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React Full Backend Frontend Python Node Java Jobs in San Diego, CA

Experiencia con al menos un framework de front-end como React, Angular o Vue.js ... Sólido conocimiento de tecnologías de back-end como Node.js, Python, Ruby, Java o .NET.

Experiencia con al menos un framework de front-end como React, Angular o Vue.js ... Sólido conocimiento de tecnologías de back-end como Node.js, Python, Ruby, Java o .NET.

Full Stack Java Developer

San Diego, CA

$55.75 - $72/hr

... Python Experience developing web applications (Spring MVC, RESTful, JAX-WS, Web Services ... Experience with front-end technologies such as Javascript, HTML5, CSS, jQuery, AngularJS, Web ...

Full Stack Java Developer

San Diego, CA

$55.75 - $72/hr

... Python Experience developing web applications (Spring MVC, RESTful, JAX-WS, Web Services ... Experience with front-end technologies such as Javascript, HTML5, CSS, jQuery, AngularJS, Web ...

Expérience avec au moins un framework front-end tel que React, Angular ou Vue.js ... Solide connaissance des technologies back-end telles que Node.js, Python, Ruby, Java ou .NET.

Expérience avec au moins un framework front-end tel que React, Angular ou Vue.js ... Solide connaissance des technologies back-end telles que Node.js, Python, Ruby, Java ou .NET.

Full Stack Java Developer

San Diego, CA

$55.75 - $72/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers ... Middle and Backend databases. Well versed with front end technologies: HTML 5, JavaScript, CSS3 ...

Java Backend Software Engineer

San Diego, CA

$53.50 - $69.50/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. RESPONSIBILITIES Participate in development of backend Design,implement, and ...

... or full-stack experience in modern web applications * Deep fluency with React, component ... AI / LLM with React user interfaces * Bonus: Experience with Python/FastAPI for backend ...

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React Full Backend Frontend Python Node Java information

See San Diego, CA salary details

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How much do react full backend frontend python node java jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for react full backend frontend python node java in San Diego, CA is $61.30, according to ZipRecruiter salary data. Most workers in this role earn between $50.29 and $72.50 per hour, depending on experience, location, and employer.

How do React Full Backend Frontend Python Node Java developers typically collaborate within cross-functional teams?

Developers proficient in React, Python, Node.js, and Java often work within agile, cross-functional teams that include designers, testers, and product managers. They regularly participate in code reviews, sprint planning, and daily stand-ups to align on project goals and ensure smooth communication. Collaboration is key, as they must integrate frontend components with backend services, troubleshoot issues collectively, and adapt to evolving project requirements. Being open to feedback and proactively sharing knowledge are common expectations, making teamwork a central part of the role.

What does a React Full Backend Frontend Python Node Java developer do?

A React Full Backend Frontend Python Node Java developer is a versatile software engineer skilled in both front-end and back-end technologies. They use React for building interactive user interfaces, Python and Java for server-side logic, and Node.js for back-end runtime environments. These developers handle the complete software development lifecycle, including designing, coding, testing, and deploying applications. Their broad skill set allows them to work on various layers of a web application, ensuring seamless integration between the client and server sides. This role is essential for companies looking for end-to-end solutions from a single developer or team.

What is the difference between React Full Backend Frontend Python Node Java vs React Frontend Developer?

AspectReact Full Backend Frontend Python Node JavaReact Frontend Developer
Required SkillsReact, backend languages (Python, Node, Java), database knowledgeReact, HTML, CSS, JavaScript
Work EnvironmentFull-stack development, both frontend and backend tasksPrimarily frontend UI/UX development
CertificationsOften no formal certification, but full-stack courses helpReact certifications or JavaScript courses
Industry UsageUsed in full-stack roles across tech companies, startupsUsed mainly in frontend-focused roles in web development

React Full Backend Frontend Python Node Java roles involve both frontend and backend development, requiring knowledge of multiple programming languages and database management. React Frontend Developers focus mainly on creating user interfaces with React and related technologies. The full-stack role offers broader responsibilities, while frontend roles specialize in UI/UX design and implementation.

What are the key skills and qualifications needed to thrive as a Full Stack Developer (React, Python, Node, Java), and why are they important?

To thrive as a Full Stack Developer, you need strong proficiency in front-end frameworks like React and backend languages such as Python, Node.js, and Java, often backed by a degree in computer science or related field. Familiarity with version control systems (like Git), databases (SQL/NoSQL), RESTful APIs, and deployment tools is typically required. Problem-solving, effective communication, and adaptability are vital soft skills for excelling in cross-functional development teams. These competencies enable developers to build robust, scalable applications and collaborate efficiently throughout the software development lifecycle.
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What cities near San Diego, CA are hiring for React Full Backend Frontend Python Node Java jobs? Cities near San Diego, CA with the most React Full Backend Frontend Python Node Java job openings:
Backend Java Developer with Graph Database Knowledge

Backend Java Developer with Graph Database Knowledge

talentmovers inc

San Diego, CA • On-site

$53.50 - $69.50/hr

Contractor

Posted 13 days ago


Job description

Job Title: Backend Java Developer with Graph Database Knowledge

Location: San Diego, CA

Pay Rate : On C2C

Job Summary:

We are looking for a talented Backend Java Developer with hands-on experience in graph databases to join our growing engineering team. You will be responsible for developing scalable and efficient backend services using Java, and designing and integrating complex data models with graph database systems such as Neo4j or Amazon Neptune.

Key Responsibilities:

  • Design, develop, and maintain backend services and APIs using Java (Spring Boot or similar frameworks)
  • Build and optimize graph-based data models and queries using technologies like Neo4j, Cypher, or Gremlin
  • Integrate graph databases with microservices to deliver advanced querying capabilities and relationship-based analytics
  • Collaborate with front-end developers, data engineers, and product managers to deliver end-to-end solutions
  • Ensure code quality through testing, code reviews, and adherence to software development best practices
  • Monitor and troubleshoot system performance, especially around data modeling and query execution in graph systems
  • Design and implement secure and efficient data access and storage strategies

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
  • 3+ years of backend development experience in Java (Spring Boot, Hibernate, etc.)
  • Hands-on experience with graph databases such as Neo4j, Amazon Neptune, ArangoDB, or OrientDB
  • Strong understanding of graph theory and data modeling techniques for graphs
  • Proficiency in graph query languages such as Cypher or Gremlin
  • Familiarity with RESTful APIs, JSON, and HTTP protocols
  • Experience with relational and NoSQL databases
  • Knowledge of version control tools (e.g., Git) and CI/CD workflows

Preferred Qualifications:

  • Experience designing recommendation systems, fraud detection, or knowledge graphs
  • Understanding of GraphQL and its integration with graph databases
  • Familiarity with containerization (Docker) and orchestration tools (Kubernetes)
  • Exposure to cloud platforms like AWS, GCP, or Azure (especially services like Amazon Neptune)
  • Performance tuning of large-scale graph databases