{"schemaVersion":"jobsearcher.job.v1","id":"20d043575ccc6951d98e666f","url":"https://jobsearcher.com/jobs/20d043575ccc6951d98e666f","canonicalUrl":"https://jobsearcher.com/jobs/20d043575ccc6951d98e666f","title":"Cloud Data Engineer – Data Modeling and Simulation (Azure)","description":"Clearance Level\nNone\nCategory\nIT Infrastructure and Operations\nLocation\nRemote, Working from the USA\n\nKey Skills For Success\n\nData Engineering\n\nMicrosoft Azure Cloud Services\n\nMicrosoft Cloud\n\nREQ#: RQ230081\nPublic Trust: MBI (T2)\nRequisition Type: Regular\nYour Impact\n\nOwn your opportunity to be on the frontlines of health innovation. Deliver for America’s health agency missions and enhance lives for hundreds of millions every day.\n\nJob Description\n\nGDIT is seeking a Cloud Data Engineer (Azure) to support the Indian Health Service Four Directions Data Warehouse (IHS 4DW) project.\n\nIHS, an agency within the Department of Health and Human Services, is the principal federal health care provider and health advocate for American Indian and Alaska Native (AI/AN) people. This role supports a mission-critical modernization effort: retiring the legacy Resource and Patient Management System (RPMS) and moving to a new electronic health record (EHR) ecosystem.\n\nAs a Cloud Data Engineer, you will focus on data modeling, simulation, and validation of Azure-based data pipelines that power analytics and reporting for the IHS 4DW program.\n\nHOW YOU WILL MAKE AN IMPACT\n\nDesign and implement test environments that simulate production-scale data loads from 200+ healthcare facilities.\nCreate models of data transformation processes to validate ETL accuracy, completeness, and performance.\nBuild automated testing frameworks for validating health data quality and pipeline reliability.\nDevelop test data generators that accurately represent healthcare data patterns, edge cases, and error conditions.\nImplement load testing and performance validation solutions for Azure-based data pipelines and services.\nCreate and maintain testing environments for HL7 FHIR data transformations and related data standards.\nCollaborate with data engineers, architects, and developers to ensure end-to-end data pipeline quality.\nAssist in all data engineering aspects of the Four Directions Data Warehouse project, including design reviews and code reviews.\nProvide technical leadership and guidance on testing architecture, data validation approaches, and best practices.\n\nWHAT YOU’LL NEED TO SUCCEED\n\nTechnical training, certification(s), or degree and 5+ years of relevant experience, or equivalent combination of education and experience.\nStrong experience with Azure data services, including:\nAzure Data Lake Storage Gen2\nAzure Synapse Analytics\nAzure Data Factory (or Synapse pipelines)\nExpertise in creating test automation frameworks and performance testing solutions for data pipelines.\nProficiency in Python and SQL for developing test data generators, validation scripts, and test harnesses.\nExperience with Infrastructure as Code (e.g., Bicep, ARM, Terraform) to create reproducible, automated test environments.\nProven track record of implementing automated testing pipelines and DevOps practices (CI/CD) in a data engineering context.\nExperience in simulating and testing large-scale data processing systems in the cloud.\n\nNICE TO HAVE\n\nRelevant Azure certifications such as:\nAzure Data Engineer Associate (DP-203)\nAzure Database Administrator Associate (DP-300)\nAzure Solutions Architect Expert (AZ-305)\nExperience with healthcare data systems, clinical data, and HIPAA compliance requirements.\nKnowledge of HL7 FHIR standards and healthcare data validation patterns.\nAdvanced skills in performance testing and monitoring tools (e.g., Azure Monitor, Application Insights, Log Analytics, JMeter, Locust).\nExperience with distributed systems testing, chaos/failure mode simulations, and resiliency validation.\nBackground in data quality assurance, data governance, and validation methodologies.\nExperience working in Agile environments and contributing to technical leadership within a team.\nMaster’s degree in Computer Science, Information Systems, Data Engineering, or a related field.\n\nLOCATION: Remote within the US\n\nCLEARANCE: Must be able to obtain a Public Trust Level 5 clearance, which requires residency in the U.S. for at least 3 of the past 5 years.\n\n** Work visa sponsorship will not be provided for this position **\n\nWHAT GDIT CAN OFFER YOU\n\n401(k) with company match\nCustomizable health benefits packages\nCollaborative teams of highly motivated critical thinkers and innovators\nInternal mobility and career development opportunities\n\n#GDITFedHealthJobs\n\nWork Requirements\nYears of Experience\n\n5 + years of related experience\n\n* may vary based on technical training, certification(s), or degree\n\nCertification\n\nTravel Required\n\nLess than 10%\n\nSalary and Benefit Information\n\nThe likely salary range for this position is $112,840 - $140,300. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.\n\nOur Identity Verification Process\n\nAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.\n\nAbout Our Work\n\nWe are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.\n\nJoin our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.\n\nEqual Opportunity Employer / Individuals with Disabilities / Protected Veterans","company":"General Dynamics Information Technology","rawCompany":"generaldynamicsinformationtechnology","city":"Myrtle Point","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-10-17T07:58:42.785Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"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":"Cloud Data Engineer – Data Modeling and Simulation (Azure)","description":"Clearance Level\nNone\nCategory\nIT Infrastructure and Operations\nLocation\nRemote, Working from the USA\n\nKey Skills For Success\n\nData Engineering\n\nMicrosoft Azure Cloud Services\n\nMicrosoft Cloud\n\nREQ#: RQ230081\nPublic Trust: MBI (T2)\nRequisition Type: Regular\nYour Impact\n\nOwn your opportunity to be on the frontlines of health innovation. Deliver for America’s health agency missions and enhance lives for hundreds of millions every day.\n\nJob Description\n\nGDIT is seeking a Cloud Data Engineer (Azure) to support the Indian Health Service Four Directions Data Warehouse (IHS 4DW) project.\n\nIHS, an agency within the Department of Health and Human Services, is the principal federal health care provider and health advocate for American Indian and Alaska Native (AI/AN) people. This role supports a mission-critical modernization effort: retiring the legacy Resource and Patient Management System (RPMS) and moving to a new electronic health record (EHR) ecosystem.\n\nAs a Cloud Data Engineer, you will focus on data modeling, simulation, and validation of Azure-based data pipelines that power analytics and reporting for the IHS 4DW program.\n\nHOW YOU WILL MAKE AN IMPACT\n\nDesign and implement test environments that simulate production-scale data loads from 200+ healthcare facilities.\nCreate models of data transformation processes to validate ETL accuracy, completeness, and performance.\nBuild automated testing frameworks for validating health data quality and pipeline reliability.\nDevelop test data generators that accurately represent healthcare data patterns, edge cases, and error conditions.\nImplement load testing and performance validation solutions for Azure-based data pipelines and services.\nCreate and maintain testing environments for HL7 FHIR data transformations and related data standards.\nCollaborate with data engineers, architects, and developers to ensure end-to-end data pipeline quality.\nAssist in all data engineering aspects of the Four Directions Data Warehouse project, including design reviews and code reviews.\nProvide technical leadership and guidance on testing architecture, data validation approaches, and best practices.\n\nWHAT YOU’LL NEED TO SUCCEED\n\nTechnical training, certification(s), or degree and 5+ years of relevant experience, or equivalent combination of education and experience.\nStrong experience with Azure data services, including:\nAzure Data Lake Storage Gen2\nAzure Synapse Analytics\nAzure Data Factory (or Synapse pipelines)\nExpertise in creating test automation frameworks and performance testing solutions for data pipelines.\nProficiency in Python and SQL for developing test data generators, validation scripts, and test harnesses.\nExperience with Infrastructure as Code (e.g., Bicep, ARM, Terraform) to create reproducible, automated test environments.\nProven track record of implementing automated testing pipelines and DevOps practices (CI/CD) in a data engineering context.\nExperience in simulating and testing large-scale data processing systems in the cloud.\n\nNICE TO HAVE\n\nRelevant Azure certifications such as:\nAzure Data Engineer Associate (DP-203)\nAzure Database Administrator Associate (DP-300)\nAzure Solutions Architect Expert (AZ-305)\nExperience with healthcare data systems, clinical data, and HIPAA compliance requirements.\nKnowledge of HL7 FHIR standards and healthcare data validation patterns.\nAdvanced skills in performance testing and monitoring tools (e.g., Azure Monitor, Application Insights, Log Analytics, JMeter, Locust).\nExperience with distributed systems testing, chaos/failure mode simulations, and resiliency validation.\nBackground in data quality assurance, data governance, and validation methodologies.\nExperience working in Agile environments and contributing to technical leadership within a team.\nMaster’s degree in Computer Science, Information Systems, Data Engineering, or a related field.\n\nLOCATION: Remote within the US\n\nCLEARANCE: Must be able to obtain a Public Trust Level 5 clearance, which requires residency in the U.S. for at least 3 of the past 5 years.\n\n** Work visa sponsorship will not be provided for this position **\n\nWHAT GDIT CAN OFFER YOU\n\n401(k) with company match\nCustomizable health benefits packages\nCollaborative teams of highly motivated critical thinkers and innovators\nInternal mobility and career development opportunities\n\n#GDITFedHealthJobs\n\nWork Requirements\nYears of Experience\n\n5 + years of related experience\n\n* may vary based on technical training, certification(s), or degree\n\nCertification\n\nTravel Required\n\nLess than 10%\n\nSalary and Benefit Information\n\nThe likely salary range for this position is $112,840 - $140,300. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.\n\nOur Identity Verification Process\n\nAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.\n\nAbout Our Work\n\nWe are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.\n\nJoin our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.\n\nEqual Opportunity Employer / Individuals with Disabilities / Protected Veterans","datePosted":"2026-10-17T07:58:42.785Z","dateModified":"2026-10-17T07:58:42.785Z","hiringOrganization":{"@type":"Organization","name":"General Dynamics Information Technology","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Myrtle Point","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"20d043575ccc6951d98e666f"},"url":"https://jobsearcher.com/jobs/20d043575ccc6951d98e666f"}}