{"schemaVersion":"jobsearcher.job.v1","id":"4bfd56af1664994def9307e2","url":"https://jobsearcher.com/jobs/4bfd56af1664994def9307e2","canonicalUrl":"https://jobsearcher.com/jobs/4bfd56af1664994def9307e2","title":"Data Engineer, Analytics","description":"Location: Onsite in Oakbrook Terrace, IL\r\nOverview Our Client is seeking a mid-level Data Engineer is responsible for designing, building, and maintaining the data infrastructure and pipelines that enable efficient data processing, storage, and analysis within a hybrid computing environment. This role bridges the gap between data collection and data consumption across both high-performance computing (HPC) servers and Azure cloud platforms, ensuring that data is accessible, reliable, and optimized for analytics, machine learning, and business intelligence purposes.\r\nResponsibilities Design, develop, and implement scalable data pipelines using modern ETL/ELT frameworks and tools in hybrid environments\r\nCreate and maintain data architectures that span high-performance computing servers and Azure cloud services\r\nBuild robust data integration solutions to connect various data sources across on-premises and cloud systems\r\nConfigure and optimize databases and data stores in both UNIX/Linux environments and cloud platforms\r\nImplement MLOps practices to support the machine learning lifecycle from development to production\r\nDesign and implement modern data flow architectures that support both batch and real-time processing needs\r\nApply performance tuning techniques for high-volume data processing in HPC environments\r\nCollaborate with data scientists, ML engineers, and business stakeholders to understand data requirements\r\nDevelop and maintain documentation for data infrastructure, pipelines, and workflows\r\nImplement data quality monitoring and validation across hybrid environments\r\nMentor junior data engineers on best practices for hybrid cloud/on-premises architectures\r\nRequired Skills & Experience Bachelor's degree in Computer Science, Information Systems, or related technical field\r\nRelevant certifications in Azure, data technologies, or HPC administration\r\n3-5 years of experience in data engineering or related field\r\nStrong UNIX/Linux administration skills and command-line proficiency\r\nExperience with high-performance computing environments and workload management\r\nProficiency in SQL and experience with major database systems (PostgreSQL, SQL Server, Oracle, MySQL)\r\nHands-on experience with Azure cloud data services (Azure Data Factory, Synapse Analytics, Azure SQL)\r\nKnowledge of modern data flow architectures (Lambda, Kappa, Delta) and implementation patterns\r\nExperience with ML flow frameworks and ML lifecycle management tools\r\nProgramming skills in Python and shell scripting for automation and data processing\r\nFamiliarity with containerization (Docker) and orchestration (Kubernetes)\r\nExperience with data processing frameworks (Spark, Databricks, Azure Batch)\r\nUnderstanding of networking concepts for data movement between on-premises and cloud\r\nPreferred Skills & Experiment Experience with real-time data processing and streaming technologies (Kafka, Event Hubs)\r\nKnowledge of infrastructure-as-code tools (Terraform, ARM templates)\r\nExperience with distributed file systems (HDFS, Lustre) and object storage\r\nFamiliarity with graph databases and specialized analytics datastores\r\nUnderstanding of data governance, security, and compliance requirements across hybrid environments\r\nExperience with optimization techniques for large-scale data transfers between systems\r\nKnowledge of GPU acceleration for data processing pipelines\r\nBackground in implementing CI/CD for data solutions\r\nJ-18808-Ljbffr","company":"NTech Workforce","rawCompany":"ntech workforce","city":"Oakbrook Terrace","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:30:14.072Z","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":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer, Analytics","description":"Location: Onsite in Oakbrook Terrace, IL\r\nOverview Our Client is seeking a mid-level Data Engineer is responsible for designing, building, and maintaining the data infrastructure and pipelines that enable efficient data processing, storage, and analysis within a hybrid computing environment. This role bridges the gap between data collection and data consumption across both high-performance computing (HPC) servers and Azure cloud platforms, ensuring that data is accessible, reliable, and optimized for analytics, machine learning, and business intelligence purposes.\r\nResponsibilities Design, develop, and implement scalable data pipelines using modern ETL/ELT frameworks and tools in hybrid environments\r\nCreate and maintain data architectures that span high-performance computing servers and Azure cloud services\r\nBuild robust data integration solutions to connect various data sources across on-premises and cloud systems\r\nConfigure and optimize databases and data stores in both UNIX/Linux environments and cloud platforms\r\nImplement MLOps practices to support the machine learning lifecycle from development to production\r\nDesign and implement modern data flow architectures that support both batch and real-time processing needs\r\nApply performance tuning techniques for high-volume data processing in HPC environments\r\nCollaborate with data scientists, ML engineers, and business stakeholders to understand data requirements\r\nDevelop and maintain documentation for data infrastructure, pipelines, and workflows\r\nImplement data quality monitoring and validation across hybrid environments\r\nMentor junior data engineers on best practices for hybrid cloud/on-premises architectures\r\nRequired Skills & Experience Bachelor's degree in Computer Science, Information Systems, or related technical field\r\nRelevant certifications in Azure, data technologies, or HPC administration\r\n3-5 years of experience in data engineering or related field\r\nStrong UNIX/Linux administration skills and command-line proficiency\r\nExperience with high-performance computing environments and workload management\r\nProficiency in SQL and experience with major database systems (PostgreSQL, SQL Server, Oracle, MySQL)\r\nHands-on experience with Azure cloud data services (Azure Data Factory, Synapse Analytics, Azure SQL)\r\nKnowledge of modern data flow architectures (Lambda, Kappa, Delta) and implementation patterns\r\nExperience with ML flow frameworks and ML lifecycle management tools\r\nProgramming skills in Python and shell scripting for automation and data processing\r\nFamiliarity with containerization (Docker) and orchestration (Kubernetes)\r\nExperience with data processing frameworks (Spark, Databricks, Azure Batch)\r\nUnderstanding of networking concepts for data movement between on-premises and cloud\r\nPreferred Skills & Experiment Experience with real-time data processing and streaming technologies (Kafka, Event Hubs)\r\nKnowledge of infrastructure-as-code tools (Terraform, ARM templates)\r\nExperience with distributed file systems (HDFS, Lustre) and object storage\r\nFamiliarity with graph databases and specialized analytics datastores\r\nUnderstanding of data governance, security, and compliance requirements across hybrid environments\r\nExperience with optimization techniques for large-scale data transfers between systems\r\nKnowledge of GPU acceleration for data processing pipelines\r\nBackground in implementing CI/CD for data solutions\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:30:14.072Z","dateModified":"2026-08-08T01:30:14.072Z","hiringOrganization":{"@type":"Organization","name":"NTech Workforce","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Oakbrook Terrace","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4bfd56af1664994def9307e2"},"url":"https://jobsearcher.com/jobs/4bfd56af1664994def9307e2"}}