AWS Data Engineer ( 3851 )
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer in Torrance, CA, offering an 18+ month contract at W2 pay. Requires a Bachelor's degree, 4-6+ years in data engineering, and 5+ years with AWS tools, PySpark, and Python.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 3, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Torrance, CA
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🧠 - Skills detailed
#AWS (Amazon Web Services) #Apache Spark #Spark (Apache Spark) #Data Processing #"ETL (Extract #Transform #Load)" #PySpark #Database Design #Data Integration #Athena #RDS (Amazon Relational Database Service) #Programming #S3 (Amazon Simple Storage Service) #Computer Science #Lambda (AWS Lambda) #Datasets #Data Engineering #Redshift #AWS Glue #Python
Role description
A client of Sharp Decisions if looking for an AWS Data Engineer. This role is HYBRID in Torrance, CA with an initial contract of 18+ months, W2 only.
Daily Tasks Performed:
• Design and implement data integration workflows using AWS Glue/EMR, Lambda, Redshift
• Demonstrate proficiency in Pyspark, Apache Spark and Python for data processing large datasets
• Ensure data is accurately and efficiently extracted, transformed, and loaded into target systems.
Qualifications:
• Bachelor's degree in computer science, information technology, or a related field. A master's degree can be advantageous.
• 4-6+ years of experience in data engineering, database design, ETL processes,
• 5+ in programming languages such as PySpark, Python
• 5+ years of experience with AWS tools and technologies (S3, EMR, Glue, Athena, RedShift, Postgres, RDS, Lambda, PySpark)
A client of Sharp Decisions if looking for an AWS Data Engineer. This role is HYBRID in Torrance, CA with an initial contract of 18+ months, W2 only.
Daily Tasks Performed:
• Design and implement data integration workflows using AWS Glue/EMR, Lambda, Redshift
• Demonstrate proficiency in Pyspark, Apache Spark and Python for data processing large datasets
• Ensure data is accurately and efficiently extracted, transformed, and loaded into target systems.
Qualifications:
• Bachelor's degree in computer science, information technology, or a related field. A master's degree can be advantageous.
• 4-6+ years of experience in data engineering, database design, ETL processes,
• 5+ in programming languages such as PySpark, Python
• 5+ years of experience with AWS tools and technologies (S3, EMR, Glue, Athena, RedShift, Postgres, RDS, Lambda, PySpark)
