{"schemaVersion":"jobsearcher.job.v1","id":"458394ab909ac5b6d9cabacd","url":"https://jobsearcher.com/jobs/458394ab909ac5b6d9cabacd","canonicalUrl":"https://jobsearcher.com/jobs/458394ab909ac5b6d9cabacd","title":"Data Engineer","description":"OverviewConsidering applying for this job Do not delay, scroll down and make your application as soon as possible to avoid missing out.As a Data Engineer in a contract-to-permanent role, you will design and maintain scalable data pipelines connecting enterprise and operational sources to analytics platforms. You will build curated data models and support BI and data-driven decision making across finance, supply chain, operations, and analytics teams. The role spans IT and OT integration, enforcing data quality, security, and governance while enabling reliable data delivery. You will collaborate with BI, IT, and plant teams to improve observability, performance, and deployment reliability, shaping data solutions for the organization.ResponsibilitiesDesign, build, and maintain large-scale data pipelines from source systems to analytics layersDevelop curated and semantic data models for BI and downstream applicationsIntegrate manufacturing and OT data sources with approved methods while coordinating with plant teamsEstablish data quality standards with validation, automated tests, and monitoringImplement observability practices including lineage tracking and alertingApply security and governance controls (access, secrets, data classification, retention)Automate deployments with Git-based CI/CD for reliable releasesTune performance and storage for speed and cost balanceCollaborate with BI, data, and IT stakeholders to define data contracts and transfer knowledgeKey requirementsExperience in designing and building data pipelines for analytics and reportingKnowledge of data modeling for analytics platformsExperience with OT/IT data xaygatp integration and plant/controls collaborationData quality, validation, monitoring, and lineageData security and governance practicesCI/CD and git-based deployment workflowsPerformance tuning and scalable storage strategiesStakeholder collaboration for data contracts and documentationCross-functional collaborationCommunicationProblem-solving orientationData pipeline design and implementationSemantic data modeling for BIOT/IT data integration","company":"Robert Half","rawCompany":"robert half","city":"Hackensack","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-10-27T01:50:47.977Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"OverviewConsidering applying for this job Do not delay, scroll down and make your application as soon as possible to avoid missing out.As a Data Engineer in a contract-to-permanent role, you will design and maintain scalable data pipelines connecting enterprise and operational sources to analytics platforms. You will build curated data models and support BI and data-driven decision making across finance, supply chain, operations, and analytics teams. The role spans IT and OT integration, enforcing data quality, security, and governance while enabling reliable data delivery. You will collaborate with BI, IT, and plant teams to improve observability, performance, and deployment reliability, shaping data solutions for the organization.ResponsibilitiesDesign, build, and maintain large-scale data pipelines from source systems to analytics layersDevelop curated and semantic data models for BI and downstream applicationsIntegrate manufacturing and OT data sources with approved methods while coordinating with plant teamsEstablish data quality standards with validation, automated tests, and monitoringImplement observability practices including lineage tracking and alertingApply security and governance controls (access, secrets, data classification, retention)Automate deployments with Git-based CI/CD for reliable releasesTune performance and storage for speed and cost balanceCollaborate with BI, data, and IT stakeholders to define data contracts and transfer knowledgeKey requirementsExperience in designing and building data pipelines for analytics and reportingKnowledge of data modeling for analytics platformsExperience with OT/IT data xaygatp integration and plant/controls collaborationData quality, validation, monitoring, and lineageData security and governance practicesCI/CD and git-based deployment workflowsPerformance tuning and scalable storage strategiesStakeholder collaboration for data contracts and documentationCross-functional collaborationCommunicationProblem-solving orientationData pipeline design and implementationSemantic data modeling for BIOT/IT data integration","datePosted":"2026-10-27T01:50:47.977Z","dateModified":"2026-10-27T01:50:47.977Z","hiringOrganization":{"@type":"Organization","name":"Robert Half","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hackensack","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"458394ab909ac5b6d9cabacd"},"url":"https://jobsearcher.com/jobs/458394ab909ac5b6d9cabacd"}}