

Azure Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer on a 6+ month contract, onsite in Dallas, TX, or Little Rock, AR, offering $60-$70/hr. Requires 5+ years in data engineering, strong Python and SQL skills, and Azure ecosystem experience.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
560
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ποΈ - Date discovered
July 18, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
1099 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Dallas, TX
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π§ - Skills detailed
#Deployment #JDBC (Java Database Connectivity) #API (Application Programming Interface) #Metadata #Compliance #Data Engineering #ODBC (Open Database Connectivity) #Data Management #PCI (Payment Card Industry) #Data Security #SQL Server #Logging #Python #Vault #Classification #Airflow #Apache Airflow #Terraform #Data Ingestion #REST API #Azure DevOps #Microsoft Power BI #Azure #Security #Docker #Scripting #GIT #Storage #REST (Representational State Transfer) #Data Governance #Data Lineage #Batch #DevOps #SQL (Structured Query Language) #Scala #"ETL (Extract #Transform #Load)" #BI (Business Intelligence) #Automation #GDPR (General Data Protection Regulation) #Documentation
Role description
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Azure data Engineer
β’ 6 month + contract
β’ Onsite in office in Dallas TX , OR Little Rock, Arkansas
β’ In-person interview
β’ Client is a mid sized well renowned bank
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.
πΌ Qualifications
1. 5+ years of hands-on experience in data engineering with Python development
1. Strong in:
β’ Python (ETL scripting, logging, error handling)
β’ SQL development and performance tuning
β’ Azure ecosystem: AKS, Blob, Key Vault, Service Principles, Azure Monitor, etc.
β’ REST APIs and ingestion from diverse sources
β’ Docker and container lifecycle management
β’ Service account management and data security enforcement
β’ Familiar with Terraform, Git, and modern CI/CD best practices
β’ Understanding of data governance, PII/PCI classification, and compliance (SOX, GDPR, etc.)
π Nice-to-Haves
β’ Experience with Microsoft Purview for cataloging and classification
β’ Exposure to Power BI data lineage, report-level security
π§ Key Responsibilities
β’ Design and implement data ingestion pipelines using Python targeting JDBC/ODBC/API/Batch sources
β’ Create and orchestrate Apache Airflow DAGs using modular/factory-based patterns
β’ Build containerized solutions using Docker, with local dev setups and AKS-based deployment strategies
β’ Work with SQL Server (MI) to extract metadata, define classifications, and manage access control
β’ Use Microsoft Purview for classification, tagging, and metadata management
β’ Configure and manage Azure resources (Blob Storage, Key Vault, Azure Monitor, Functions, AKS)
β’ Develop and deploy using CI/CD pipelines via Azure DevOps
β’ Apply access controls using service accounts, adhering to minimum privilege principles and masking policies
β’ Analyze audit logs and build dashboards for usage tracking and masking compliance
β’ Write reusable code and documentation to support automation and knowledge transfer
The anticipated hourly rate range for this position is ($60-$70/hr). Actual hourly rate will be based on a variety of factors including relevant experience, knowledge, skills and other factors permitted by law. A range of medical, dental, retirement and/or other benefits are available after a waiting period.