{"schemaVersion":"jobsearcher.job.v1","id":"aba6b5604958cc5e8d74a17d","url":"https://jobsearcher.com/jobs/aba6b5604958cc5e8d74a17d","canonicalUrl":"https://jobsearcher.com/jobs/aba6b5604958cc5e8d74a17d","title":"Azure Data Engineer (Remote/W2)","description":"Role: Azure Data EngineerLocation: RemoteJob SummaryWe are seeking a highly skilled Azure Data Engineer with strong expertise in Databricks, Azure data services, and modern data engineering practices. The ideal candidate will have hands-on experience designing, building, and optimizing scalable data pipelines and enterprise-grade lakehouse architectures in hybrid cloud environments.Key ResponsibilitiesDesign, build, and orchestrate scalable data pipelines using Azure-native services.Develop and optimize batch and near real-time data processing solutions using Spark and Databricks.Implement and manage enterprise-grade Lakehouse architectures (Medallion architecture).Perform data processing, validation, and automation using Python (PySpark, Pandas, NumPy).Optimize performance of large-scale data systems, including Spark tuning and query optimization.Work with CDC (Change Data Capture) pipelines and large-volume data ingestion.Collaborate with cross-functional teams to deliver secure, scalable, and high-performance data platforms.Implement CI/CD pipelines and DevOps best practices for data engineering workflows.Required Skills & ExperienceStrong experience with Azure Databricks, including notebooks, clusters, and Delta Lake.Hands-on expertise in Azure Data Factory (ADF) and pipeline orchestration.Proficiency in Python (PySpark, Pandas, NumPy) and SQL.Experience with Spark SQL, performance tuning, and distributed data processing.Solid understanding of Azure ecosystem: ADLS, Synapse Analytics, Azure Functions, Event Grid, Key Vault, Purview.Must have Experience with Tableau and Power BIKnowledge of dimensional data modeling and analytics solutions.","company":"Highbrow Technology","rawCompany":"highbrow technology","isRemote":true,"isActive":false,"createdAt":"2026-07-23T13:45:36.039Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-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":"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":"Azure Data Engineer (Remote/W2)","description":"Role: Azure Data EngineerLocation: RemoteJob SummaryWe are seeking a highly skilled Azure Data Engineer with strong expertise in Databricks, Azure data services, and modern data engineering practices. The ideal candidate will have hands-on experience designing, building, and optimizing scalable data pipelines and enterprise-grade lakehouse architectures in hybrid cloud environments.Key ResponsibilitiesDesign, build, and orchestrate scalable data pipelines using Azure-native services.Develop and optimize batch and near real-time data processing solutions using Spark and Databricks.Implement and manage enterprise-grade Lakehouse architectures (Medallion architecture).Perform data processing, validation, and automation using Python (PySpark, Pandas, NumPy).Optimize performance of large-scale data systems, including Spark tuning and query optimization.Work with CDC (Change Data Capture) pipelines and large-volume data ingestion.Collaborate with cross-functional teams to deliver secure, scalable, and high-performance data platforms.Implement CI/CD pipelines and DevOps best practices for data engineering workflows.Required Skills & ExperienceStrong experience with Azure Databricks, including notebooks, clusters, and Delta Lake.Hands-on expertise in Azure Data Factory (ADF) and pipeline orchestration.Proficiency in Python (PySpark, Pandas, NumPy) and SQL.Experience with Spark SQL, performance tuning, and distributed data processing.Solid understanding of Azure ecosystem: ADLS, Synapse Analytics, Azure Functions, Event Grid, Key Vault, Purview.Must have Experience with Tableau and Power BIKnowledge of dimensional data modeling and analytics solutions.","datePosted":"2026-07-23T13:45:36.039Z","dateModified":"2026-07-23T13:45:36.039Z","hiringOrganization":{"@type":"Organization","name":"Highbrow Technology","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"aba6b5604958cc5e8d74a17d"},"url":"https://jobsearcher.com/jobs/aba6b5604958cc5e8d74a17d"}}