AWS Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer in Torrance, CA, with an 18+ month contract. Requires a Bachelor's degree, 4-6 years in data engineering, 5+ years with AWS tools, and expertise in ETL processes and database design.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
672
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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
β€’ β€’ 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