{"schemaVersion":"jobsearcher.job.v1","id":"098a85bea0634b92f4ed10a8","url":"https://jobsearcher.com/jobs/098a85bea0634b92f4ed10a8","canonicalUrl":"https://jobsearcher.com/jobs/098a85bea0634b92f4ed10a8","title":"Data Engineer","description":"JOB SUMMARY: We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the primary architect and builder of our data pipelines. This role will be responsible for designing, implementing, and maintaining scalable, cost-effective data solutions that power enterprise analytics and reporting. The ideal candidate will work closely with business stakeholders to identify data needs, ensure high data quality, and optimize our use of Azure-based technologies for ongoing innovation and performance.\nESSENTIAL DUTIES\nDesign, build, and maintain robust, scalable data pipelines in Azure using services such as Azure Data Factory, Azure Synapse, and Azure Data Lake.\nIngest and integrate data from diverse sources (APIs, databases, files, etc.) into centralized repositories for analytics use.\nDevelop and manage ETL/ELT workflows that transform raw data into clean, analytics-ready models aligned with business requirements.\nCreate microservices architecture that rapidly scales with business growth and AI capabilities.\nBuild data pipelines that feed AI models with clean, structured logistics data.\nImplement real-time analytics engines powering predictive logistics capabilities.\nEnsure data quality, integrity, and governance through validation, monitoring, and alerting systems.\nCollaborate with business and technical teams to gather data requirements and ensure alignment between data assets and business needs.\nImplement cost-conscious data engineering strategies, optimizing performance while managing cloud consumption and storage expenses.\nMaintain and enhance a semantic data layer or curated datasets to support self-service BI (Power BI) and advanced analytics.\nContribute to the architecture of our data platform, including security, scalability, and performance best practices.\nAutomate data operations and deployment processes using CI/CD pipelines and infrastructure-as-code (e.g., ARM, Bicep, or Terraform).\nStay current with emerging Azure technologies and recommend improvements to existing data workflows\nOther duties as assigned.\nQUALIFICIATIONS\nEducation\nBachelor’s Degree in an IT-related program OR equivalent with 7+ years of technology experience required.\nAdditional related training and certifications will be weighted on a case-by-case basis.\nExperience\n5+ years of hands-on experience in a data engineering or similar role, with a proven track record of building end-to-end data solutions in a cloud-native Microsoft Azure environment, including data ingestion, transformation, and modeling for analytics use cases\nWork experience in the transportation industry is a plus.\nKnowledge, Skills, and Abilities\nProven experience building and managing data pipelines in Microsoft Azure environments.\nProficiency with tools like Azure Data Factory, Synapse Analytics, Data Lake, and Power BI integration.\nStrong knowledge of SQL, data modeling, and ELT/ETL patterns.\nExperience working with APIs, JSON, and structured/unstructured data sources.\nDemonstrated ability to work cross-functionally to define and deliver high-quality data solutions.\nStrong organizational skills and ability to perform multiple tasks simultaneously, set priorities, work in teams with diverse cultural backgrounds, work independently, and handle conflicting priorities while maintaining consistent, quality work with attention to detail and meet tight deadlines.\nAvailability to work a flexible schedule as needed.\nProficient in Microsoft Office Suite.\nDemonstrated leadership skills, with the ability to effectively communicate and collaborate with cross-functional teams.\nAttention to detail, with a focus on accuracy and compliance in a fast-paced, dynamic environment.\nLogistics / Supply Chain experience preferred.","company":"Ease Logistics Services","rawCompany":"ease logistics services","city":"Dublin","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-07-15T14:31:19.511Z","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":"JOB SUMMARY: We are seeking a skilled Data Engineer to join our Analytics & Automation team and serve as the primary architect and builder of our data pipelines. This role will be responsible for designing, implementing, and maintaining scalable, cost-effective data solutions that power enterprise analytics and reporting. The ideal candidate will work closely with business stakeholders to identify data needs, ensure high data quality, and optimize our use of Azure-based technologies for ongoing innovation and performance.\nESSENTIAL DUTIES\nDesign, build, and maintain robust, scalable data pipelines in Azure using services such as Azure Data Factory, Azure Synapse, and Azure Data Lake.\nIngest and integrate data from diverse sources (APIs, databases, files, etc.) into centralized repositories for analytics use.\nDevelop and manage ETL/ELT workflows that transform raw data into clean, analytics-ready models aligned with business requirements.\nCreate microservices architecture that rapidly scales with business growth and AI capabilities.\nBuild data pipelines that feed AI models with clean, structured logistics data.\nImplement real-time analytics engines powering predictive logistics capabilities.\nEnsure data quality, integrity, and governance through validation, monitoring, and alerting systems.\nCollaborate with business and technical teams to gather data requirements and ensure alignment between data assets and business needs.\nImplement cost-conscious data engineering strategies, optimizing performance while managing cloud consumption and storage expenses.\nMaintain and enhance a semantic data layer or curated datasets to support self-service BI (Power BI) and advanced analytics.\nContribute to the architecture of our data platform, including security, scalability, and performance best practices.\nAutomate data operations and deployment processes using CI/CD pipelines and infrastructure-as-code (e.g., ARM, Bicep, or Terraform).\nStay current with emerging Azure technologies and recommend improvements to existing data workflows\nOther duties as assigned.\nQUALIFICIATIONS\nEducation\nBachelor’s Degree in an IT-related program OR equivalent with 7+ years of technology experience required.\nAdditional related training and certifications will be weighted on a case-by-case basis.\nExperience\n5+ years of hands-on experience in a data engineering or similar role, with a proven track record of building end-to-end data solutions in a cloud-native Microsoft Azure environment, including data ingestion, transformation, and modeling for analytics use cases\nWork experience in the transportation industry is a plus.\nKnowledge, Skills, and Abilities\nProven experience building and managing data pipelines in Microsoft Azure environments.\nProficiency with tools like Azure Data Factory, Synapse Analytics, Data Lake, and Power BI integration.\nStrong knowledge of SQL, data modeling, and ELT/ETL patterns.\nExperience working with APIs, JSON, and structured/unstructured data sources.\nDemonstrated ability to work cross-functionally to define and deliver high-quality data solutions.\nStrong organizational skills and ability to perform multiple tasks simultaneously, set priorities, work in teams with diverse cultural backgrounds, work independently, and handle conflicting priorities while maintaining consistent, quality work with attention to detail and meet tight deadlines.\nAvailability to work a flexible schedule as needed.\nProficient in Microsoft Office Suite.\nDemonstrated leadership skills, with the ability to effectively communicate and collaborate with cross-functional teams.\nAttention to detail, with a focus on accuracy and compliance in a fast-paced, dynamic environment.\nLogistics / Supply Chain experience preferred.","datePosted":"2026-07-15T14:31:19.511Z","dateModified":"2026-07-15T14:31:19.511Z","hiringOrganization":{"@type":"Organization","name":"Ease Logistics Services","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"098a85bea0634b92f4ed10a8"},"url":"https://jobsearcher.com/jobs/098a85bea0634b92f4ed10a8"}}