Insight Global

AWS Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer in Charlotte, NC, offering $60/hr for a 12-month contract. Requires 8+ years of experience, 3+ years with AWS, ETL background, PySpark, advanced SQL, and strong data analysis skills. Hybrid work model.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date
June 4, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#Spark (Apache Spark) #Data Engineering #Data Analysis #Complex Queries #Ab Initio #"ETL (Extract #Transform #Load)" #Programming #Talend #AWS Glue #SQL (Structured Query Language) #PySpark #AWS (Amazon Web Services) #AI (Artificial Intelligence)
Role description
Title: AWS Data Engineer Location: Charlotte, NC Model: Hybrid 2x/week onsite Pay: $60/hr Duration: 12-month Contract (potential extensions) JOB DESCRIPTION Insight Global is looking for an AWS Data Engineer to join one of our financial clients and help with an ongoing project. This resource will be responsible to helping unify store data in order to unify legacy systems across various lines of businesses. This resource should have an ETL background with a strong focus on data engineering, specifically with AWS. Candidates will be responsible for working independently creating code, testing AWS pipelines, running through and managing requirements, data analysis and helping to enhance existing models. REQUIRED SKILLS AND EXPERIENCE • 8+ years experience • 3+ years with AWS (setting up pipelines, using resources, etc.) • Background in ETL (ab initio, talend, AWS Glue, etc) • Pyspark • Object oriented programming • AI experience (understanding of agents and how to use then) • Advanced SQL experience (multi-joins, complex queries, profiling and summarizing data, etc.) • Strong data analysis knowledge and running through requirements • Understanding of data and how to create an analysis from looking at the data within SQL • Understanding of the relationship, summarizing and profiling data within SQL • Proven problem-solving experience