{"schemaVersion":"jobsearcher.job.v1","id":"afab4c633e64e9071636c1d4","url":"https://jobsearcher.com/jobs/afab4c633e64e9071636c1d4","canonicalUrl":"https://jobsearcher.com/jobs/afab4c633e64e9071636c1d4","title":"Mid-Level Data Engineer","description":"Everforth ECS is seeking a Mid-Level Data Engineer to work remotely.\n\nEverforth ECS is seeking a Mid-Level Data Engineer to support the design, development, and optimization of scalable data pipelines and services for the Consumer Product Safety Commission enterprise data management environment. This role will support advanced analytics, machine learning readiness, and modernization of CPSC's Azure-based data infrastructure.\n\nKey Responsibilities\nDevelop production-grade ETL workflows using Python and Microsoft-based frameworks.\nIngest, transform, and validate structured and unstructured data.\nImplement schema enforcement, data validation, and quality checks.\nSupport Azure Data Lake Storage, Azure SQL, and Azure-based data services.\nDesign workflow orchestration using Azure Data Factory or Microsoft Fabric/Foundry.\nBuild Python-based data services using Pandas, PyTorch, TensorFlow, and related libraries.\nDevelop API endpoints and microservices to support analytics and ML platform interoperability.\nImplement logging, monitoring, performance tuning, and operational reliability.\nCollaborate with data scientists, analysts, architects, and governance teams.\nApply data governance best practices for compliance, reproducibility, and auditability.\n\nSalary Range: $90,000-$115,000\n\nGeneral Description of Benefits\n\nRequirements:\nAbility to obtain agency Public Trust clearance.\n3+ years of experience developing or supporting advanced statistical, machine learning, or data pipeline solutions.\nProficiency in Python, including Pandas.\nStrong SQL skills and experience integrating relational database sources.\nHands-on experience with Azure cloud environments.\nExperience with ETL development using Python and Microsoft technologies.\nExperience with data validation, schema enforcement, and quality assurance.\nFamiliarity with open-source data processing libraries such as NumPy, scikit-learn, PyTorch, or TensorFlow.\n\nReq Benefits:\nBenefits - Everforth ECS","company":"Everforth Ecs","rawCompany":"everforth ecs","city":"Myrtle Point","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-09-28T11:51:26.923Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"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":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Mid-Level Data Engineer","description":"Everforth ECS is seeking a Mid-Level Data Engineer to work remotely.\n\nEverforth ECS is seeking a Mid-Level Data Engineer to support the design, development, and optimization of scalable data pipelines and services for the Consumer Product Safety Commission enterprise data management environment. This role will support advanced analytics, machine learning readiness, and modernization of CPSC's Azure-based data infrastructure.\n\nKey Responsibilities\nDevelop production-grade ETL workflows using Python and Microsoft-based frameworks.\nIngest, transform, and validate structured and unstructured data.\nImplement schema enforcement, data validation, and quality checks.\nSupport Azure Data Lake Storage, Azure SQL, and Azure-based data services.\nDesign workflow orchestration using Azure Data Factory or Microsoft Fabric/Foundry.\nBuild Python-based data services using Pandas, PyTorch, TensorFlow, and related libraries.\nDevelop API endpoints and microservices to support analytics and ML platform interoperability.\nImplement logging, monitoring, performance tuning, and operational reliability.\nCollaborate with data scientists, analysts, architects, and governance teams.\nApply data governance best practices for compliance, reproducibility, and auditability.\n\nSalary Range: $90,000-$115,000\n\nGeneral Description of Benefits\n\nRequirements:\nAbility to obtain agency Public Trust clearance.\n3+ years of experience developing or supporting advanced statistical, machine learning, or data pipeline solutions.\nProficiency in Python, including Pandas.\nStrong SQL skills and experience integrating relational database sources.\nHands-on experience with Azure cloud environments.\nExperience with ETL development using Python and Microsoft technologies.\nExperience with data validation, schema enforcement, and quality assurance.\nFamiliarity with open-source data processing libraries such as NumPy, scikit-learn, PyTorch, or TensorFlow.\n\nReq Benefits:\nBenefits - Everforth ECS","datePosted":"2026-09-28T11:51:26.923Z","dateModified":"2026-09-28T11:51:26.923Z","hiringOrganization":{"@type":"Organization","name":"Everforth Ecs","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Myrtle Point","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"afab4c633e64e9071636c1d4"},"url":"https://jobsearcher.com/jobs/afab4c633e64e9071636c1d4"}}