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Full Stack Data Engineer Jobs in Santa Clara, CA

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 ...

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 ...

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 ...

Lead Full Stack Engineer

Redwood City, CA · On-site

$172.50 - $260.10/hr

... with full-stack cloud product engineering, and who works AI-natively -- using AI-assisted SDLC ... Backend: proven experience with data-intensive, multi-threaded, service-oriented cloud products at ...

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 ...

About the Role As a Full Stack Developer , you will own end-to-end platforms powering core Bespoke ... Design and operate data layers using PostgreSQL and ElasticSearch * Integrate and work with LLM ...

They are seeking a Senior Full Stack Engineer to develop end-to-end features for their PaaS ... • Work on data-intensive workflows (jobs, compute orchestration, resource management) • ...

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 ...

Full stack engineers

Pleasanton, CA · Remote

$35 - $40/hr

Role Full stack Engineer Location Remote duration 6+months Rate $35-$40/hr Summary : 2 full stack ... Experience building data-driven features by analyzing user behavior and conducting experiments.

Full Stack Engineer (Senior+) TLDR Build a beautiful and intuitive next‑generation data tool. Tech stack: TypeScript, React, Python. Work autonomously, entrepreneurially, and with a close knit team.

They are seeking a Full-Stack Engineer to develop engaging user experiences for their web platform ... data pipelines that stream real-time fleet telemetry from thousands of robots to intuitive ...

Full Stack Web Development Engineer Joining Intuitive Surgical means joining a team dedicated to ... Desired: data analytics, HighCharts, AG-grid controls Additional Information Due to the nature of ...

Showing results 21-40

Full Stack Data Engineer information

See Santa Clara, CA salary details

$52.6K

$159.2K

$225K

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 Santa Clara, CA is $159,161.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,100.00 and $186,600.00 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 Santa Clara, CA?

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

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

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

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

Cities near Santa Clara, CA with the most Full Stack Data Engineer job openings:

Infographic showing various Full Stack Data Engineer job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $159,161 per year, or $76.5 per hour.

Full Stack Developer

4 Staffing Corp

San Jose, CA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Full Stack DeveloperSan Jose, California, United StatesAbout the Job Full Stack DeveloperWe are seeking a talented and experienced Full Stack Developer to join our team. As a Full Stack Developer, you will be responsible for designing, developing, and maintaining web applications with a focus on both front-end and back-end technologies. You will work collaboratively with cross-functional teams to deliver high-quality software solutions that meet our clients' needs. Your expertise in both front-end and back-end development will be essential in creating robust, scalable, and user-friendly web applications.

Responsibilities:

Collaborate with product owners, designers, and stakeholders to understand business requirements and translate them into technical solutions.

Design, develop, and maintain full stack web applications using modern technologies and frameworks.

Develop and consume RESTful APIs to integrate front-end and back-end functionalities.

Write clean, efficient, and reusable code for both front-end and back-end components.

Implement responsive and user-friendly front-end interfaces using HTML, CSS, and JavaScript frameworks (e.g., Angular, React, Vue.js).Design and develop back-end server-side logic and APIs using programming languages such as Python, Java, or Node.js. Implement and maintain databases and data models, ensuring data integrity and performance optimization.

Perform unit testing, debugging, and troubleshooting to ensure software quality and resolve issues.

Collaborate with the DevOps team to ensure smooth deployment and release management processes.

Stay up to date with emerging technologies and industry trends, and propose innovative solutions and best practices.

Continuously improve software development processes and contribute to the team's knowledge sharing and learning initiatives.

Requirements:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Proven experience as a Full Stack Developer or a similar role, with a strong portfolio of web development projects.

Proficiency in front-end technologies such as HTML, CSS, JavaScript, and JavaScript frameworks (e.g., Angular, React, Vue.js).Experience with back-end technologies such as Python, Java, Node.js, or PHP.Strong knowledge of database systems and proficiency in SQL.Familiarity with version control systems (e.g., Git) and collaborative development workflows.

Understanding of web development concepts, including responsive design, performance optimization, and security best practices.

Ability to create and consume RESTful APIs and integrate front-end and back-end components.

Strong problem-solving and analytical skills, with the ability to debug and resolve complex technical issues.

Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Ability to adapt to changing priorities and work on multiple projects simultaneously.

Strong attention to detail and a passion for creating high-quality software solutions.

Preferred Qualifications:

Experience with cloud platforms such as AWS, Azure, or GCP.Knowledge of serverless computing and microservices architecture.

Familiarity with containerization technologies such as Docker and container orchestration frameworks like Kubernetes.

Understanding of front-end build tools and automation processes (e.g., webpack, npm, CI/CD pipelines).Experience with testing frameworks and methodologies (e.g., unit testing, integration testing).Knowledge of UX/UI design principles and ability to collaborate with designers.

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