Sr. Azure Data Engineer :: Hybrid Need Locals Only--TX/MO/AR/OK/TN:: Only W2 Position No C2C

Job Title: Azure Data Engineer Duration: 12 Months Start: Early to Mid-August Location: Hybrid – Dallas/Frisco, TX, Little Rock, NW Arkansas (Preferred) | St. Louis, Nashville, Oklahoma City, Kansas City Job Description We are looking for a seasoned Azure Data Engineer with strong Python development experience to build scalable, secure, and automated data pipelines in an Azure-native environment. The ideal candidate will have hands-on expertise in ETL development, containerized applications, cloud technologies, and data governance. Experience in the Banking/Financial Services domain is highly preferred. Required Skills • Strong experience with Azure Cloud Data Platform • Proficiency in Python and SQL • Experience building ETL pipelines using REST APIs, JDBC/ODBC, and batch processing • Hands-on experience with Docker, AKS, and Azure services (Blob Storage, Key Vault, Azure Monitor, Azure Functions) • Experience with Azure DevOps, CI/CD, Git, and Terraform • Knowledge of data governance, PII/PCI compliance, and secure service account management • Strong understanding of SQL performance tuning and data engineering best practices Preferred Skills • PySpark • DBT • Azure Fabric • Microsoft Purview • Apache Airflow • Banking/Financial Services experience • Exposure to AI/ML technologies with a passion for learning and innovation Key Responsibilities • Design and develop scalable ETL/data ingestion pipelines using Python • Build and orchestrate workflows using Apache Airflow • Develop containerized solutions with Docker and deploy on AKS • Configure and manage Azure cloud resources • Implement CI/CD pipelines using Azure DevOps • Ensure data security, governance, compliance, and access control • Monitor, troubleshoot, and optimize data pipelines and platform performance