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Remote Java Engineer Jobs in New Jersey (NOW HIRING)

Abaxis

Data Engineer

Parsippany, NJ · Remote

$105K - $151K/yr

Strong proficiency in SQL and at least one programming language (Python, Scala, Java). * Experience ... Position is Parsippany, NJ preferred; remote considered The US base salary range for this full-time ...

- Zoetis Belgium S.A.

Data Engineer

Parsippany, NJ · Remote

$105K - $151K/yr

Strong proficiency in SQL and at least one programming language (Python, Scala, Java). * Experience ... Position is Parsippany, NJ preferred; remote considered The US base salary range for this full-time ...

Wells Fargo

Lead Data Engineer

Iselin, NJ · On-site +1

$116K - $139K/yr

... Java, plus Spark SQL for building data pipelines, libraries, and automation tooling. * 5+ years ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Wells Fargo

Lead Data Engineer

Iselin, NJ · On-site +1

$116K - $139K/yr

... Java, plus Spark SQL for building data pipelines, libraries, and automation tooling. * 5+ years ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Wells Fargo

Lead Data Engineer

Iselin, NJ · On-site +1

$116K - $139K/yr

... Java, plus Spark SQL for building data pipelines, libraries, and automation tooling. * 5+ years ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

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Remote Java Engineer information

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How much do remote java engineer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote java engineer in New Jersey is $61.34, according to ZipRecruiter salary data. Most workers in this role earn between $50.53 and $69.33 per hour, depending on experience, location, and employer.

What is a Remote Java Engineer?

A Remote Java Engineer is a software developer who specializes in building applications using the Java programming language while working from a location outside of a traditional office, such as their home or another remote setting. These engineers are responsible for designing, developing, testing, and maintaining Java-based software solutions. They collaborate with teams using online tools, participate in code reviews, and often follow Agile development practices. Remote Java Engineers need strong communication skills, self-motivation, and expertise in Java frameworks and related technologies.

How does a Remote Java Engineer typically collaborate with team members across different time zones?

As a Remote Java Engineer, you'll frequently work with colleagues located in various regions, which requires a high level of communication and organization. Teams often rely on tools like Slack, Jira, and GitHub for asynchronous updates, while scheduling regular video meetings to discuss project goals, resolve issues, and share progress. Flexibility in your work hours and proactive communication are key to ensuring smooth collaboration and timely project delivery. Many companies also encourage documenting code thoroughly and maintaining clear records of decisions so all team members stay aligned, regardless of location.

What is the difference between Remote Java Engineer vs Remote Software Developer?

AspectRemote Java EngineerRemote Software Developer
Required CredentialsBachelor's in Computer Science, Java certifications (e.g., Oracle Certified Java Programmer)Bachelor's in Computer Science or related field, general programming certifications
Work EnvironmentCollaborates with development teams, uses Java-based tools and frameworksWorks on various programming languages and projects, may include Java
Employer & Industry UsageTech companies, financial services, enterprise softwareStartups, tech firms, diverse industries
Common Search & ComparisonOften compared for Java-specific roles, Java expertise focusBroader programming roles, general software development

Remote Java Engineers specialize in Java development, often requiring Java-specific certifications and working within Java-centric environments. Remote Software Developers have a broader scope, working with multiple languages and technologies. The choice depends on whether you want to focus specifically on Java or a wider range of software development tasks.

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

To thrive as a Remote Java Engineer, you need strong proficiency in Java programming, software development methodologies, and a relevant degree or equivalent experience. Familiarity with tools like Git, Maven, Jenkins, and cloud platforms, as well as certifications such as Oracle Certified Java Programmer, are highly valuable. Exceptional problem-solving abilities, self-motivation, and effective remote communication skills help you excel in distributed teams. These competencies ensure you can build robust applications efficiently while collaborating seamlessly from a remote environment.
What are the most commonly searched types of Java Engineer jobs in New Jersey? The most popular types of Java Engineer jobs in New Jersey are:
What are popular job titles related to Remote Java Engineer jobs in New Jersey? For Remote Java Engineer jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Remote Java Engineer jobs in New Jersey look for? The top searched job categories for Remote Java Engineer jobs in New Jersey are:
What cities in New Jersey are hiring for Remote Java Engineer jobs? Cities in New Jersey with the most Remote Java Engineer job openings:
Remote Java Engineer jobs near you
AI Solutions Architect - Remote

AI Solutions Architect - Remote

NAVA Software Solutions

Jersey City, NJ • On-site, Remote

$69 - $90.75/hr

Full-time

Re-posted 10 days ago

Job description

NAVA Software solutions is looking for a AI Solutions Architect
Details:
AI Solution Architect - Insurance Domain (Azure & AWS)
Location: Remote
Duration: 12 months
Role Overview
As an AI Solution Architect specializing in Azure and AWS, you will lead the design, development, and production deployment of large-scale AI/ML solutions tailored for the insurance industry. You will work closely with cross-functional teams including data scientists, engineers, actuaries, and business leaders to transform business strategy into secure, scalable, and cost-effective AI architectures.
Key Responsibilities
AI Strategy & Use Case Development
  • Identify and prioritize AI/ML use cases across the insurance value chain: Underwriting, pricing, claims fraud detection, customer segmentation, policy recommendation engines, and chatbots.
  • Partner with business stakeholders (e.g., actuaries, underwriters, claims analysts) to define impactful AI-driven solutions that enhance decision-making and operational efficiency.
Architecture & Design
  • Design resilient, scalable, and cloud-agnostic AI/ML architectures using Azure and AWS.
  • Build and manage data ingestion and transformation pipelines using Azure Data Factory and AWS Glue.
  • Define and implement MLOps workflows using Azure ML Pipelines, AWS SageMaker Pipelines, and MLflow.
Technical Leadership
  • Lead design reviews, technical workshops, and blueprint sessions.
  • Mentor engineers and data scientists in best practices for model development, deployment, and cloud-native AI.
Solution Development
  • Implement NLP, computer vision, and deep learning solutions using Azure Cognitive Services, AWS Comprehend, Rekognition, and Bedrock.
  • Develop microservices/APIs (Python, FastAPI) for real-time inference and batch scoring.
  • Work with frameworks like TensorFlow, PyTorch, and Scikit-learn.
Integration with Insurance Systems
  • Ensure seamless integration with core insurance platforms: Policy Administration, Claims Management, Billing, CRM (e.g., Guidewire, Duck Creek, Salesforce).
  • Collaborate with enterprise architects to align AI with broader IT modernization initiatives.

Deployment & Operations
  • Containerize models using Docker, deploy via Kubernetes (AKS/EKS).
  • Implement CI/CD automation (Azure DevOps, AWS CodePipeline) and observability (CloudWatch, Prometheus, Azure Monitor).
Governance & Security
  • Enforce cloud security and data compliance using IAM, VNet, KMS, and encryption protocols.
  • Leverage Azure Responsible AI and AWS SageMaker Clarify for explainability, fairness, and auditability.
Stakeholder Engagement
  • Present technical architectures and value propositions to C-level executives, claims directors, and underwriting heads.
  • Serve as the bridge between business needs and AI/ML capabilities.
Required Qualifications
Experience:
  • 8-10 years in AI/ML and software/system architecture.
  • 5+ years in solution/technical leadership roles.

Education:
  • Bachelor's in Computer Science, Data Science, or Engineering.
  • Master's or PhD in AI/ML preferred.

Cloud Expertise:
  • Azure: Azure ML, Cognitive Services, Data Factory, Databricks, Cosmos DB
  • AWS: SageMaker, Comprehend, Rekognition, Glue, Redshift, DynamoDB

Tools & Frameworks:
  • Languages: Python (mandatory), Java or C++
  • ML Frameworks: TensorFlow, PyTorch, Scikit-learn
  • Big Data & Streaming: Spark, Kafka, Hadoop
  • MLOps/DevOps: Kubernetes (AKS/EKS), Docker, MLflow, Kubeflow, CI/CD pipelines
Preferred Qualifications
  • Certifications: Azure AI Engineer Associate, AWS Certified Machine Learning - Specialty
  • Advanced AI Expertise: Generative AI (Azure OpenAI, ChatGPT, AWS Bedrock), Prompt Engineering, Agentic AI
  • Community & Research: Contributions to open-source projects or AI/ML publications
  • Soft Skills: Strong communication, stakeholder management, and strategic thinking. Team leadership and mentoring
NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media

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