{"schemaVersion":"jobsearcher.job.v1","id":"e1cc75e118a46fe577b75582","url":"https://jobsearcher.com/jobs/e1cc75e118a46fe577b75582","canonicalUrl":"https://jobsearcher.com/jobs/e1cc75e118a46fe577b75582","title":"Data Engineer (Databricks, AWS)","description":"Data Engineer\nJob at a Glance\nTitle: Data Engineer (onsite)\nLocation: Raleigh, NC\nContract: W2 only, 12-month contract with potential for extension or conversion to full time with the client.\nPay: $ 80-85/hour + optional medical, dental, vision, 401(k) match\nOverview\nProvide day-to-day support for Databricks notebooks, workflows, jobs, and data pipelines across Commercial and Digital platforms. Monitor, troubleshoot, and resolve production issues impacting data processing, reporting, and analytics. Perform root cause analysis for job failures and implement preventive measures to improve platform reliability. Support notebook optimization, code refactoring, performance tuning, and operational automation initiatives. Manage job scheduling, dependency management, and execution monitoring to ensure adherence to business SLAs.\nKey Responsibilities\nProvide support for Databricks notebooks, workflows, jobs, and data pipelines.\nMonitor, troubleshoot, and resolve production issues impacting data processing, reporting, and analytics.\nPerform root cause analysis for job failures and implement preventive measures.\nSupport notebook optimization, code refactoring, performance tuning, and operational automation initiatives.\nManage job scheduling, dependency management, and execution monitoring to ensure adherence to business SLAs.\nConduct ongoing data quality assessments and validations across commercial data assets.\nInvestigate, troubleshoot, and resolve data discrepancies, data integrity issues, and pipeline failures.\nImplement automated data quality checks, reconciliation processes, and monitoring frameworks.\nPartner with business and IT stakeholders to identify and remediate data quality gaps affecting downstream analytics and reporting.\nSupport data governance standards, metadata management, and auditability requirements.\nEvaluate and enhance the operational architecture supporting Commercial, Digital, and Ex-US data ecosystems.\nIdentify opportunities to improve scalability, reliability, maintainability, and operational efficiency of data platforms.\nDevelop and maintain operational runbooks, support documentation, monitoring dashboards, and standard operating procedures.\nRecommend architectural and process improvements that reduce operational overhead and improve system performance.\nDrive automation initiatives to minimize manual interventions and improve support responsiveness.\nProvide Level 2/3 support for data platform incidents and service requests.\nCoordinate issue resolution activities across business, IT, and vendor teams.\nParticipate in incident triage, root cause analysis, and post-incident reviews.\nEnsure timely resolution of production issues while maintaining business continuity.\nSupport ingestion, transformation, and distribution processes within Databricks and associated data platforms.\nMonitor pipeline health and proactively address processing bottlenecks and performance issues.\nAssist with data refreshes, environment migrations, deployment support, and release validation activities.\nSupport ongoing enhancements and operational maintenance of commercial data assets.\nCollaborate with business users, analytics teams, data engineers, and platform administrators to address operational requirements.\nProvide regular operational status updates, issue tracking, and resolution reporting.\nParticipate in governance reviews, support planning sessions, and operational improvement initiatives.\nEnsure adherence to established operational standards, security guidelines, and platform best practices.\nMaintain comprehensive documentation of notebooks, data flows, operational procedures, and support processes.\nDevelop knowledge repositories and support materials to improve team efficiency and operational readiness.\nSupport knowledge transfer activities and operational handoffs across teams.\nIdentify opportunities to improve system stability, data accuracy, and operational performance.\nSupport implementation of monitoring, alerting, and observability frameworks.\nContribute to platform modernization and continuous improvement initiatives.\nDrive operational excellence through proactive issue prevention, process optimization, and automation.\nRequired Skills\n10–12 years of overall experience, preferably with a Life Sciences background.\nExperience supporting Databricks notebooks, workflows, jobs, and data pipelines.\nStrong troubleshooting and root cause analysis skills.\nExperience with data quality assessments, validations, and automated checks.\nKnowledge of data governance standards, metadata management, and auditability.\nAbility to evaluate and improve operational architecture for scalability and reliability.\nExperience with incident management, issue resolution, and post-incident reviews.\nFamiliarity with data ingestion, transformation, and distribution processes.\nAbility to monitor pipeline health and address processing bottlenecks.\nExperience with environment migrations, deployment support, and release validation.\nStrong collaboration skills with business and IT stakeholders.\nExcellent documentation and knowledge management skills.\nAbility to develop and maintain operational runbooks and dashboards.\nProactive approach to operational support and automation initiatives.\nRequired Education\nNo Education Requirements\nPreferred Skills\nExperience with cloud platforms such as AWS.\nKnowledge of data quality frameworks and automation tools.\nFamiliarity with data governance and compliance standards.\nExperience with data pipeline orchestration tools.\nKnowledge of SQL, Python, or Scala for data processing.\nExperience with monitoring and observability tools.\nStrong understanding of data security and privacy standards.\nWhy Should I Apply?\nJoin a dynamic team supporting critical data platforms that drive business insights. This role offers the opportunity to work on high-impact projects with a focus on operational excellence and automation.\nAbout CEI:\nAs a trusted technology partner, CEI delivers solutions that help our customers transform their business and achieve meaningful results. From strategy and custom application development through application management - our technology and digital experience services are tailored to meet each unique need of our customers. Our staffing solutions bring specialized skills to complement our customers' workforce and project requirements.\n#ZR\n#INDGEN","company":"Computer Enterprises Cei","rawCompany":"computer enterprises cei","city":"Raleigh","state":"NC","isRemote":false,"isActive":false,"createdAt":"2026-08-04T00:23:54.777Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-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":"Data Engineer (Databricks, AWS)","description":"Data Engineer\nJob at a Glance\nTitle: Data Engineer (onsite)\nLocation: Raleigh, NC\nContract: W2 only, 12-month contract with potential for extension or conversion to full time with the client.\nPay: $ 80-85/hour + optional medical, dental, vision, 401(k) match\nOverview\nProvide day-to-day support for Databricks notebooks, workflows, jobs, and data pipelines across Commercial and Digital platforms. Monitor, troubleshoot, and resolve production issues impacting data processing, reporting, and analytics. Perform root cause analysis for job failures and implement preventive measures to improve platform reliability. Support notebook optimization, code refactoring, performance tuning, and operational automation initiatives. Manage job scheduling, dependency management, and execution monitoring to ensure adherence to business SLAs.\nKey Responsibilities\nProvide support for Databricks notebooks, workflows, jobs, and data pipelines.\nMonitor, troubleshoot, and resolve production issues impacting data processing, reporting, and analytics.\nPerform root cause analysis for job failures and implement preventive measures.\nSupport notebook optimization, code refactoring, performance tuning, and operational automation initiatives.\nManage job scheduling, dependency management, and execution monitoring to ensure adherence to business SLAs.\nConduct ongoing data quality assessments and validations across commercial data assets.\nInvestigate, troubleshoot, and resolve data discrepancies, data integrity issues, and pipeline failures.\nImplement automated data quality checks, reconciliation processes, and monitoring frameworks.\nPartner with business and IT stakeholders to identify and remediate data quality gaps affecting downstream analytics and reporting.\nSupport data governance standards, metadata management, and auditability requirements.\nEvaluate and enhance the operational architecture supporting Commercial, Digital, and Ex-US data ecosystems.\nIdentify opportunities to improve scalability, reliability, maintainability, and operational efficiency of data platforms.\nDevelop and maintain operational runbooks, support documentation, monitoring dashboards, and standard operating procedures.\nRecommend architectural and process improvements that reduce operational overhead and improve system performance.\nDrive automation initiatives to minimize manual interventions and improve support responsiveness.\nProvide Level 2/3 support for data platform incidents and service requests.\nCoordinate issue resolution activities across business, IT, and vendor teams.\nParticipate in incident triage, root cause analysis, and post-incident reviews.\nEnsure timely resolution of production issues while maintaining business continuity.\nSupport ingestion, transformation, and distribution processes within Databricks and associated data platforms.\nMonitor pipeline health and proactively address processing bottlenecks and performance issues.\nAssist with data refreshes, environment migrations, deployment support, and release validation activities.\nSupport ongoing enhancements and operational maintenance of commercial data assets.\nCollaborate with business users, analytics teams, data engineers, and platform administrators to address operational requirements.\nProvide regular operational status updates, issue tracking, and resolution reporting.\nParticipate in governance reviews, support planning sessions, and operational improvement initiatives.\nEnsure adherence to established operational standards, security guidelines, and platform best practices.\nMaintain comprehensive documentation of notebooks, data flows, operational procedures, and support processes.\nDevelop knowledge repositories and support materials to improve team efficiency and operational readiness.\nSupport knowledge transfer activities and operational handoffs across teams.\nIdentify opportunities to improve system stability, data accuracy, and operational performance.\nSupport implementation of monitoring, alerting, and observability frameworks.\nContribute to platform modernization and continuous improvement initiatives.\nDrive operational excellence through proactive issue prevention, process optimization, and automation.\nRequired Skills\n10–12 years of overall experience, preferably with a Life Sciences background.\nExperience supporting Databricks notebooks, workflows, jobs, and data pipelines.\nStrong troubleshooting and root cause analysis skills.\nExperience with data quality assessments, validations, and automated checks.\nKnowledge of data governance standards, metadata management, and auditability.\nAbility to evaluate and improve operational architecture for scalability and reliability.\nExperience with incident management, issue resolution, and post-incident reviews.\nFamiliarity with data ingestion, transformation, and distribution processes.\nAbility to monitor pipeline health and address processing bottlenecks.\nExperience with environment migrations, deployment support, and release validation.\nStrong collaboration skills with business and IT stakeholders.\nExcellent documentation and knowledge management skills.\nAbility to develop and maintain operational runbooks and dashboards.\nProactive approach to operational support and automation initiatives.\nRequired Education\nNo Education Requirements\nPreferred Skills\nExperience with cloud platforms such as AWS.\nKnowledge of data quality frameworks and automation tools.\nFamiliarity with data governance and compliance standards.\nExperience with data pipeline orchestration tools.\nKnowledge of SQL, Python, or Scala for data processing.\nExperience with monitoring and observability tools.\nStrong understanding of data security and privacy standards.\nWhy Should I Apply?\nJoin a dynamic team supporting critical data platforms that drive business insights. This role offers the opportunity to work on high-impact projects with a focus on operational excellence and automation.\nAbout CEI:\nAs a trusted technology partner, CEI delivers solutions that help our customers transform their business and achieve meaningful results. From strategy and custom application development through application management - our technology and digital experience services are tailored to meet each unique need of our customers. Our staffing solutions bring specialized skills to complement our customers' workforce and project requirements.\n#ZR\n#INDGEN","datePosted":"2026-08-04T00:23:54.777Z","dateModified":"2026-08-04T00:23:54.777Z","hiringOrganization":{"@type":"Organization","name":"Computer Enterprises Cei","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Raleigh","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e1cc75e118a46fe577b75582"},"url":"https://jobsearcher.com/jobs/e1cc75e118a46fe577b75582"}}