{"schemaVersion":"jobsearcher.job.v1","id":"a352d26685461dcf6d3f3e1d","url":"https://jobsearcher.com/jobs/a352d26685461dcf6d3f3e1d","canonicalUrl":"https://jobsearcher.com/jobs/a352d26685461dcf6d3f3e1d","title":"Data Engineer","description":"Location: RemoteClearance Level: Active SecretOverviewRackner is seeking a Data Engineer to design, develop, and maintain data ingestion, transformation, integration, and data quality processes supporting modern cloud-based data platforms.The Data Engineer will work primarily within the Microsoft Fabric environment, developing scalable data pipelines and implementing Bronze, Silver, and Gold medallion architecture layers across assigned data domains. This role will support the ingestion and transformation of data from student information systems, HR/personnel systems, financial systems, operational databases, and other enterprise data sources.The Data Engineer will also support education data integration using the Ed-Fi Data Standard and REST APIs, including source-to-Ed-Fi mapping, descriptor customization, synchronization, validation, and future migration activities.Responsibilities Develop and maintain data ingestion pipelines, transformation logic, and data quality processes within Microsoft FabricImplement and maintain Bronze, Silver, and Gold medallion architecture layers for assigned data domainsExtract, transform, and load data from enterprise source systems, including:Student information systemsHR and personnel systemsFinancial systemsLogistics systemsIT service management platformsOperational databasesDevelop ETL and ELT pipelines that ingest source-system data into the Microsoft Fabric LakehouseBuild and maintain data integration pipelines, API connections, and automated synchronization processesDevelop Ed-Fi REST API integrations supporting education data workstreamsImplement Aspen-to-Ed-Fi export mappings, descriptor customization, transformation logic, and API-based data synchronizationDevelop non-education data ingestion pipelines supporting HR/DCPDS, finance, logistics, and IT service management domainsPerform source-system data profiling, mapping, cleansing, and transformationConduct reconciliation testing and validate data completeness, accuracy, and consistency across source and target systemsIdentify, troubleshoot, and resolve data quality, pipeline, and integration issuesDevelop SQL queries, Python or PySpark processing logic, and reusable data transformation componentsSupport data population and migration activities across cloud and enterprise data environmentsProduce and maintain technical documentation for data pipelines, interfaces, mappings, transformation logic, and operational processesCollaborate with data architects, analysts, governance specialists, application teams, and source-system owners to define and implement data integration requirementsSupport Ed-Fi Data Management Service (DMS) migration planning as the DMS reaches production readinessSupport knowledge transfer and operational transition activities for implemented pipelines and data servicesQualificationsExperience developing data pipelines, ETL/ELT processes, and data integrationsExperience with Microsoft Fabric, Azure Data Factory, or comparable cloud data platformsStrong SQL proficiency, including querying, transformation, validation, and troubleshootingExperience with Python and/or PySpark for data engineering workloadsExperience working with structured and semi-structured enterprise dataUnderstanding of cloud-based data lake, lakehouse, or data warehouse architecturesExperience with data mapping, data profiling, reconciliation testing, and data quality processesExperience integrating systems through REST APIs or similar application interfacesAbility to document data flows, pipeline configurations, mappings, and technical processesStrong troubleshooting, analytical, and communication skillsActive Secret clearancePreferred QualificationsExperience with Microsoft Fabric Lakehouse architectureExperience implementing Bronze, Silver, and Gold medallion data architecturesExperience with the Ed-Fi Data Standard, Ed-Fi ODS/API, or Ed-Fi REST APIsExperience performing Aspen-to-Ed-Fi mapping or integrating other student information systems with Ed-FiExperience with HR/DCPDS, financial, logistics, or IT service management dataExperience supporting large-scale cloud data migrations or modernization initiativesFamiliarity with data governance, metadata management, lineage, and enterprise data quality practicesAbout RacknerRackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions. Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.Benefits & PerksAt Rackner, we believe that when our people grow, our company grows with them, and we are committed to supporting their growth, development and success. We are proud to offer a creative and forward-thinking environment that includes: Company-supported certifications aligned to current and future program work,including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, andrelated technical areas Clear advancement tracks and future leadership opportunities 401(k) with 100% match up to 6% Comprehensive medical, dental, vision, life, and disability coverage Generous PTO and paid holidays Home-office equipment plan and remote work support Fitness and wellness reimbursement Weekly pay schedule and modern perks, including team eventsEqual OpportunityRackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.","company":"Rackner","rawCompany":"rackner","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-09-14T08:03:09.099Z","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":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Location: RemoteClearance Level: Active SecretOverviewRackner is seeking a Data Engineer to design, develop, and maintain data ingestion, transformation, integration, and data quality processes supporting modern cloud-based data platforms.The Data Engineer will work primarily within the Microsoft Fabric environment, developing scalable data pipelines and implementing Bronze, Silver, and Gold medallion architecture layers across assigned data domains. This role will support the ingestion and transformation of data from student information systems, HR/personnel systems, financial systems, operational databases, and other enterprise data sources.The Data Engineer will also support education data integration using the Ed-Fi Data Standard and REST APIs, including source-to-Ed-Fi mapping, descriptor customization, synchronization, validation, and future migration activities.Responsibilities Develop and maintain data ingestion pipelines, transformation logic, and data quality processes within Microsoft FabricImplement and maintain Bronze, Silver, and Gold medallion architecture layers for assigned data domainsExtract, transform, and load data from enterprise source systems, including:Student information systemsHR and personnel systemsFinancial systemsLogistics systemsIT service management platformsOperational databasesDevelop ETL and ELT pipelines that ingest source-system data into the Microsoft Fabric LakehouseBuild and maintain data integration pipelines, API connections, and automated synchronization processesDevelop Ed-Fi REST API integrations supporting education data workstreamsImplement Aspen-to-Ed-Fi export mappings, descriptor customization, transformation logic, and API-based data synchronizationDevelop non-education data ingestion pipelines supporting HR/DCPDS, finance, logistics, and IT service management domainsPerform source-system data profiling, mapping, cleansing, and transformationConduct reconciliation testing and validate data completeness, accuracy, and consistency across source and target systemsIdentify, troubleshoot, and resolve data quality, pipeline, and integration issuesDevelop SQL queries, Python or PySpark processing logic, and reusable data transformation componentsSupport data population and migration activities across cloud and enterprise data environmentsProduce and maintain technical documentation for data pipelines, interfaces, mappings, transformation logic, and operational processesCollaborate with data architects, analysts, governance specialists, application teams, and source-system owners to define and implement data integration requirementsSupport Ed-Fi Data Management Service (DMS) migration planning as the DMS reaches production readinessSupport knowledge transfer and operational transition activities for implemented pipelines and data servicesQualificationsExperience developing data pipelines, ETL/ELT processes, and data integrationsExperience with Microsoft Fabric, Azure Data Factory, or comparable cloud data platformsStrong SQL proficiency, including querying, transformation, validation, and troubleshootingExperience with Python and/or PySpark for data engineering workloadsExperience working with structured and semi-structured enterprise dataUnderstanding of cloud-based data lake, lakehouse, or data warehouse architecturesExperience with data mapping, data profiling, reconciliation testing, and data quality processesExperience integrating systems through REST APIs or similar application interfacesAbility to document data flows, pipeline configurations, mappings, and technical processesStrong troubleshooting, analytical, and communication skillsActive Secret clearancePreferred QualificationsExperience with Microsoft Fabric Lakehouse architectureExperience implementing Bronze, Silver, and Gold medallion data architecturesExperience with the Ed-Fi Data Standard, Ed-Fi ODS/API, or Ed-Fi REST APIsExperience performing Aspen-to-Ed-Fi mapping or integrating other student information systems with Ed-FiExperience with HR/DCPDS, financial, logistics, or IT service management dataExperience supporting large-scale cloud data migrations or modernization initiativesFamiliarity with data governance, metadata management, lineage, and enterprise data quality practicesAbout RacknerRackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions. Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.Benefits & PerksAt Rackner, we believe that when our people grow, our company grows with them, and we are committed to supporting their growth, development and success. We are proud to offer a creative and forward-thinking environment that includes: Company-supported certifications aligned to current and future program work,including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, andrelated technical areas Clear advancement tracks and future leadership opportunities 401(k) with 100% match up to 6% Comprehensive medical, dental, vision, life, and disability coverage Generous PTO and paid holidays Home-office equipment plan and remote work support Fitness and wellness reimbursement Weekly pay schedule and modern perks, including team eventsEqual OpportunityRackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.","datePosted":"2026-09-14T08:03:09.099Z","dateModified":"2026-09-14T08:03:09.099Z","hiringOrganization":{"@type":"Organization","name":"Rackner","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a352d26685461dcf6d3f3e1d"},"url":"https://jobsearcher.com/jobs/a352d26685461dcf6d3f3e1d"}}