Insight Global

AWS Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer in Charlotte, NC, on a 12-18 month contract at $60/hr. Requires 7+ years in Data Engineering, 5+ years in AWS, strong Python and SQL skills, and experience with ETL pipelines and data modeling.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date
July 22, 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
#Data Quality #Complex Queries #Python #Code Reviews #Scala #DynamoDB #Lambda (AWS Lambda) #Data Processing #FastAPI #Spark (Apache Spark) #Data Ingestion #Data Pipeline #"ETL (Extract #Transform #Load)" #Data Warehouse #AWS (Amazon Web Services) #S3 (Amazon Simple Storage Service) #Data Modeling #SQL (Structured Query Language) #Data Engineering #PySpark #Cloud #Kafka (Apache Kafka)
Role description
Title: AWS Data Engineer Location: Charlotte, NC • Hybrid 2x/week onsite Model: Contract role 12-18 months long Pay: $60/hr About the Role Insight Global is looking for an AWS Data Engineer to join one of our financial clients and help with an ongoing project. We are looking for a skilled Data Engineer with a strong AWS and Python background to help design, build, and maintain scalable data pipelines and APIs. This role is ideal for someone who enjoys working across data ingestion, transformation, and delivery, and who can clearly explain their work through real project experience. Key Responsibilities • Design, build, and maintain pipelines using AWS services such as Kafka, Lambda, and Glue • Develop and optimize data processing workflows using Python and PySpark • Build and support APIs (preferably using FastAPI) to expose data to downstream systems • Work with data warehouse architectures, ensuring data quality, reliability, and performance • Collaborate with cross-functional teams to understand data requirements and translate them into scalable solutions • Participate in code reviews and contribute to best practices in data engineering Required Skills & Qualifications • 7+ years experience with Data Engineering • 5+ years working hands on in an AWS cloud environment • A strong understanding with hands on experience working with the AWS services (Glue, DynamoDB, Lambda, S3) • Strong SQL experience (complex queries, data validations, syntax, etc.) • Hands on experience with Pyspark • Proven experience creating system designs • Strong experience working with data domains, data modeling and analysis • Experience building end to end ETL pipelines