Azure Databricks Data Engineer (Python, PySpark, SQL)-5
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a contract position for an Azure Databricks Data Engineer, requiring 8+ years of IT experience, with 4+ years in Azure Databricks. Key skills include Python, PySpark, SQL, and experience in Agile environments. Pay rate and location are unspecified.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
-
🗓️ - Date discovered
August 30, 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
#Python #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Delta Lake #Azure #Agile #Debugging #Cloud #Data Extraction #Azure Databricks #Data Pipeline #Business Analysis #Complex Queries #Spark SQL #Databricks #Scala #Synapse #Data Lake #Data Engineering #SQL Queries #Spark (Apache Spark) #Azure cloud #PySpark #DevOps #Scrum #Data Governance
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
