{"schemaVersion":"jobsearcher.job.v1","id":"4c2b7bc0db88383567bb9ed3","url":"https://jobsearcher.com/jobs/4c2b7bc0db88383567bb9ed3","canonicalUrl":"https://jobsearcher.com/jobs/4c2b7bc0db88383567bb9ed3","title":"Data Engineer","description":"Description:\n\nCompany Overview\n\nTrueScripts Management Services provides prescription benefit management expertise at a personal and customized level to ensure optimum value at the lowest possible cost for clients across the United States.\n\nThe Information Technology team supports this mission by delivering secure, scalable, cloud-native technology solutions that improve business operations, enable efficient data exchange, and support future growth in analytics and artificial intelligence.\n\nPosition Summary\n\nThe Data Engineer is responsible for designing, building, deploying, and supporting cloud-native data platforms, integrations, and data pipelines that enable secure and reliable data exchange between internal applications, external business partners, operational systems, and analytics platforms.\n\nThis role serves as a key technical resource supporting Application Engineers, business stakeholders, and external trading partners by ensuring data is accessible, trusted, secure, and available where and when it is needed. The Data Engineer works closely with software development teams to deliver scalable data services, integration frameworks, and operational data solutions within Microsoft Azure.\n\nThe ideal candidate combines strong technical expertise in data integration and cloud technologies with a practical understanding of business processes, application architecture, and healthcare data exchange.\n\nResponsibilities\n\nDesign, develop, deploy, and support cloud-native data solutions within Microsoft Azure.\nBuild and maintain scalable data ingestion, transformation, and orchestration pipelines using Azure services and modern integration patterns.\nDevelop and support integrations between internal applications, third-party vendors, clients, healthcare partners, and other external data trading partners.\nDesign and implement APIs, file exchange processes, and system-to-system integrations that support business operations and application development.\nCollaborate closely with Application Engineers to design data access patterns, integration architectures, and reusable data services.\nCreate and maintain operational data models that support application functionality and business processes.\nBuild and support Azure-based storage platforms, databases, and data services that enable application and analytics workloads.\nDevelop secure processes for exchanging data through APIs, flat files, SFTP, EDI transactions, healthcare interoperability standards, and other integration mechanisms as required.\nSupport real-time and near real-time data processing requirements where business needs warrant.\nDesign and implement monitoring, alerting, logging, and recovery processes for data pipelines and integrations.\nTroubleshoot and resolve data quality, integration, performance, and reliability issues across development, test, and production environments.\nDevelop automation solutions that improve reliability, consistency, and operational efficiency.\nMaintain documentation for integrations, data flows, APIs, pipelines, and supporting technologies.\nParticipate in architecture discussions and contribute recommendations related to scalability, reliability, performance, interoperability, and security.\nUtilize source control, CI/CD pipelines, and DevOps practices to support reliable deployment and maintenance of data solutions.\nEnsure compliance with company security standards and regulatory requirements related to healthcare and sensitive information.\nSupport AI, machine learning, and advanced analytics initiatives through the delivery of trusted and accessible data assets.\nStay current with Microsoft Azure services, modern data engineering practices, and emerging technologies.\nRequirements:\n\nQualifications\n\nRequired\n\nBachelor’s degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field preferred, or equivalent professional experience.\nMinimum of five years of professional experience in data engineering, data integration, application development, or a related technical discipline.\nStrong experience with Microsoft SQL Server and advanced SQL development.\nExperience building and supporting ETL/ELT processes and large-scale data integrations.\nExperience designing and implementing cloud-based solutions within Microsoft Azure.\nExperience with Azure Data Factory, Azure SQL, Storage Accounts, Azure Functions, Logic Apps, or similar Azure services.\nExperience developing and consuming RESTful APIs and modern integration technologies.\nStrong understanding of relational database design, data integration patterns, and data lifecycle management.\nExperience working with source control and DevOps platforms such as Azure DevOps and Git.\nAbility to troubleshoot complex technical issues involving data movement, integrations, and system interoperability.\nStrong analytical thinking, problem-solving skills, and attention to detail.\nStrong written and verbal communication skills with both technical and non-technical stakeholders.\nAbility to work independently and collaboratively in a team environment.\n\nPreferred Qualifications\n\nExperience with Microsoft Fabric, Azure Synapse Analytics, Databricks, or similar cloud data platforms.\nExperience supporting healthcare, pharmacy benefit management, claims processing, or highly regulated industries.\nFamiliarity with HIPAA, PHI, PII, and healthcare data security requirements.\nExperience working with healthcare interoperability standards such as FHIR, HL7, NCPDP, or EDI transactions.\nExperience with Python, PowerShell, C#, or other scripting and automation technologies.\nExperience with event-driven architectures, messaging platforms, and asynchronous integration patterns.\nFamiliarity with Azure Service Bus, Event Grid, Event Hubs, or related technologies.\nExperience supporting machine learning, AI, or advanced analytics initiatives.\nExperience with AI-assisted development tools such as GitHub Copilot, Claude Code, Devin, or Windsurf.\nExperience operating within Agile or iterative software delivery environments.","company":"Truescriptsmanagementservices","rawCompany":"truescriptsmanagementservices","city":"Washington","state":"MO","isRemote":false,"isActive":false,"createdAt":"2026-08-27T13:18:00.096Z","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":"Data Engineer","description":"Description:\n\nCompany Overview\n\nTrueScripts Management Services provides prescription benefit management expertise at a personal and customized level to ensure optimum value at the lowest possible cost for clients across the United States.\n\nThe Information Technology team supports this mission by delivering secure, scalable, cloud-native technology solutions that improve business operations, enable efficient data exchange, and support future growth in analytics and artificial intelligence.\n\nPosition Summary\n\nThe Data Engineer is responsible for designing, building, deploying, and supporting cloud-native data platforms, integrations, and data pipelines that enable secure and reliable data exchange between internal applications, external business partners, operational systems, and analytics platforms.\n\nThis role serves as a key technical resource supporting Application Engineers, business stakeholders, and external trading partners by ensuring data is accessible, trusted, secure, and available where and when it is needed. The Data Engineer works closely with software development teams to deliver scalable data services, integration frameworks, and operational data solutions within Microsoft Azure.\n\nThe ideal candidate combines strong technical expertise in data integration and cloud technologies with a practical understanding of business processes, application architecture, and healthcare data exchange.\n\nResponsibilities\n\nDesign, develop, deploy, and support cloud-native data solutions within Microsoft Azure.\nBuild and maintain scalable data ingestion, transformation, and orchestration pipelines using Azure services and modern integration patterns.\nDevelop and support integrations between internal applications, third-party vendors, clients, healthcare partners, and other external data trading partners.\nDesign and implement APIs, file exchange processes, and system-to-system integrations that support business operations and application development.\nCollaborate closely with Application Engineers to design data access patterns, integration architectures, and reusable data services.\nCreate and maintain operational data models that support application functionality and business processes.\nBuild and support Azure-based storage platforms, databases, and data services that enable application and analytics workloads.\nDevelop secure processes for exchanging data through APIs, flat files, SFTP, EDI transactions, healthcare interoperability standards, and other integration mechanisms as required.\nSupport real-time and near real-time data processing requirements where business needs warrant.\nDesign and implement monitoring, alerting, logging, and recovery processes for data pipelines and integrations.\nTroubleshoot and resolve data quality, integration, performance, and reliability issues across development, test, and production environments.\nDevelop automation solutions that improve reliability, consistency, and operational efficiency.\nMaintain documentation for integrations, data flows, APIs, pipelines, and supporting technologies.\nParticipate in architecture discussions and contribute recommendations related to scalability, reliability, performance, interoperability, and security.\nUtilize source control, CI/CD pipelines, and DevOps practices to support reliable deployment and maintenance of data solutions.\nEnsure compliance with company security standards and regulatory requirements related to healthcare and sensitive information.\nSupport AI, machine learning, and advanced analytics initiatives through the delivery of trusted and accessible data assets.\nStay current with Microsoft Azure services, modern data engineering practices, and emerging technologies.\nRequirements:\n\nQualifications\n\nRequired\n\nBachelor’s degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field preferred, or equivalent professional experience.\nMinimum of five years of professional experience in data engineering, data integration, application development, or a related technical discipline.\nStrong experience with Microsoft SQL Server and advanced SQL development.\nExperience building and supporting ETL/ELT processes and large-scale data integrations.\nExperience designing and implementing cloud-based solutions within Microsoft Azure.\nExperience with Azure Data Factory, Azure SQL, Storage Accounts, Azure Functions, Logic Apps, or similar Azure services.\nExperience developing and consuming RESTful APIs and modern integration technologies.\nStrong understanding of relational database design, data integration patterns, and data lifecycle management.\nExperience working with source control and DevOps platforms such as Azure DevOps and Git.\nAbility to troubleshoot complex technical issues involving data movement, integrations, and system interoperability.\nStrong analytical thinking, problem-solving skills, and attention to detail.\nStrong written and verbal communication skills with both technical and non-technical stakeholders.\nAbility to work independently and collaboratively in a team environment.\n\nPreferred Qualifications\n\nExperience with Microsoft Fabric, Azure Synapse Analytics, Databricks, or similar cloud data platforms.\nExperience supporting healthcare, pharmacy benefit management, claims processing, or highly regulated industries.\nFamiliarity with HIPAA, PHI, PII, and healthcare data security requirements.\nExperience working with healthcare interoperability standards such as FHIR, HL7, NCPDP, or EDI transactions.\nExperience with Python, PowerShell, C#, or other scripting and automation technologies.\nExperience with event-driven architectures, messaging platforms, and asynchronous integration patterns.\nFamiliarity with Azure Service Bus, Event Grid, Event Hubs, or related technologies.\nExperience supporting machine learning, AI, or advanced analytics initiatives.\nExperience with AI-assisted development tools such as GitHub Copilot, Claude Code, Devin, or Windsurf.\nExperience operating within Agile or iterative software delivery environments.","datePosted":"2026-08-27T13:18:00.096Z","dateModified":"2026-08-27T13:18:00.096Z","hiringOrganization":{"@type":"Organization","name":"Truescriptsmanagementservices","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"MO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4c2b7bc0db88383567bb9ed3"},"url":"https://jobsearcher.com/jobs/4c2b7bc0db88383567bb9ed3"}}