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Signature IT World Inc

Spark Scala Data Engineer

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This role is for a Spark Scala Data Engineer with 8+ years of experience, offering a contract in Sunnyvale, CA or Austin, TX. Key skills include Scala, Apache Spark, SQL, and ETL pipeline development. Onsite work required.

🌎 - Country

United States

💱 - Currency

$ USD

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💰 - Day rate

Unknown

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🗓️ - Date

June 17, 2026

🕒 - Duration

Unknown

-

🏝️ - Location

On-site

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📄 - Contract

W2 Contractor

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🔒 - Security

Unknown

-

📍 - Location detailed

Austin, Texas Metropolitan Area

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🧠 - Skills detailed

#"ETL (Extract #Transform #Load)" #Data Processing #Spark (Apache Spark) #Data Pipeline #Scala #Data Engineering #SQL (Structured Query Language) #Apache Spark #Datasets

Role description

Job Description Role: Spark Scala Data Engineer Experience: 8+ Year of Experience Type: Contract - C2C / W2 Location : Sunnyvale CA or Austin TX - 5 days Onsite Mode of interview - Face To Face interview Requirements • Strong experience in Scala and Apache Spark • Hands-on experience with large-scale data processing and ETL pipelines • Strong SQL skills • Experience with distributed systems and performance optimization • Ability to troubleshoot and optimize data workflows Responsibilities • Develop and maintain Spark-based data pipelines • Process and analyze large datasets • Optimize performance and data processing efficiency • Work with cross-functional teams to deliver data solutions

Job Description Role: Spark Scala Data Engineer Experience: 8+ Year of Experience Type: Contract - C2C / W2 Location : Sunnyvale CA or Austin TX - 5 days Onsite Mode of interview - Face To Face interview Requirements • Strong experience in Scala and Apache Spark • Hands-on experience with large-scale data processing and ETL pipelines • Strong SQL skills • Experience with distributed systems and performance optimization • Ability to troubleshoot and optimize data workflows Responsibilities • Develop and maintain Spark-based data pipelines • Process and analyze large datasets • Optimize performance and data processing efficiency • Work with cross-functional teams to deliver data solutions

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