{"schemaVersion":"jobsearcher.job.v1","id":"ebddfb2f5dff82b82da22721","url":"https://jobsearcher.com/jobs/ebddfb2f5dff82b82da22721","canonicalUrl":"https://jobsearcher.com/jobs/ebddfb2f5dff82b82da22721","title":"Azure Data Engineer","description":"Azure Data Engineer Location: Minneapolis, MN – HybridEmployment Type: W2 OnlyExperience: 6+ YearsJob SummaryWe are seeking an experienced Azure Data Engineer with strong hands-on expertise in Azure Databricks, PySpark, Python, SQL, and Azure data services.The ideal candidate will have experience building large-scale data pipelines, working with high-volume datasets, and developing cloud-based data platforms using modern Azure and Databricks technologies.Candidates must be able to work on our W2 and be available to work hybrid in Minneapolis, MN.ResponsibilitiesDesign, develop, and maintain scalable data pipelines on Microsoft Azure.Build ETL/ELT solutions using Azure Databricks, PySpark, Python, and SQL.Develop and optimize Spark-based data processing workflows.Build and support pipelines using Azure Data Factory.Work with ADLS Gen2, Delta Lake, Azure Synapse, and Azure SQL.Design and implement data lake and lakehouse solutions.Optimize Databricks clusters and Spark jobs for performance and scalability.Develop batch and streaming data pipelines.Implement data quality, monitoring, logging, and error-handling processes.Support CI/CD and automated deployments for data engineering workloads.Collaborate with data architects, analytics teams, and application teams.Qualifications6+ years of experience in Data Engineering.Strong hands-on experience with Azure Databricks.Strong experience with PySpark, Apache Spark, Python, and SQL.Experience with Azure Data Factory (ADF).Experience with ADLS Gen2 and Delta Lake.Strong understanding of ETL/ELT architecture and large-scale data processing.Experience working with data warehousing and dimensional data models.Experience troubleshooting and optimizing Spark and Databricks workloads.Experience with Git and CI/CD practices.Experience working in Agile development environments.Strong communication and problem-solving skills.Experience with Unity Catalog, Databricks Workflows, Delta Live Tables, Structured Streaming, Event Hubs/Kafka, Azure Synapse, Terraform, or Azure DevOps would be an added advantage.Please note: This is a W2-only position and requires a hybrid presence in Minneapolis, MN.","company":"Techvy","rawCompany":"techvy","city":"Minneapolis","state":"MN","isRemote":false,"isActive":false,"createdAt":"2026-08-25T11:29:26.950Z","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":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Azure Data Engineer","description":"Azure Data Engineer Location: Minneapolis, MN – HybridEmployment Type: W2 OnlyExperience: 6+ YearsJob SummaryWe are seeking an experienced Azure Data Engineer with strong hands-on expertise in Azure Databricks, PySpark, Python, SQL, and Azure data services.The ideal candidate will have experience building large-scale data pipelines, working with high-volume datasets, and developing cloud-based data platforms using modern Azure and Databricks technologies.Candidates must be able to work on our W2 and be available to work hybrid in Minneapolis, MN.ResponsibilitiesDesign, develop, and maintain scalable data pipelines on Microsoft Azure.Build ETL/ELT solutions using Azure Databricks, PySpark, Python, and SQL.Develop and optimize Spark-based data processing workflows.Build and support pipelines using Azure Data Factory.Work with ADLS Gen2, Delta Lake, Azure Synapse, and Azure SQL.Design and implement data lake and lakehouse solutions.Optimize Databricks clusters and Spark jobs for performance and scalability.Develop batch and streaming data pipelines.Implement data quality, monitoring, logging, and error-handling processes.Support CI/CD and automated deployments for data engineering workloads.Collaborate with data architects, analytics teams, and application teams.Qualifications6+ years of experience in Data Engineering.Strong hands-on experience with Azure Databricks.Strong experience with PySpark, Apache Spark, Python, and SQL.Experience with Azure Data Factory (ADF).Experience with ADLS Gen2 and Delta Lake.Strong understanding of ETL/ELT architecture and large-scale data processing.Experience working with data warehousing and dimensional data models.Experience troubleshooting and optimizing Spark and Databricks workloads.Experience with Git and CI/CD practices.Experience working in Agile development environments.Strong communication and problem-solving skills.Experience with Unity Catalog, Databricks Workflows, Delta Live Tables, Structured Streaming, Event Hubs/Kafka, Azure Synapse, Terraform, or Azure DevOps would be an added advantage.Please note: This is a W2-only position and requires a hybrid presence in Minneapolis, MN.","datePosted":"2026-08-25T11:29:26.950Z","dateModified":"2026-08-25T11:29:26.950Z","hiringOrganization":{"@type":"Organization","name":"Techvy","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Minneapolis","addressRegion":"MN","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ebddfb2f5dff82b82da22721"},"url":"https://jobsearcher.com/jobs/ebddfb2f5dff82b82da22721"}}