{"schemaVersion":"jobsearcher.job.v1","id":"1d95b299a914dd7d45494068","url":"https://jobsearcher.com/jobs/1d95b299a914dd7d45494068","canonicalUrl":"https://jobsearcher.com/jobs/1d95b299a914dd7d45494068","title":"Java Spark Engineer","description":"Job Title: Java Spark EngineerLocation: Berkeley Heights, NJ (5 days onsite - flexibility to support weekends)Job Type: ContractExperience: 7+ years Java development; 5+ years Apache Spark in productionJob OverviewKey ResponsibilitiesArchitect and build scalable, fault-tolerant data pipelines using Apache Spark (Java)Drive performance tuning: partitioning strategy, memory management, shuffle/skew optimizationMentor mid-level and junior engineers; act as technical escalation pointPartner with product, analytics, and platform teams to translate requirements into scalable systemsOwn production reliability - incident response and root-cause analysis for pipeline failuresContribute to capacity planning and cost optimization for cluster infrastructureRequired Skills7+ years professional Java development experience5+ years hands-on Apache Spark in production environmentsExpert-level distributed systems knowledge: fault tolerance, data locality, shuffle mechanics, resource managementProven track record designing systems at terabyte+ scaleStrong SQL and deep familiarity with columnar storage formats: Parquet, ORC, Avro, Delta Lake/IcebergExperience with cluster managers: YARN, Kubernetes, cloud-managed SparkProficiency with Apache KafkaStrong grasp of CI/CD, containerization, and infrastructure-as-code practicesPreferred SkillsExperience with Apache Flink or other stream-processing frameworksFamiliarity with data governance, lineage, and quality frameworksExperience with workflow orchestration at scaleBackground in system design for multi-tenant or multi-region data platformsLocation & Work ModelBerkeley Heights, NJ - fully onsite, 5 days per week. Candidates must be flexible to support weekend operations when needed.Engagement Details5 openings available. Contract engagement. Bachelor's or Master's degree in Computer Science, Engineering, or related field required.","company":"Inficare","rawCompany":"inficare","city":"Berkeley Heights","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-09-11T13:12:58.071Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"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":"Java Spark Engineer","description":"Job Title: Java Spark EngineerLocation: Berkeley Heights, NJ (5 days onsite - flexibility to support weekends)Job Type: ContractExperience: 7+ years Java development; 5+ years Apache Spark in productionJob OverviewKey ResponsibilitiesArchitect and build scalable, fault-tolerant data pipelines using Apache Spark (Java)Drive performance tuning: partitioning strategy, memory management, shuffle/skew optimizationMentor mid-level and junior engineers; act as technical escalation pointPartner with product, analytics, and platform teams to translate requirements into scalable systemsOwn production reliability - incident response and root-cause analysis for pipeline failuresContribute to capacity planning and cost optimization for cluster infrastructureRequired Skills7+ years professional Java development experience5+ years hands-on Apache Spark in production environmentsExpert-level distributed systems knowledge: fault tolerance, data locality, shuffle mechanics, resource managementProven track record designing systems at terabyte+ scaleStrong SQL and deep familiarity with columnar storage formats: Parquet, ORC, Avro, Delta Lake/IcebergExperience with cluster managers: YARN, Kubernetes, cloud-managed SparkProficiency with Apache KafkaStrong grasp of CI/CD, containerization, and infrastructure-as-code practicesPreferred SkillsExperience with Apache Flink or other stream-processing frameworksFamiliarity with data governance, lineage, and quality frameworksExperience with workflow orchestration at scaleBackground in system design for multi-tenant or multi-region data platformsLocation & Work ModelBerkeley Heights, NJ - fully onsite, 5 days per week. Candidates must be flexible to support weekend operations when needed.Engagement Details5 openings available. Contract engagement. Bachelor's or Master's degree in Computer Science, Engineering, or related field required.","datePosted":"2026-09-11T13:12:58.071Z","dateModified":"2026-09-11T13:12:58.071Z","hiringOrganization":{"@type":"Organization","name":"Inficare","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berkeley Heights","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1d95b299a914dd7d45494068"},"url":"https://jobsearcher.com/jobs/1d95b299a914dd7d45494068"}}