{"schemaVersion":"jobsearcher.job.v1","id":"98e459bdc4ab00e6ae7ee19e","url":"https://jobsearcher.com/jobs/98e459bdc4ab00e6ae7ee19e","canonicalUrl":"https://jobsearcher.com/jobs/98e459bdc4ab00e6ae7ee19e","title":"Senior Java Developer","description":"Job Description: We are looking for a Data Engineer with strong skills in Java and Spring Boot to design and build scalable data solutions for one of our client programs.\n\nThe role focuses on developing robust backend services and data pipelines , enabling seamless data integration across enterprise systems. You will work on event-driven architectures, API-driven integrations, and high-performance data processing solutions using modern technologies.\n\nThe ideal candidate should be comfortable working in a distributed, fast-paced environment , collaborating with cross-functional teams to deliver reliable and efficient data solutions. This role provides an opportunity to contribute to end-to-end data engineering initiatives , from development to deployment and support.\n\nKey Responsibilities:\nDesign, build, and unit test Java-based applications for data processing\nDevelop backend services using Spring Boot and REST APIs\nBuild data pipelines integrating data from:\nRelational databases (Oracle)\nImplement event-driven data pipelines using Kafka (or MSK)\nDevelop and expose APIs for data access and integration\nWork with structured and semi-structured data formats (JSON, XML, etc.)\nOptimize application performance for high-volume data processing\nDeploy applications using Docker containers\nParticipate in code deployment and release processes\nMonitor and troubleshoot applications\nCreate documentation for usage, deployment, and support\nParticipate in agile development (scrum) and collaborate with cross-functional teams\n\nRequired Skills:\nStrong hands-on experience in Java development\nExperience with Spring Boot framework\nExperience working with Apache Kafka (event-driven architecture)\nStrong experience with Oracle databases and SQL\nExperience in building and consuming REST APIs\nKnowledge of data processing and integration patterns\nFamiliarity with JSON/XML data formats\nUnderstanding of Docker/containerization\nExperience with MongoDB or other NoSQL databases is plus\nThe posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.\nBase Compensation Range: $130,000- $150,000\n\nResponsibilities: Key Responsibilities:\nDesign, build, and unit test Java-based applications for data processing\nDevelop backend services using Spring Boot and REST APIs\nBuild data pipelines integrating data from:\nRelational databases (Oracle)\nImplement event-driven data pipelines using Kafka (or MSK)\nDevelop and expose APIs for data access and integration\nWork with structured and semi-structured data formats (JSON, XML, etc.)\nOptimize application performance for high-volume data processing\nDeploy applications using Docker containers\nParticipate in code deployment and release processes\nMonitor and troubleshoot applications\nCreate documentation for usage, deployment, and support\nParticipate in agile development (scrum) and collaborate with cross-functional teams\n\nQualifications: Required Skills:\nStrong hands-on experience in Java development\nExperience with Spring Boot framework\nExperience working with Apache Kafka (event-driven architecture)\nStrong experience with Oracle databases and SQL\nExperience in building and consuming REST APIs\nKnowledge of data processing and integration patterns\nFamiliarity with JSON/XML data formats\nUnderstanding of Docker/containerization\nExperience with MongoDB or other NoSQL databases is plus","company":"Ex","rawCompany":"ex","city":"New York","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-08-03T22:52:08.880Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Java Developer","description":"Job Description: We are looking for a Data Engineer with strong skills in Java and Spring Boot to design and build scalable data solutions for one of our client programs.\n\nThe role focuses on developing robust backend services and data pipelines , enabling seamless data integration across enterprise systems. You will work on event-driven architectures, API-driven integrations, and high-performance data processing solutions using modern technologies.\n\nThe ideal candidate should be comfortable working in a distributed, fast-paced environment , collaborating with cross-functional teams to deliver reliable and efficient data solutions. This role provides an opportunity to contribute to end-to-end data engineering initiatives , from development to deployment and support.\n\nKey Responsibilities:\nDesign, build, and unit test Java-based applications for data processing\nDevelop backend services using Spring Boot and REST APIs\nBuild data pipelines integrating data from:\nRelational databases (Oracle)\nImplement event-driven data pipelines using Kafka (or MSK)\nDevelop and expose APIs for data access and integration\nWork with structured and semi-structured data formats (JSON, XML, etc.)\nOptimize application performance for high-volume data processing\nDeploy applications using Docker containers\nParticipate in code deployment and release processes\nMonitor and troubleshoot applications\nCreate documentation for usage, deployment, and support\nParticipate in agile development (scrum) and collaborate with cross-functional teams\n\nRequired Skills:\nStrong hands-on experience in Java development\nExperience with Spring Boot framework\nExperience working with Apache Kafka (event-driven architecture)\nStrong experience with Oracle databases and SQL\nExperience in building and consuming REST APIs\nKnowledge of data processing and integration patterns\nFamiliarity with JSON/XML data formats\nUnderstanding of Docker/containerization\nExperience with MongoDB or other NoSQL databases is plus\nThe posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.\nBase Compensation Range: $130,000- $150,000\n\nResponsibilities: Key Responsibilities:\nDesign, build, and unit test Java-based applications for data processing\nDevelop backend services using Spring Boot and REST APIs\nBuild data pipelines integrating data from:\nRelational databases (Oracle)\nImplement event-driven data pipelines using Kafka (or MSK)\nDevelop and expose APIs for data access and integration\nWork with structured and semi-structured data formats (JSON, XML, etc.)\nOptimize application performance for high-volume data processing\nDeploy applications using Docker containers\nParticipate in code deployment and release processes\nMonitor and troubleshoot applications\nCreate documentation for usage, deployment, and support\nParticipate in agile development (scrum) and collaborate with cross-functional teams\n\nQualifications: Required Skills:\nStrong hands-on experience in Java development\nExperience with Spring Boot framework\nExperience working with Apache Kafka (event-driven architecture)\nStrong experience with Oracle databases and SQL\nExperience in building and consuming REST APIs\nKnowledge of data processing and integration patterns\nFamiliarity with JSON/XML data formats\nUnderstanding of Docker/containerization\nExperience with MongoDB or other NoSQL databases is plus","datePosted":"2026-08-03T22:52:08.880Z","dateModified":"2026-08-03T22:52:08.880Z","hiringOrganization":{"@type":"Organization","name":"Ex","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"98e459bdc4ab00e6ae7ee19e"},"url":"https://jobsearcher.com/jobs/98e459bdc4ab00e6ae7ee19e"}}