Azure Data Engineer

Required Qualifications Azure Databricks expertise hands-on with Unity Catalog governance, Delta Lake, PySpark, Lakeflow/DLT pipelines, and Databricks Asset Bundles for CI/CD Microsoft Fabric experience lakehouse architecture, OneLake, Data Pipelines/Dataflows, and familiarity with Fabric networking (managed private endpoints, VNet gateways) Strong SQL and Python production-grade pipeline development, dbt experience preferred, with dimensional modeling skills (medallion/Bronze-Silver-Gold pat

Role Summary: Lead the design development and optimization of enterprisescale data platforms and analytics solutions using Azure Databricks Drive data engineering best practices mentor team members and collaborate with business stakeholders to deliver scalable secure and highperformance data solutions This aligns with Chevrons Azurebased Data Analytics ecosystem Key Responsibilities: Lead the development of scalable data pipelines and ETLELT frameworks using Azure Databricks and PySpark Architec

We're seeking an experienced Azure Databricks Lead Engineer to help shape and manage a modern enterprise data platform. This role is ideal for a hands-on data engineer who enjoys building scalable solutions directly in Databricks, leading migration efforts, and driving automation across data workflows. Responsibilities Design, build, and optimize end-to-end data pipelines within Azure Databricks and Delta Lake. Develop solutions using PySpark, SQL, or Scala to support core data transformations

Data Engineer Azure / Databricks / Microsoft FabricLocation: The Woodlands, TX (need Locals) Duration: 6 Months Contract Extension: Possible We are looking for an experiencedData Engineerto join our team for an initial 6-month contract, with the possibility of extension. This role will support data engineering needs across multiple initiatives and help accelerate the delivery of existing project backlogs. Key Responsibilities & Skills Develop and support scalable data pipelines usingAzure Datab