Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required
Skills
Azure
Data Engineering
python
ETL
SQL
Azure DevOps
API
Microsoft Azure
Job Details
Azure Data Engineer
Location: Dallas or Little Rock - Onsite
Duration: Long Term Contract
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.
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
Qualifications
5+ years of hands-on experience in data engineering with Python development
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.