Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a long-term W2 contract in San Jose, CA, requiring onsite work 3 days a week. Key skills include Python, Hadoop ecosystem, ETL, and Unix/Linux shell scripting.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date discovered
August 6, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
San Jose, CA
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🧠 - Skills detailed
#Data Engineering #Scripting #Shell Scripting #Programming #Spark (Apache Spark) #Spark SQL #"ETL (Extract #Transform #Load)" #HDFS (Hadoop Distributed File System) #Scala #Automation #Big Data #Data Pipeline #Data Processing #Linux #Python #SQL (Structured Query Language) #Unix #Hadoop
Role description
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Job Description:
We are seeking a skilled Data Engineer with expertise in Big Data technologies to join our client team in San Jose, CA. This role requires a long-term W2 contract and onsite presence 3 days per week.
Key Responsibilities:
• Design, develop, and maintain scalable data pipelines and ETL workflows.
• Work extensively with Big Data technologies including Hadoop, HDFS, Hive, and Spark SQL.
• Develop and optimize Python scripts for data processing and automation.
• Write and maintain Unix/Linux shell scripts for data workflows and automation.
• Collaborate with cross-functional teams to support data-driven decision making.
Required Skills:
• Strong experience in Python programming.
• Proficient with Hadoop ecosystem: Hadoop, HDFS, Hive, Spark SQL.
• Solid understanding of Unix/Linux operating systems and shell scripting.
• Extensive ETL experience
• Ability to work onsite in San Jose, CA at least 3 days per week.
