ZipRecruiter

Log In

1

Java Developer Jobs in South Burlington, VT (NOW HIRING)

Polhemus

Be Seen First

Software Engineer

Colchester, VT · On-site

$60K - $80K/yr

As a Software Engineer within our Engineering Department, you'll join a team of experienced and professional engineers and interact with Mechanical Engineering, Electrical Engineering, our Staff ...

Epic

Software Engineer

Colchester, VT · On-site

As a software developer, you will utilize modern methodologies and technologies to innovate and enhance healthcare solutions. Responsibilities : • Write software that impacts the lives of 325 ...

Epic

Software Engineer

Burlington, VT · On-site

As a software developer, you will utilize modern methodologies and technologies to innovate and enhance healthcare solutions. Responsibilities : • Write software that impacts the lives of 325 ...

next page

Showing results 1-20

People also search for

All JobsJava Developer JobsJava Developer Jobs in South Burlington, VT

Java Developer information

See South Burlington, VT salary details

$15

$56

$77

How much do java developer jobs pay per hour?

As of May 31, 2026, the average hourly pay for java developer in South Burlington, VT is $56.91, according to ZipRecruiter salary data. Most workers in this role earn between $49.23 and $63.70 per hour, depending on experience, location, and employer.

What Do Java Developers Do?

Java developers create dynamic computer applications and websites using the Java computer programming language. The Java language integrates with other programming languages and infrastructures to build robust business applications and software for a wide range of industries, from finance and healthcare to content management and social media. Java developers may be involved in all stages of application development, from conception and design to testing, production, and ongoing maintenance. The goal is to provide efficient solutions for business needs.

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

To thrive as a Java Developer, you need strong proficiency in Java programming, object-oriented design, and a solid understanding of software development principles, usually supported by a degree in computer science or related fields. Familiarity with frameworks such as Spring or Hibernate, experience with version control systems like Git, and sometimes certification like Oracle Certified Professional Java Programmer (OCPJP) are commonly required. Effective problem-solving, teamwork, and attention to detail are crucial soft skills in this role. These skills ensure robust, maintainable, and scalable software solutions that meet project requirements and business goals.

What are some common challenges Java Developers face when working on large-scale enterprise applications?

Java Developers working on large-scale enterprise applications often encounter challenges such as managing complex codebases, ensuring efficient performance, and integrating with legacy systems. Collaborating with cross-functional teams is crucial, as these projects typically involve multiple developers, QA engineers, and business analysts. Additionally, maintaining code quality and adhering to best practices while meeting tight deadlines can be demanding. Staying up-to-date with evolving frameworks and tools also plays a key role in overcoming these challenges.

What are Java Developers?

Java Developers are software professionals who specialize in designing, developing, and maintaining applications using the Java programming language. They work on a variety of projects, including web, desktop, and mobile applications, as well as enterprise-level systems. Java Developers are responsible for writing clean and efficient code, testing and debugging programs, and collaborating with other team members to deliver robust software solutions. Their expertise in Java and related technologies is crucial for building scalable and secure applications.

Is AI replacing Java developers?

AI is automating certain coding tasks and improving software development processes, but Java developers are still essential for designing, implementing, and maintaining complex applications. Skills in programming, problem-solving, and understanding AI tools enhance a Java developer's value in the evolving tech landscape.

What is the difference between Java Developer vs Software Engineer?

AspectJava DeveloperSoftware Engineer
Required CredentialsBachelor's in Computer Science or related, Java certificationsBachelor's in Computer Science or related, various certifications
Work EnvironmentDevelops Java-based applications, often in teamsDesigns and develops software solutions, may include Java projects
Employer & Industry UsageTech companies, finance, e-commerceBroad industry, including tech, finance, healthcare

Java Developers focus specifically on Java programming, while Software Engineers have a broader role in designing and developing software solutions across multiple languages. Both roles often require similar educational backgrounds and certifications, but Java Developers typically work more directly with Java-based projects, whereas Software Engineers may handle diverse technologies.

More about Java Developer jobs
What are the most commonly searched types of Java Developer jobs in South Burlington, VT? The most popular types of Java Developer jobs in South Burlington, VT are:
What are popular job titles related to Java Developer jobs in South Burlington, VT? For Java Developer jobs in South Burlington, VT, the most frequently searched job titles are:
What cities near South Burlington, VT are hiring for Java Developer jobs? Cities near South Burlington, VT with the most Java Developer job openings:
Java Developer jobs near you
Semantic Data Engineer | Digital Operations

Semantic Data Engineer | Digital Operations

BETA Technologies

South Burlington, VT

$114.90K - $138K/yr

Other

Posted 10 days ago

Job description

We are seeking a Semantic Data Engineer to join our Data and AI Platform team, bringing deep expertise in semantic technologies, linked data, and metadata management to help design and build intelligent data platforms that unlock the full value of our organization's information assets. In this role, you will combine strong data engineering fundamentals with specialized knowledge of semantic modeling and data interoperability to create robust, scalable solutions that enable rich data discovery, automated reasoning, and seamless integration across diverse data sources. You will work collaboratively with data scientists, platform engineers, and domain experts to evaluate, architect, and implement the most appropriate semantic solutions while ensuring they integrate seamlessly with our broader data and AI infrastructure. The ideal candidate is a pragmatic technologist who can translate complex business requirements into elegant semantic data models and has hands-on experience building production-ready systems that make data more findable, accessible, and reusable across the enterprise.
 
How you will contribute to revolutionizing electric aviation:
  • Design and build scalable data platform capabilities that empower domain teams through extensible frameworks and standards, enabling them to manage their data assets within a cohesive semantic architecture spanning the enterprise
  • Implement robust data integration solutions and unified namespace patterns that create a digital thread connecting real-time and historical information across the entire product lifecycle-from design through manufacturing to field operations
  • Build optimized data storage architectures and metadata management systems including data lakes, warehouses, knowledge graphs, and enterprise catalogs that make all organizational knowledge discoverable and actionable
  • Develop semantic layers and ontologies that capture domain expertise and business logic, making implicit organizational knowledge explicit and machine-readable in formats that both humans and AI systems can leverage, while preserving traceability across the product lifecycle
  • Create unified data access services that expose the digital thread to stakeholders across the organization, breaking down silos between engineering, manufacturing, operations, and business teams
  • Implement data quality frameworks and lineage solutions that ensure accuracy across diverse data types while illuminating information flow through complex systems-essential for aerospace compliance, continuous improvement, and establishing the trusted data foundation required for advanced analytics and AI
  • Partner with cross-functional teams to strengthen the digital thread through DataOps practices and champion data governance standards that keep our diverse data assets trusted, accessible, and valuable
  • Actively contribute to a collaborative team environment through code reviews, knowledge sharing, and constructive feedback that continuously improves our data solutions and maintains high engineering standards
Minimum Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, Data Science, or related technical field (or equivalent practical experience)
  • 3+ years of professional experience in data engineering or related field
  • Hands-on experience with semantic technologies, knowledge graphs, or linked data systems
  • Experience designing and implementing ontologies, taxonomies, or semantic data models
  • Proficiency with modern data engineering tools and languages (e.g., Python, SQL)
  • Experience with graph databases (e.g., Neo4j, Amazon Neptune, Stardog) and/or triple stores
  • Strong understanding of data integration patterns and API design
  • Excellent communication skills with ability to translate technical concepts for diverse audiences
  • Experience with cloud platforms (preferably AWS)
  • Experience with DataOps practices and modern data platform architectures (cloud and hybrid)
  • Understanding of DevOps practices including CI/CD, version control (Git), and infrastructure as code
  • Ability to work collaboratively in a fast-paced environment
  • Exceptional troubleshooting skills with the ability to spot issues before they become problems
Above and Beyond Qualifications:
  • Advanced degree in Computer Science or related field
  • 5+ years of experience specifically working with semantic technologies in production environments
  • Expert-level knowledge of semantic web standards (RDF, OWL, SPARQL, SHACL)
  • Experience building and scaling knowledge graphs in enterprise settings
  • Proficiency with additional programming languages (e.g., Scala, Java) and distributed computing frameworks (Spark, Flink)
  • Hands-on experience with metadata management platforms and enterprise data catalogs
  • Track record of implementing data lineage and data quality solutions at scale
  • Experience working in regulated industries or with complex data governance frameworks
  • Familiarity with aerospace/manufacturing data standards
  • Knowledge of IoT protocols and time-series data management
  • Publications, presentations, or open-source contributions in semantic technologies
  • Familiarity with aviation regulations and standards (DO-178, DO-254, DO-330 etc.) as they relate to data systems

Apply