AWS Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer in Torrance, CA, on an 18+ month W2 contract, offering a pay rate of "TBD." Requires a Bachelor's degree, 4-6+ years in data engineering, proficiency in AWS tools, and strong ETL and programming skills.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 30, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Torrance, CA
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🧠 - Skills detailed
#Programming #Redshift #Python #RDS (Amazon Relational Database Service) #"ETL (Extract #Transform #Load)" #Data Quality #Databases #Computer Science #Agile #AWS (Amazon Web Services) #Athena #Security #Compliance #Data Engineering #Data Mart #Lambda (AWS Lambda) #Data Warehouse #Spark (Apache Spark) #Data Security #S3 (Amazon Simple Storage Service) #PySpark #Database Design
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, iSpace, Inc, is seeking the following. Apply via Dice today! β€’ IT'S A W2 CONTRACT ROLE, NO C2C OR 1099 β€’ β€’ β€’ Job Title: AWS Data Engineer Location: Torrance, CA Duration Contract 18+ Months Required : β€’ Bachelor's degree in computer science, information technology, or a related field. A master's degree can be advantageous. β€’ 4-6+ years of experience in data engineering, database design, ETL processes, β€’ 5+ in programming languages such as PySpark, Python β€’ 5+ years of experience with AWS tools and technologies (S3, EMR, Glue, Athena, RedShift, Postgres, RDS, Lambda, PySpark) β€’ 3+ years of experience of working with databases/ data marts/data warehouses β€’ Proven experience in ETL development, system integration, and CI/CD implementation. β€’ Experience in complex database objects to move the changed data across multiple environments β€’ Solid understanding of data security, privacy, and compliance. β€’ Excellent problem-solving and communication skills. β€’ Display good communication skills to effectively collaborate with multi-functional teams β€’ Participate in agile development processes including sprint planning stand-ups and retrospectives β€’ Provide technical guidance and mentorship to junior developers β€’ Attention to detail and a commitment to data quality. β€’ Continuous learning mindset to keep up with evolving technologies and best practices in data engineering