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64 Saransh Full Stack Java Developer Jobs Hiring Near You

Saransh Inc

Mainframe Developer - Onsite

Columbus, OH · On-site

$47.25 - $60.75/hr

Job Title: Mainframe Developer Work Location: Columbus, OH Duration: Longterm * 8 to 10 Yrs of ... The tech stack used is Java FSD, Python, Mainframe technologies(COBOL, JCL, DB2, IMS,MQ) and ...

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

To thrive as a Full Stack Java Developer, you need strong proficiency in Java, front-end frameworks (such as Angular or React), back-end technologies, and a solid understanding of databases, often supported by a degree in computer science or a related field. Familiarity with version control systems like Git, build tools such as Maven or Gradle, and knowledge of Spring Boot or similar frameworks are typically required, along with relevant certifications. Effective communication, problem-solving abilities, and adaptability are standout soft skills in this role. These skills and qualities are essential to deliver robust, user-friendly applications and to collaborate efficiently across the software development lifecycle.

What are the typical challenges Full Stack Java Developers face when working on cross-functional teams?

Full Stack Java Developers often collaborate with front-end designers, back-end engineers, and QA specialists, which can lead to challenges in aligning technical requirements, timelines, and coding standards. Navigating different priorities and communication styles is common, especially when integrating new features or resolving bugs that span both client and server sides. Success in this environment requires flexibility, proactive communication, and a willingness to quickly adapt to shifting project needs or technologies.

What is a Full Stack Java Developer?

A Full Stack Java Developer is a software professional skilled in both front-end and back-end development using Java technologies. They are proficient in building complete web applications, handling everything from designing user interfaces and user experiences to managing databases and server-side logic. Typically, they work with frameworks like Spring Boot for the backend and technologies like HTML, CSS, and JavaScript for the frontend, ensuring seamless integration between the two. Full Stack Java Developers are valued for their versatility and ability to manage all aspects of the software development process.

What is the difference between Full Stack Java Developer vs Backend Java Developer?

AspectFull Stack Java DeveloperBackend Java Developer
Required SkillsJava, front-end (HTML, CSS, JavaScript), frameworks like Angular/React, databasesJava, server-side frameworks (Spring, Hibernate), databases, APIs
Work EnvironmentDevelops both client and server-side applications, often in agile teamsFocuses on server-side logic, APIs, and database integration
CertificationsJava certifications, full stack development coursesJava certifications, backend-specific courses
Industry UsageStartups, tech companies, full stack rolesEnterprise applications, backend services, API development

Full Stack Java Developers work on both front-end and back-end components, requiring a broader skill set. Backend Java Developers focus solely on server-side logic and database integration. The choice depends on your interest in full application development versus specialized backend work.

What other companies are hiring for Full Stack Java Developer jobs?
What are the most popular jobs at Saransh?
What are the most popular categories at Saransh?
Infographic showing various Full Stack Java Developer job openings at Saransh in the United States as of May 2026, with employment types broken down into 6% Full Time, and 94% Contract. Highlights an 96% Physical, and 4% Remote job distribution.

Senior Java Developer - Spark - Onsite

Saransh Inc

Columbus, OH • On-site

$55.25 - $70.50/hr

Contractor

Posted 15 hours ago

Job description

Job Title: Senior Java Developer

Work Location: Columbus, OH

Duration: Long Term 

Job Description

  • Contribute to building brand new data platforms in AWS, using Java and Spark. Be part of a dynamic team, building data solutions in a supportive and hybrid work environment. You will design and implement micro services and data pipelines using Java, Sprint Boot, Kafka, Spark and AWS services. Success in this role requires technical expertise, strong problem-solving skills, and the ability to collaborate effectively within an agile team.

Must Have Tech Skills:

  • Demonstrable experience as a senior data engineer.
  • Expert in Java and Spark, with a deep focus on data transformations, processing and data engineering practices.
  • Expert in micro service implementation using Java, Sprint Boot, Kafka and Kubernetes.
  • Good knowledge on AWS services like EKS, S3, SQS, Lambda, SNS, MSK.
  • Experience in implementing tests using Junit, Mockito, Cucumber and Karate.
  • Good knowledge in performance tuning Spark jobs and micro services.

Nice To Have Tech Skills:

  • Experience in solution architecture and technical design, allowing for the creation of scalable, reliable data architectures that meet both technical and business requirements
  • A master’s degree or equivalent experience or relevant certifications (e.g., AWS Certified Solutions Architect, Certified Data Analytics) is advantageous

Key Accountabilities:

  • Provides guidance on standard methodologies in design, development, and implementation, ensuring solutions meet business requirements and technical standards.
  • Drive the migration of existing data processing workflows to the Lakehouse architecture, using Iceberg capabilities.
  • Communicates complex technical information clearly, tailoring messages to the appropriate audience to ensure alignment.
  • Good ability in debugging, problem solving and performance tuning of micro services and high volume spark applications.

Key Skills:

  • Deep technical knowledge of data engineering solutions and practices. Implementation of data pipelines using Kafka, Spark and AWS services.
  • Highly proficient in Java, Spark and familiar with a variety of development technologies. This knowledge enables the Senior Data Engineer to adapt solutions to project-specific needs.
  • Proficient in creating clear, comprehensive documentation. Ensures that documentation supports technical teams' knowledge and compliance, making it accessible and valuable for future reference
  • Proficient in quality assurance practices, including code reviews, automated testing, and standard methodologies for data validation.
  • Experience in using automation tools and Continuous Integration/Continuous Deployment (CI/CD) pipelines to streamline development, testing, and deployment.