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Full Stack Data Engineer Jobs in Fremont, CA (NOW HIRING)

Factory

Software Engineer, Data

San Francisco, CA · On-site

$134K - $162K/yr

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 ...

AllSTEM Connections

Data Engineer V

Oakland, CA · On-site

$172K/yr

Senior Full Stack Data Engineer (Foundry + React) Role Overview We are seeking a Senior Full Stack Data Engineer to lead the development of a mission-critical compliance reporting platform. This is a ...

Bedrock Data

Engineer, Full Stack

San Mateo, CA · On-site

Bedrock Data is a company focused on revolutionizing data security through their innovative Metadata Lake. They are seeking an experienced full stack engineer to help build their cloud security ...

David AI

Full Stack Engineer

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 ...

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 ...

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 ...

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Showing results 1-20

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Fremont, CA

Full Stack Data Engineer information

See Fremont, CA salary details

$48.7K

$147.5K

$208.5K

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 Fremont, CA is $147,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $173,000.00 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 Fremont, CA?

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

What job categories do people searching Full Stack Data Engineer jobs in Fremont, CA look for?

The top searched job categories for Full Stack Data Engineer jobs in Fremont, CA are:

What cities near Fremont, CA are hiring for Full Stack Data Engineer jobs?

Cities near Fremont, CA 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 Fremont, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $147,529 per year, or $70.9 per hour.

Software Engineer, Data

Factory

San Francisco, CA • On-site

$134K - $162K/yr

Full-time

Re-posted 5 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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