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Java Data Engineer Jobs in Connecticut (NOW HIRING)

R2 Technologies Corporation

Data Architect

Hartford, CT · On-site

$64.25 - $82.75/hr

... Spark, Java, NoSQL DBs, AWS EMR. Develop data driven solutions utilizing current and next ... data engineers and source data providers. Provide subject matter expertise in the analysis ...

FHR

MO411-Java Oracle Forms developer 141779

Hartford, CT · On-site

$50 - $55/hr

Our direct client has a new opening for a Java Oracle Forms developer 141779 This job is 14 months ... personal data for these purposes and as described in the Privacy Policy. I understand that I can ...

Trinity Technology Solutions

Java Developer

Stamford, CT · On-site

$54.50 - $70.25/hr

Strong domain knowledge of financial asset classes like stocks, options, market data concepts, FIX ... Knowledge of JAVA and PERL is a plus. * Backoffice & clearing experience is a plus. * Self ...

US Tech Solutions

Java Architect

Windsor, CT · On-site

$62.75 - $84.50/hr

As a Java Architect, you will significantly contribute to identifying best-fit architectural ... Cloud, Big Data, Augmented reality. Performance Engineering knowledge is plus Additional ...

Prophecy Technologies

Mainframe Java Architect

Hartford, CT · On-site

$63.50 - $85.75/hr

Oversee data migration, transformation, and validation strategies. * Provide architectural ... Influence platform decisions across cloud, infrastructure, and application engineering. * Ensure ...

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All JobsJava Data Engineer JobsJava Data Engineer Jobs in Connecticut

Java Data Engineer information

See Connecticut salary details

$25

$57

$81

How much do java data engineer jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for java data engineer in Connecticut is $57.48, according to ZipRecruiter salary data. Most workers in this role earn between $47.36 and $64.95 per hour, depending on experience, location, and employer.

What is a Java Data Engineer?

A Java Data Engineer is a technology professional who designs, develops, and maintains data processing systems using Java programming language. They work with large datasets, build data pipelines, and ensure the efficient movement, transformation, and storage of data. Java Data Engineers often collaborate with data scientists, analysts, and other engineers to support data-driven decision-making in organizations. Their expertise typically includes Java, SQL, big data technologies like Hadoop or Spark, and cloud platforms. They play a crucial role in enabling reliable and scalable data infrastructure for businesses.

What is the difference between Java Data Engineer vs Python Data Engineer?

AspectJava Data EngineerPython Data Engineer
Required CredentialsBachelor's in Computer Science, Java certificationsBachelor's in Computer Science, Python certifications
Work EnvironmentBig data platforms, Java-based toolsData analysis, scripting, Python-based tools
Employer & Industry UsageFinancial services, enterprise systemsTech startups, data science projects
Common Search & ComparisonYesYes

Java Data Engineers and Python Data Engineers often share similar roles in data processing and engineering. The main difference lies in the programming languages used: Java is common in large-scale enterprise environments, while Python is favored for data analysis and scripting. Both roles require strong programming skills, but their toolsets and typical applications differ based on industry needs.

What are the most common challenges faced by Java Data Engineers when working with large-scale data pipelines?

Java Data Engineers often encounter challenges with optimizing the performance and scalability of data pipelines, especially as data volumes grow. They must ensure data integrity and consistency while managing distributed systems and integrating with various data sources. Debugging issues in real-time data processing and maintaining efficient, fault-tolerant code are also key hurdles. Collaborating closely with data scientists, database administrators, and DevOps teams is essential to overcome these challenges and deliver reliable data solutions.

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

To thrive as a Java Data Engineer, you need strong programming skills in Java, a solid understanding of data structures, SQL, and experience with big data frameworks, often supported by a degree in computer science or a related field. Familiarity with data processing tools like Apache Spark, Hadoop, Kafka, and experience with cloud data platforms (e.g., AWS, GCP) or relevant certifications are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills for collaborating with teams and interpreting data requirements. These capabilities are essential for building reliable, scalable data solutions that support business intelligence and analytics needs.
What are popular job titles related to Java Data Engineer jobs in Connecticut? For Java Data Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Java Data Engineer jobs in Connecticut look for? The top searched job categories for Java Data Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Java Data Engineer jobs? Cities in Connecticut with the most Java Data Engineer job openings:
Java Data Engineer jobs near you

Senior Java Full Stack Developer

Prophecy Technologies

Hartford, CT • On-site

$53 - $68.25/hr

Full-time

Posted 10 days ago

Job description

Role Overview:
The Senior Java Full Stack Developer will be responsible for developing and maintaining Java full stack applications, including web, desktop, and server applications. This role involves collaborating with stakeholders to gather integration requirements, designing and implementing message flows, and ensuring adherence to best practices in integration development. The developer will also troubleshoot issues, conduct code reviews, and provide technical mentorship to junior developers.
Key Responsibilities:
  • Develop and maintain Java full stack applications, including web, desktop, and server applications.
  • Collaborate with stakeholders, business analysts, and team members to gather integration requirements.
  • Develop message flows, message models, and maps for data transformation and routing.
  • Create and manage reusable integration artifacts for scalability and maintainability.
  • Implement best practices in integration development, including error handling, message logging, and security.
  • Troubleshoot and resolve integration issues to ensure smooth data flow and system interactions.
  • Participate in the full integration development lifecycle, from design and development to deployment and support.
  • Conduct code reviews to ensure integration quality and adherence to coding standards.
  • Stay updated with latest technologies and industry trends and apply them to projects.
  • Provide technical guidance and mentorship to junior developers.

Required Skills:
  • 6 to 10 years of experience in Java Spring Boot development.
  • Hands-on experience with GKE.
  • Experience designing and developing microservices using Java, Spring, or Node.js.
  • Proficiency in Java programming and the Spring Boot framework.
  • Experience with web application development and RESTful API design.
  • Strong experience with front-end technologies, including HTML, CSS, JavaScript, and frameworks such as React, Angular, jQuery, or Vue.js.
  • Experience supporting or implementing complex integration projects.
  • Experience with SQL databases and JPA/Hibernate.
  • Knowledge of HTML, CSS, and JavaScript.
  • Familiarity with source control systems such as Git.
  • Experience with CI/CD pipelines.

Qualifications:
  • 6 to 10 years of experience in Java Spring Boot development.

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