms at Sumo Logic, Rubrik, and Cohesity. Learn more at bedrockdata.ai.
About The Role
To round out our team, we're looking for an experienced full stack engineer to help us build our cloud security platform. We have an opportunity to re-think traditional security with an amazing customer experience, starting from the APIs we build (GraphQL / Node / Go) to the UX and UI we craft (React / Typescript). As an engineer, you'd also play an entrepreneurial role here; you'll be working closely with our leaders outside engineering, and directly with customers, partners, and investors, as we grow our business and take our product from 0 → 1 → N. Bedrock Security is the latest investment of Greylock Partners. Greylock has backed a number of successful startups, including Palo Alto Networks, Sumo Logic, and Abnormal Security, along with non-security companies such as Airbnb, Figma, and Roblox.
What You'll Do
  • Set Technical Direction:
    • Define the technical direction for our frontend.
    • Shape the architecture and design choices.
    • Maintain our technology stack which includes react, node and more.
  • API Schema Definition:
    • Create and define the API schema for backend partners to implement.
  • User Experience Advocacy:
    • Advocate for user experience and design integrity.

What You'll Bring
  • Technical Vision:
    • A vision for how frontend should be built and iterated, starting from scratch.
    • End-to-end development expertise (design, development, testing, maintenance, and performance).
  • Best Practices:
    • Informed opinions on design and code reviews.
    • 2+ years of experience in full stack engineering using React, Typescript and Node.
    • Familiarity with GraphQL API design and continuous integration/deployment (CI/CD).

Compensation
Bedrock hires across a range of experience levels for this role. The estimated annual base salary range for this position is $150,000 to $230,000 USD, depending on experience, scope, and leveling determined during the interview process. In addition to base salary, this role may be eligible for equity compensation and benefits.
Why Join Bedrock Data?
  • Impactful Work: Shape the future of data security.
  • Growth Opportunities: Be part of our journey from 0 → 1 → N.

Apply