Saxon Global
Data Engineer (Azure / Databricks)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Azure Data Engineer in Dallas, TX (Hybrid). The 12+ month contract requires 10+ years of data engineering experience, 3+ years with Azure, and expertise in ADF, Databricks, SQL, and Python. Preferred certifications include Azure Data Engineer Associate and Databricks Certified Data Engineer.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
February 10, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
-
🧠 - Skills detailed
#SQL (Structured Query Language) #Data Pipeline #Python #Documentation #Data Warehouse #Databricks #Data Engineering #Version Control #ADF (Azure Data Factory) #Azure Data Factory #"ETL (Extract #Transform #Load)" #Azure Databricks #ADLS (Azure Data Lake Storage) #Data Transformations #GIT #Cloud #Azure cloud #Data Lake #Spark (Apache Spark) #Storage #Azure #Delta Lake #Scala #Azure ADLS (Azure Data Lake Storage) #PySpark
Role description
Job Title: Senior Azure Data Engineer
Location: Dallas, TX (Hybrid – 3 days onsite per week)
Duration: 12+ Months Contract
Core Technical Skills
• 10+ years of overall Data Engineering experience
• 3+ years of hands-on experience with Azure Cloud
• Strong experience with:
• Azure Data Factory (ADF) – pipeline development & orchestration
• Azure Databricks – Spark, Delta Lake, data transformations
• SQL – advanced querying, optimization
• Python / PySpark
• Azure Data Lake Storage (ADLS)
• Experience with:
• CI/CD pipelines
• Git version control
• ETL / ELT processes
• Data warehousing concepts
Certifications (Preferred, Not Mandatory)
• Microsoft Certified: Azure Data Engineer Associate
• Databricks Certified Data Engineer (Associate or Professional)
Key Responsibilities
• Design, build, and maintain scalable Azure data pipelines
• Develop and manage ETL/ELT processes using ADF and Databricks
• Integrate data from multiple enterprise systems
• Optimize data performance and storage
• Build and support data warehouses for analytics and reporting
• Monitor, troubleshoot, and resolve data pipeline issues
• Maintain clear technical documentation
• Stay updated with Azure data engineering best practices
Job Title: Senior Azure Data Engineer
Location: Dallas, TX (Hybrid – 3 days onsite per week)
Duration: 12+ Months Contract
Core Technical Skills
• 10+ years of overall Data Engineering experience
• 3+ years of hands-on experience with Azure Cloud
• Strong experience with:
• Azure Data Factory (ADF) – pipeline development & orchestration
• Azure Databricks – Spark, Delta Lake, data transformations
• SQL – advanced querying, optimization
• Python / PySpark
• Azure Data Lake Storage (ADLS)
• Experience with:
• CI/CD pipelines
• Git version control
• ETL / ELT processes
• Data warehousing concepts
Certifications (Preferred, Not Mandatory)
• Microsoft Certified: Azure Data Engineer Associate
• Databricks Certified Data Engineer (Associate or Professional)
Key Responsibilities
• Design, build, and maintain scalable Azure data pipelines
• Develop and manage ETL/ELT processes using ADF and Databricks
• Integrate data from multiple enterprise systems
• Optimize data performance and storage
• Build and support data warehouses for analytics and reporting
• Monitor, troubleshoot, and resolve data pipeline issues
• Maintain clear technical documentation
• Stay updated with Azure data engineering best practices
