Azure Databricks Data Engineer (Python, PySpark, SQL)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a contract position for an Azure Databricks Data Engineer (Python, PySpark, SQL) with a pay rate of "unknown". Candidates should have 8+ years of IT experience, including 4+ years specifically in Azure Databricks, and strong skills in ETL and SQL.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
-
🗓️ - Date discovered
August 23, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Pennsylvania
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🧠 - Skills detailed
#Business Analysis #Data Extraction #Data Pipeline #Data Engineering #Debugging #SQL Queries #Cloud #Azure #SQL (Structured Query Language) #Data Lake #DevOps #PySpark #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #Scrum #Python #Azure Databricks #Databricks #Delta Lake #Azure cloud #Complex Queries #Spark SQL #Agile #Scala #Data Governance #Synapse
Role description
Job Type: Contract
Job Category: IT
Job Description
Job Title: Azure Databricks Data Engineer (Python, PySpark, SQL) Contract
For H1B, PP is mandatory.
Job Description: We are seeking an experienced Azure Databricks Developer with strong expertise in Python, PySpark, and SQL. The ideal candidate will design, develop, and optimize large-scale data pipelines and analytics solutions on Azure Cloud.
Responsibilities:
Develop, maintain, and optimize scalable ETL pipelines using Azure Databricks
Work with Python and PySpark to process and transform structured/unstructured data
Write efficient SQL queries for data extraction, transformation, and reporting
Collaborate with data engineers, architects, and business analysts to deliver high-quality data solutions
Implement best practices for performance optimization and data governance
Work in Agile/Scrum environment
Required Skills:
Strong hands-on experience with Azure Databricks
Proficiency in Python & PySpark
Advanced knowledge of SQL (writing complex queries, performance tuning)
Experience with Azure Data Lake, Delta Lake, Synapse (nice to have)
Strong problem-solving and debugging skills
Experience:
8+ years overall IT experience, with at least 4+ years in Azure Databricks.
Required Skills DevOps Engineer
Job Type: Contract
Job Category: IT
Job Description
Job Title: Azure Databricks Data Engineer (Python, PySpark, SQL) Contract
For H1B, PP is mandatory.
Job Description: We are seeking an experienced Azure Databricks Developer with strong expertise in Python, PySpark, and SQL. The ideal candidate will design, develop, and optimize large-scale data pipelines and analytics solutions on Azure Cloud.
Responsibilities:
Develop, maintain, and optimize scalable ETL pipelines using Azure Databricks
Work with Python and PySpark to process and transform structured/unstructured data
Write efficient SQL queries for data extraction, transformation, and reporting
Collaborate with data engineers, architects, and business analysts to deliver high-quality data solutions
Implement best practices for performance optimization and data governance
Work in Agile/Scrum environment
Required Skills:
Strong hands-on experience with Azure Databricks
Proficiency in Python & PySpark
Advanced knowledge of SQL (writing complex queries, performance tuning)
Experience with Azure Data Lake, Delta Lake, Synapse (nice to have)
Strong problem-solving and debugging skills
Experience:
8+ years overall IT experience, with at least 4+ years in Azure Databricks.
Required Skills DevOps Engineer
