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

Knightscope

Full Stack Engineer

Sunnyvale, CA · On-site

The ideal candidate brings full stack engineering expertise, a deep understanding of the Secure ... Develop and maintain back-end APIs, microservices, and data pipelines (Python, Node.js, or ...

Knightscope

Full Stack Engineer

Sunnyvale, CA · On-site

The ideal candidate brings full stack engineering expertise, a deep understanding of the Secure ... Develop and maintain back-end APIs, microservices, and data pipelines (Python, Node.js, or ...

Knightscope, Inc.

Full Stack Engineer

Sunnyvale, CA · On-site

$175K - $200K/yr

The ideal candidate brings full stack engineering expertise, a deep understanding of the Secure ... Develop and maintain back-end APIs, microservices, and data pipelines (Python, Node.js, or ...

Archer

Staff Software Engineer, Full Stack

San Jose, CA · On-site

$173K - $216K/yr

From raw flight test data to production-ready datasets, APIs, and applications. What You'll Do : * Develop scalable full-stack web applications that automate workflows for engineering, operations ...

Wonderschool

Full Stack Engineer

San Francisco, CA · On-site

$180K - $220K/yr

As a Senior Full Stack Engineer, you will own features end-to-end, working across frontend, backend, and data layers to deliver high-quality, scalable products. You will operate as a builder ...

Wonderschool

Full Stack Engineer

San Francisco, CA · On-site

$180K - $220K/yr

As a Senior Full Stack Engineer, you will own features end-to-end, working across frontend, backend, and data layers to deliver high-quality, scalable products. You will operate as a builder ...

4 Staffing Corp

Full Stack Developer

San Jose, CA · On-site

As a Full Stack Developer, you will be responsible for designing, developing, and maintaining web ... Implement and maintain databases and data models, ensuring data integrity and performance ...

4 Staffing Corp

Full Stack Developer

San Jose, CA · On-site

As a Full Stack Developer, you will be responsible for designing, developing, and maintaining web ... Implement and maintain databases and data models, ensuring data integrity and performance ...

Samba

Full Stack Engineer

San Francisco, CA · On-site

$160K - $200K/yr

We use consented, large-scale viewership and consumer data to help the biggest brands in the world ... We're looking for a Full Stack Engineer to join our Agentic Product Engineering team in San ...

Mintex Technology

Full Stack Engineer

San Francisco, CA · On-site

$180K - $210K/yr

Title: Full Stack Engineer Client: AI ERP Company Location: San Francisco Bay Area, CA (Hybrid - 4 Days Onsite) Job Type: Full-Time | Direct Hire | Permanent Position Overview: ***** is seeking a ...

Samba

Full Stack Engineer

San Francisco, CA · On-site

We use consented, large-scale viewership and consumer data to help the biggest brands in the world ... We're looking for a Full Stack Engineer to join our Agentic Product Engineering team in San ...

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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 Sep 5, 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 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 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, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $147,529 per year, or $70.9 per hour.

Software Engineer, Full-Stack

Eloquent AI, Inc.

San Francisco, CA • On-site

$120 - $150/hr

Other

Posted 18 days ago

Job description

Senior Software Engineer, Full-Stack

Location: Remote

Employment Type: Full time

Location Type: Remote

Your Role

As a Full-Stack Engineer at Eloquent AI, you will be at the forefront of building and scaling AI-powered applications, transforming how enterprises interact with intelligent agents. You’ll work across the entire stack, developing high-performance front-end experiences and scalable back-end systems that power real-time AI-driven workflows.

This role requires strong software engineering skills, a deep understanding of full-stack development, and the ability to work in a fast-paced, AI-first environment. You’ll collaborate with engineers, AI researchers, and product teams to build enterprise-grade solutions that enable seamless AI-human interactions.

Responsibilities
  • Design and build full-stack applications that power AI-driven workflows for enterprise users.
  • Develop high-performance front-end interfaces for AI agent control, monitoring, and visualization.
  • Build scalable backend services that support real-time AI interactions, knowledge retrieval, and automation.
  • Optimize AI-powered UIs to ensure seamless and intuitive user experiences.
  • Work closely with AI researchers and ML engineers to integrate LLMs, Retrieval-Augmented Generation (RAG), and automation into production-ready applications.
  • Ship robust, minimal-dependency code that performs efficiently in enterprise environments.
  • Continuously iterate and refine AI-driven products, balancing user needs with technical feasibility.
Requirements
  • 7+ years of hands-on experience building full-stack production applications.
  • Proficiency in modern web technologies, including React, TypeScript, and Node.js.
  • Experience with backend development using Python.
  • Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures.
  • Understanding of AI-powered applications, including LLMs, chat interfaces, and agentic workflows.
  • Ability to work in a fast-paced, high-autonomy environment, solving complex problems and delivering impact.
  • Strong collaboration skills, with experience working in cross-functional teams with engineers, designers, and AI researchers.
  • Experience building AI-powered applications with LLM integrations.
  • Experience in high-performance startups or enterprise AI environments.
  • Sharp eye for UI/UX design and experience building intuitive, AI-driven interfaces.
  • Experience with GraphQL, WebSockets, or real-time data streaming.
  • Contributions to open-source projects or experience building developer tools for AI.

Note: This description focuses on the responsibilities and qualifications for the Senior Software Engineer, Full-Stack position. For additional program information, please visit our website.

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