Azure Data Engineer

Azure Data Engineer

• Contract: 1+ year
• Hybrid: 2-3 Days / Week
• Locations: Bentonville, AR or Little Rock, AR 
• Client also has other lcoations like - Dallas area, Nashville, Oklahoma City and Kansas City. 
• Open on c2c or w2

Azure Data Engineer (Python & Azure)

We are looking for an Azure Data Engineer with strong Python development and containerization experience to build scalable, cloud-native data solutions. The ideal candidate will have expertise in Azure services, ETL pipeline development, automation, and data governance.

Key Responsibilities

• Develop Python-based ETL pipelines integrating data from APIs, JDBC/ODBC, and batch sources.
• Build and manage Apache Airflow DAGs using reusable, modular frameworks.
• Design and deploy containerized solutions with Docker and AKS.
• Work with Azure SQL Managed Instance to manage metadata, classifications, and access controls.
• Implement data governance using Microsoft Purview for cataloging, tagging, and lineage.
• Configure Azure services including Blob Storage, Key Vault, Azure Monitor, Functions, and AKS.
• Develop CI/CD pipelines using Azure DevOps.
• Enforce security through service accounts, least-privilege access, and data masking policies.
• Analyze audit logs and develop reporting for usage and compliance monitoring.
• Create reusable code, documentation, and automation standards.

Required Qualifications

• 5+ years of Data Engineering experience with strong Python development skills.
• Hands-on experience with:
  • Python, ETL development, logging, and error handling
  • SQL development and performance tuning
  • Azure services (AKS, Blob Storage, Key Vault, Azure Monitor, Service Principals, Azure Functions)
  • REST APIs and multi-source data ingestion
  • Docker and container lifecycle management
  • Service account management and data security
  • Terraform, Git, and CI/CD best practices
  • Data governance, PII/PCI classification, and compliance standards (SOX, GDPR, etc.)

Preferred Skills

• Microsoft Purview for data cataloging and classification.
• Power BI data lineage and report-level security experience.
• AI enthusiast.