{"schemaVersion":"jobsearcher.job.v1","id":"a0bdbf4016374124447bb827","url":"https://jobsearcher.com/jobs/a0bdbf4016374124447bb827","canonicalUrl":"https://jobsearcher.com/jobs/a0bdbf4016374124447bb827","title":"Data/Metadata Engineer","description":"Everforth ECS is seeking a Data/Metadata Engineer to join our team in Arlington, VA (Hybrid). This position is contingent upon award.\n\nWe are seeking a talented Data Engineer / Metadata Engineer to design, develop, and optimize data pipelines, metadata repositories, and data governance solutions that support enterprise analytics, reporting, and data management initiatives. This role will be responsible for ensuring data quality, discoverability, lineage, cataloging, and integration across a complex data ecosystem (both internal and external to supporting organization).\n\nThe ideal candidate combines strong technical data engineering skills with expertise in metadata management, data governance frameworks, and modern cloud data platforms.\n\nKey Responsibilities\n\nData Engineering\n\nDesign, build, and maintain scalable data pipelines and ETL/ELT processes.\nIntegrate data from multiple structured and unstructured sources into enterprise data platforms.\nIntegrate and correlate data sets both internal and external to customer organization.\nDevelop and optimize data models, data warehouses, data lakes, and lakehouse architectures.\nEnsure data pipelines meet performance, reliability, and scalability requirements.\nImplement automation and monitoring for data ingestion and processing workflows.\n\nMetadata Management\n\nDesign and maintain enterprise metadata repositories and data catalogs.\nDefine and manage business, technical, and operational metadata standards.\nDevelop processes for automated metadata collection, classification, and enrichment.\nMaintain metadata lineage and impact analysis capabilities across data assets.\nEnsure metadata consistency and accuracy across enterprise systems.\n\nData Governance & Quality\n\nSupport enterprise data governance initiatives and best practices.\nPartner with business and technical stakeholders to define data ownership and stewardship models.\nImplement data quality monitoring and validation controls.\nEnsure compliance with organizational data policies and regulatory requirements.\nSupport master data management (MDM) and reference data initiatives.\n\nCloud & Platform Engineering\n\nDevelop and support cloud-native data solutions within Azure, AWS, or Google Cloud environments.\nBuild and optimize data integration solutions using cloud services and modern data tools.\nSupport enterprise analytics, AI/ML, business intelligence workloads, and assist with build of automation-first pipelines.\nContribute to infrastructure-as-code and data platform automation efforts.\n\nCollaboration & Stakeholder Support\n\nWork closely with data architects, analysts, data scientists, governance teams, and business stakeholders.\nTranslate business requirements into data engineering and metadata management solutions.\nSupport data discovery, self-service analytics, and data literacy initiatives.\nDocument system designs, data flows, metadata models, and operational procedures.\n\nSalary Range: $160,000 - $180,000\n\nGeneral Description of Benefits\n\nRequirements:\nActive Top Secret (TS) clearance\nBachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent experience.\n7+ years of experience in data engineering, metadata management, or related data platform roles.\nExperience building and maintaining ETL/ELT pipelines.\nStrong SQL development and database management skills.\nExperience with data warehousing and large-scale data processing.\nUnderstanding of metadata management, data lineage, and data catalog concepts.\nStrong problem-solving, analytical, and communication skills.\n\nReq Benefits:\nBenefits - Everforth ECS","company":"Everforth Ecs","rawCompany":"everforth ecs","city":"Arlington","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-09-09T08:57:19.264Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"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":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-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/Metadata Engineer","description":"Everforth ECS is seeking a Data/Metadata Engineer to join our team in Arlington, VA (Hybrid). This position is contingent upon award.\n\nWe are seeking a talented Data Engineer / Metadata Engineer to design, develop, and optimize data pipelines, metadata repositories, and data governance solutions that support enterprise analytics, reporting, and data management initiatives. This role will be responsible for ensuring data quality, discoverability, lineage, cataloging, and integration across a complex data ecosystem (both internal and external to supporting organization).\n\nThe ideal candidate combines strong technical data engineering skills with expertise in metadata management, data governance frameworks, and modern cloud data platforms.\n\nKey Responsibilities\n\nData Engineering\n\nDesign, build, and maintain scalable data pipelines and ETL/ELT processes.\nIntegrate data from multiple structured and unstructured sources into enterprise data platforms.\nIntegrate and correlate data sets both internal and external to customer organization.\nDevelop and optimize data models, data warehouses, data lakes, and lakehouse architectures.\nEnsure data pipelines meet performance, reliability, and scalability requirements.\nImplement automation and monitoring for data ingestion and processing workflows.\n\nMetadata Management\n\nDesign and maintain enterprise metadata repositories and data catalogs.\nDefine and manage business, technical, and operational metadata standards.\nDevelop processes for automated metadata collection, classification, and enrichment.\nMaintain metadata lineage and impact analysis capabilities across data assets.\nEnsure metadata consistency and accuracy across enterprise systems.\n\nData Governance & Quality\n\nSupport enterprise data governance initiatives and best practices.\nPartner with business and technical stakeholders to define data ownership and stewardship models.\nImplement data quality monitoring and validation controls.\nEnsure compliance with organizational data policies and regulatory requirements.\nSupport master data management (MDM) and reference data initiatives.\n\nCloud & Platform Engineering\n\nDevelop and support cloud-native data solutions within Azure, AWS, or Google Cloud environments.\nBuild and optimize data integration solutions using cloud services and modern data tools.\nSupport enterprise analytics, AI/ML, business intelligence workloads, and assist with build of automation-first pipelines.\nContribute to infrastructure-as-code and data platform automation efforts.\n\nCollaboration & Stakeholder Support\n\nWork closely with data architects, analysts, data scientists, governance teams, and business stakeholders.\nTranslate business requirements into data engineering and metadata management solutions.\nSupport data discovery, self-service analytics, and data literacy initiatives.\nDocument system designs, data flows, metadata models, and operational procedures.\n\nSalary Range: $160,000 - $180,000\n\nGeneral Description of Benefits\n\nRequirements:\nActive Top Secret (TS) clearance\nBachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent experience.\n7+ years of experience in data engineering, metadata management, or related data platform roles.\nExperience building and maintaining ETL/ELT pipelines.\nStrong SQL development and database management skills.\nExperience with data warehousing and large-scale data processing.\nUnderstanding of metadata management, data lineage, and data catalog concepts.\nStrong problem-solving, analytical, and communication skills.\n\nReq Benefits:\nBenefits - Everforth ECS","datePosted":"2026-09-09T08:57:19.264Z","dateModified":"2026-09-09T08:57:19.264Z","hiringOrganization":{"@type":"Organization","name":"Everforth Ecs","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Arlington","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a0bdbf4016374124447bb827"},"url":"https://jobsearcher.com/jobs/a0bdbf4016374124447bb827"}}