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Java Data Engineer Jobs in Rhode Island (NOW HIRING)

Senior Java Engineer (Remote)

Carolina, RI · Remote

$125K - $165K/yr

Coordinate and assist with troubleshooting of code defects, data errors and configuration problems ... Empathy with developers. Innate desire to create a superlative developer experience down to the ...

We are seeking a Senior Backend Engineer with strong experience in Functional Java , SpringBoot ... Java and SpringBoot * Architect and implement real-time data pipelines and event-driven systems ...

You'll work across service layers, integration points, and data pipelines to build a reliable ... Required qualifications to be successful in this role: . 6 9 years of Java (Spring Boot / Spring ...

Principal Software Engineer

Johnston, RI · On-site

$135K - $182K/yr

Hands-on experience with Java, Spring, and Spring Boot. * Experience with modern front-end ... Strong understanding of data structures and algorithms. * Experience utilizing code quality and ...

Principal Software Engineer

Johnston, RI · On-site +1

$135K - $182K/yr

Hands-on experience with Java, Spring, and Spring Boot. * Experience with modern front-end ... Strong understanding of data structures and algorithms. * Experience utilizing code quality and ...

... Java (Spring Boot) and NodeJS. You'll modernize a legacy application, design a scalable Angular ... Develop and optimize Angular data services, interceptors, and API integration layers using ...

Showing results 41-60

Java Data Engineer information

See Rhode Island salary details

$26

$59

$83

How much do java data engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for java data engineer in Rhode Island is $59.17, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $66.88 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?

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 Rhode Island? For Java Data Engineer jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Java Data Engineer jobs in Rhode Island look for? The top searched job categories for Java Data Engineer jobs in Rhode Island are:
What cities in Rhode Island are hiring for Java Data Engineer jobs? Cities in Rhode Island with the most Java Data Engineer job openings:

Software Engineer - Data Analytics Team

SEACORP

Middletown, RI

Full-time

Re-posted 21 hours ago


Job description

Job Summary: Your code will go to sea.As a Software Engineer at SEACORP, you will help design, build, and test thesoftware and data systems behind the Submarine Warfare Federated TacticalSystems (SWFTS) program: the integrated combat system used across the U.S. Navysubmarine fleet. You will join a multidisciplinary team of SEACORP andgovernment engineers who develop the services that move, store, and deliverdata for some of the most advanced platforms in the world.

Job Responsibilities:

  • Design, code, test, integrate, and document software solutions in languages such as Java, Python, and C++.
  • Develop databases, middleware, APIs, and prototypes in support of Navy data systems.
  • Work on problems with defined scope, schedule, and expectations.
  • Participate in an Agile team, consisting of daily scrums, two-week sprints, quarterly program increments, demonstrations, and retrospectives.
  • Use professional engineering tools, including Git, Linux, and the Atlassian suite (Jira, Confluence, etc).
  • Learn modern data, cloud, and AI-assisted development technologies on the job, with guidance from the team that runs them.

SEACORP logo

About SEACORP

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Middletown, RI, US

Year founded

1981