{"schemaVersion":"jobsearcher.job.v1","id":"b17e2a3dceeb0d37aa0452bc","url":"https://jobsearcher.com/jobs/b17e2a3dceeb0d37aa0452bc","canonicalUrl":"https://jobsearcher.com/jobs/b17e2a3dceeb0d37aa0452bc","title":"Bigdata Engineer with Java","description":"Job Description\n\nRate: $50/hr to 60/hr.Responsibilities:\r\nDesign, develop, and maintain data pipelines using Java.\r\nWrite efficient and Eligible to workimized SQL queries for data extraction, transformation, and loading (ETL) processes.\r\nWork with Data Frames to manipulate and analyze large datasets.\r\nImplement data storage and processing solutions using cloud technologies (preferably AWS or Eligible to workP).\r\nBuild and maintain real-time data streaming pipelines using MSK/Kafka.\r\nUtilize S3 for data storage and retrieval.\r\nWork with data lake technologies like Iceberg.\r\nEnsure data quality, integrity, and security.\r\nCollaborate with data scientists and other engineers to understand data requirements and deliver solutions.\r\nParticipate in code reviews and contribute to improving our development processes.\r\nTroubleshoot and resolve issues in data pipelines and back-end systems.Qualifications:\r\nBachelor's degree in Computer Science or a related field (or equivalent experience).\r\n5 years of experience in back-end development with a focus on data engineering.Required Skills:\r\nStrong proficiency in Spark, Java.\r\nExpertise in SQL and working with relational databases.\r\nExperience with Data Frames for data manipulation and analysis.\r\nExperience with cloud technologies (preferably AWS or Eligible to workP).\r\nExperience with message streaming platforms like MSK/Kafka.\r\nExperience with S3 or similar object storage.\r\nExperience with data lake technologies like Iceberg.\r\nSolid understanding of data warehousing concepts.\r\nExcellent communication and collaboration skills.","company":"Diverse Lynx","rawCompany":"diverse lynx","city":"Princeton","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-11-03T02:02:52.007Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Bigdata Engineer with Java","description":"Job Description\n\nRate: $50/hr to 60/hr.Responsibilities:\r\nDesign, develop, and maintain data pipelines using Java.\r\nWrite efficient and Eligible to workimized SQL queries for data extraction, transformation, and loading (ETL) processes.\r\nWork with Data Frames to manipulate and analyze large datasets.\r\nImplement data storage and processing solutions using cloud technologies (preferably AWS or Eligible to workP).\r\nBuild and maintain real-time data streaming pipelines using MSK/Kafka.\r\nUtilize S3 for data storage and retrieval.\r\nWork with data lake technologies like Iceberg.\r\nEnsure data quality, integrity, and security.\r\nCollaborate with data scientists and other engineers to understand data requirements and deliver solutions.\r\nParticipate in code reviews and contribute to improving our development processes.\r\nTroubleshoot and resolve issues in data pipelines and back-end systems.Qualifications:\r\nBachelor's degree in Computer Science or a related field (or equivalent experience).\r\n5 years of experience in back-end development with a focus on data engineering.Required Skills:\r\nStrong proficiency in Spark, Java.\r\nExpertise in SQL and working with relational databases.\r\nExperience with Data Frames for data manipulation and analysis.\r\nExperience with cloud technologies (preferably AWS or Eligible to workP).\r\nExperience with message streaming platforms like MSK/Kafka.\r\nExperience with S3 or similar object storage.\r\nExperience with data lake technologies like Iceberg.\r\nSolid understanding of data warehousing concepts.\r\nExcellent communication and collaboration skills.","datePosted":"2026-11-03T02:02:52.007Z","dateModified":"2026-11-03T02:02:52.007Z","hiringOrganization":{"@type":"Organization","name":"Diverse Lynx","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Princeton","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b17e2a3dceeb0d37aa0452bc"},"url":"https://jobsearcher.com/jobs/b17e2a3dceeb0d37aa0452bc"}}