Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with 7 years of experience, focusing on Databricks, Apache Spark, Azure, and ETL. Contract length is W2 or Individual C2C. Key skills include advanced SQL, Unix Shell scripting, and financial data domain experience.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
576
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🗓️ - Date discovered
August 21, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
New York City Metropolitan Area
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🧠 - Skills detailed
#Datasets #ADF (Azure Data Factory) #Data Engineering #"ETL (Extract #Transform #Load)" #Synapse #Data Modeling #SQL (Structured Query Language) #HiveQL #Microsoft Azure #Databricks #Shell Scripting #Azure Data Factory #Scripting #Spark (Apache Spark) #Azure #Compliance #Unix #Automation #Apache Spark
Role description
• No Third Party Recruiters Please
• No Visa transfer available
W2 contract only or Individual C2C
Who we’re looking for:
Senior Data Engineer with 7 years of experience and strong hands-on expertise in Databricks, Apache Spark, Azure, and ETL.
Must-have skills:
• 5+ years of experience in Data Engineering or Software Engineering
Proven hands-on experience with:
• Apache Spark
• Hive
• Databricks
• Strong background in ETL processes and data modeling
• Solid experience with Microsoft Azure, including:
• Azure Data Factory
• Synapse Analytics
• Advanced SQL and/or HiveQL for working with large datasets
• Proficiency with Unix Shell scripting for workflow automation
• Experience with financial data domains and compliance requirements
• No Third Party Recruiters Please
• No Visa transfer available
W2 contract only or Individual C2C
Who we’re looking for:
Senior Data Engineer with 7 years of experience and strong hands-on expertise in Databricks, Apache Spark, Azure, and ETL.
Must-have skills:
• 5+ years of experience in Data Engineering or Software Engineering
Proven hands-on experience with:
• Apache Spark
• Hive
• Databricks
• Strong background in ETL processes and data modeling
• Solid experience with Microsoft Azure, including:
• Azure Data Factory
• Synapse Analytics
• Advanced SQL and/or HiveQL for working with large datasets
• Proficiency with Unix Shell scripting for workflow automation
• Experience with financial data domains and compliance requirements
