2

Remote Java Swing Developer Jobs in New Jersey (NOW HIRING)

Data Engineer

Jersey City, NJ ยท On-site +1

$125K - $150K/yr

Proficiency in at least one programming language (e.g., Python, Java, Scala). * Familiarity with ... Flexible work hours and remote work options. * Opportunity to work with a talented and passionate ...

Showing results 41-60

Remote Java Swing Developer information

What is a remote Java Swing developer?

Remote Java Swing Developers are software professionals who specialize in building desktop applications using the Java Swing framework, while working from a location outside of a traditional office. They design, develop, and maintain graphical user interfaces (GUIs) for Java applications, collaborating with teams and clients through online communication tools. Their work often involves troubleshooting, optimizing performance, and ensuring the application is user-friendly and responsive. As remote workers, they must be self-motivated and skilled in managing their own schedules and deliverables.

What are the key skills and qualifications needed to thrive as a remote Java Swing developer?

To thrive as a Remote Java Swing Developer, you need a solid understanding of Java programming, GUI design principles, and experience specifically with the Swing framework, often supported by a degree in computer science or related field. Familiarity with version control systems like Git, build tools such as Maven or Gradle, and integrated development environments (IDEs) like IntelliJ IDEA or Eclipse is typically required. Strong problem-solving skills, self-motivation, and effective remote communication are standout soft skills for this role. These abilities ensure the delivery of robust, user-friendly desktop applications and seamless collaboration with distributed teams.

What are some common challenges faced by remote Java Swing developers when collaborating with distributed teams?

Remote Java Swing Developers often navigate challenges such as coordinating code integration, managing time zone differences, and ensuring consistent UI/UX across platforms. Effective communication is key, as much of the collaboration happens asynchronously through project management tools, code repositories, and virtual meetings. Staying proactive with updates and participating in regular code reviews help maintain alignment with team goals and project standards.

What is the difference between Remote Java Swing Developer vs Remote JavaFX Developer?

AspectRemote Java Swing DeveloperRemote JavaFX Developer
Required SkillsJava, Swing framework, UI designJava, JavaFX framework, UI design
Work EnvironmentRemote, desktop application developmentRemote, desktop application development
Industry UsageLegacy enterprise apps, internal toolsModern desktop apps, rich UI interfaces
CertificationsJava certifications, Swing expertiseJava certifications, JavaFX expertise

Remote Java Swing Developers and Remote JavaFX Developers both focus on Java-based desktop applications. While Swing is an older UI toolkit used mainly for legacy systems, JavaFX is a newer framework for modern, visually rich applications. Both roles require Java proficiency and similar work environments, but JavaFX developers often work on more contemporary projects with advanced UI features.

What are the most commonly searched types of Java Swing Developer jobs in New Jersey?

The most popular types of Java Swing Developer jobs in New Jersey are:

What job categories do people searching Remote Java Swing Developer jobs in New Jersey look for?

The top searched job categories for Remote Java Swing Developer jobs in New Jersey are:

What cities in New Jersey are hiring for Remote Java Swing Developer jobs?

Cities in New Jersey with the most Remote Java Swing Developer job openings:

Data Engineer

Adidev Technologies Inc

Jersey City, NJ โ€ข On-site, Remote

$125K - $150K/yr

Full-time

Re-posted 5 days ago


Job description

Job Title: Data Engineer
Job Summary:

We are seeking a skilled and motivated Data Engineer to join our growing data team. In this role, you will be responsible for building and maintaining scalable data pipelines, optimizing data workflows, and supporting analytics and business intelligence initiatives. You will work closely with data scientists, analysts, and software engineers to ensure data availability, quality, and security across the organization.

Key Responsibilities:

  • Design, develop, and maintain robust and scalable data pipelines (ETL/ELT) using modern data engineering tools and frameworks.

  • Build and optimize data architecture and data models to support analytics and reporting needs.

  • Integrate data from various sources (APIs, databases, cloud storage, etc.) into a centralized data platform.

  • Implement data quality checks and ensure data integrity across all pipelines.

  • Collaborate with stakeholders to understand data requirements and deliver timely, high-quality data solutions.

  • Monitor data pipeline performance and troubleshoot data-related issues.

  • Ensure compliance with data governance and data security policies.

  • Automate manual processes and improve data workflows for efficiency and scalability.

  • Support deployment and operation of data infrastructure in cloud environments (e.g., AWS, Azure, GCP).

Required Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.

  • 2+ years of experience as a Data Engineer or in a similar role.

  • Strong proficiency in SQL and experience working with relational databases (e.g., PostgreSQL, MySQL).

  • Experience with data pipeline orchestration tools (e.g., Apache Airflow, Prefect, dbt).

  • Proficiency in at least one programming language (e.g., Python, Java, Scala).

  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and services like S3, Redshift, BigQuery, or Snowflake.

  • Understanding of data warehousing concepts and dimensional modeling.

  • Experience with version control systems like Git.

Preferred Qualifications:

  • Experience with real-time data processing frameworks (e.g., Kafka, Spark, Flink).

  • Knowledge of CI/CD and DevOps practices in a data engineering context.

  • Familiarity with data governance tools and practices (e.g., data catalogs, lineage tracking).

  • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

What We Offer:

  • Competitive salary and benefits package.

  • Flexible work hours and remote work options.

  • Opportunity to work with a talented and passionate team on cutting-edge data projects.

  • Professional development opportunities and career growth support.

Employment Type: FULL_TIME