Talent Groups
Azure Databricks Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Databricks Data Engineer on a contract basis, requiring 8+ years of data engineering experience, expertise in Azure Data Factory, Databricks, Python, and strong SQL skills. Remote work location.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
May 21, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Azure Databricks #Cloud #"ETL (Extract #Transform #Load)" #ADLS (Azure Data Lake Storage) #Data Integration #Databricks #Azure Data Factory #PySpark #Azure SQL #DevOps #Synapse #Spark (Apache Spark) #Python #ADF (Azure Data Factory) #Azure cloud #SQL (Structured Query Language) #Azure #Data Engineering #GIT #Data Orchestration
Role description
Role: Azure Databricks Data Engineer
Location: Remote
Duration: Contract
Job Description
We are looking for an experienced Azure Databricks Data Engineer with 8+ years of experience in data engineering, data integration, and cloud-based data orchestration. The ideal candidate should have strong expertise in Azure Data Factory (ADF), Azure Databricks, Python, and modern ETL/ELT frameworks.
Required Skills
• 8+ years of experience in Data Engineering and Data Integration.
• Strong hands-on experience with Azure Databricks.
• Expertise in Azure Data Factory (ADF).
• Proficiency in Python and PySpark.
• Strong SQL and database knowledge.
• Experience in ETL/ELT pipeline development.
• Experience with data orchestration and workflow management.
• Knowledge of Azure cloud services such as ADLS, Synapse, Azure SQL, and Event Hub.
• Understanding of CI/CD, Git, and DevOps practices.
• Strong analytical and problem-solving skills.
Role: Azure Databricks Data Engineer
Location: Remote
Duration: Contract
Job Description
We are looking for an experienced Azure Databricks Data Engineer with 8+ years of experience in data engineering, data integration, and cloud-based data orchestration. The ideal candidate should have strong expertise in Azure Data Factory (ADF), Azure Databricks, Python, and modern ETL/ELT frameworks.
Required Skills
• 8+ years of experience in Data Engineering and Data Integration.
• Strong hands-on experience with Azure Databricks.
• Expertise in Azure Data Factory (ADF).
• Proficiency in Python and PySpark.
• Strong SQL and database knowledge.
• Experience in ETL/ELT pipeline development.
• Experience with data orchestration and workflow management.
• Knowledge of Azure cloud services such as ADLS, Synapse, Azure SQL, and Event Hub.
• Understanding of CI/CD, Git, and DevOps practices.
• Strong analytical and problem-solving skills.
