Job Title: Azure Data Engineer Location: Durham, NC (3 Days Hybrid) Job Type: Full-Time Job Description: We are seeking a highly skilled Azure Data Engineer to join our data engineering team in Minneapolis, MN. This hybrid role requires collaborating with cross-functional teams to build scalable data pipelines and deploy robust Azure-based data solutions. The ideal candidate will have strong experience in Azure Data Factory, Databricks, and Azure Data Lake, with proven ability to build and optimize real-time and batch data pipelines. Responsibilities: Build large-scale batch and real-time data pipelines using Azure cloud platform technologies. Design and implement high-performance data ingestion pipelines from multiple structured and unstructured sources using Azure Databricks. Lead the design and development of ETL, data integration, and migration solutions. Develop scalable and reusable frameworks for ingestion, processing, and transformation of data sets. Partner with data architects, analysts, engineers, and stakeholders to deploy enterprise-grade data platforms. Integrate end-to-end data pipelines - from source systems to target data repositories - ensuring high data quality, reliability, and consistency. Work with event-driven and streaming technologies for real-time data ingestion and processing. Support related project components including API integrations and search services. Evaluate tools and platforms based on performance and business requirements. Required Skills: Azure Data Factory Azure Databricks Azure Data Lake Storage (ADLS) Azure SQL Database and Data Warehouse Proven hands-on expertise in: Implementing and optimizing Azure cloud data solutions Performance tuning in the Databricks environment SQL, T-SQL, and/or PL/SQL Working knowledge of: Azure Storage Accounts Azure Data Catalog, Azure Data Analytics Logic Apps and Function Apps Familiarity with Agile methodology and tools like JIRA Experience handling end-to-end data ingestion projects in an Azure environment is preferred Follow us on LinkedIn -