Title: Azure Data Engineer 6 Month Contract Location - Dallas –– Must be local Work Authorization: GC EAD/GC/USC/H4 EAD/L2 Tax Terms: W2/1099 Interview - In-person interview Client - Banking Role: Azure Data Engineer with strong development experience in Python and containerized environments. You'll be building modular ETL pipelines using APIs and SQL in an Azure-native setup, with a strong focus on data governance, secure service account usage, and automation. This role is perfect for someone passionate about scalable architecture and responsible data practices. Qualifications 1. 5+ years of hands-on experience in data engineering with Python development 1. Strong in: • Python (ETL scripting, logging, error handling) • SQL development and performance tuning • Azure ecosystem: AKS, Blob, Key Vault, Service Principles, Azure Monitor, etc. • REST APIs and ingestion from diverse sources • Docker and container lifecycle management • Service account management and data security enforcement • Familiar with Terraform, Git, and modern CI/CD best practices • Understanding of data governance, PII/PCI classification, and compliance (SOX, GDPR, etc.) Nice-to-Haves • Experience with Microsoft Purview for cataloging and classification • Exposure to Power BI data lineage, report-level security Key Responsibilities • Design and implement data ingestion pipelines using Python targeting JDBC/ODBC/API/Batch sources • Create and orchestrate Apache Airflow DAGs using modular/factory-based patterns • Build containerized solutions using Docker, with local dev setups and AKS-based deployment strategies • Work with SQL Server (MI) to extract metadata, define classifications, and manage access control • Use Microsoft Purview for classification, tagging, and metadata management • Configure and manage Azure resources (Blob Storage, Key Vault, Azure Monitor, Functions, AKS) • Develop and deploy using CI/CD pipelines via Azure DevOps • Apply access controls using service accounts, adhering to minimum privilege principles and masking policies • Analyze audit logs and build dashboards for usage tracking and masking compliance • Write reusable code and documentation to support automation and knowledge transfer