Sr AWS Engineer/ Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr AWS Engineer/Developer on a contract basis in Fort Mill, SC (Hybrid). Key skills include Python, API, .Net, SQL, and AWS services. Experience in data pipelines, ETL/ELT workflows, and data security is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 26, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Fort Mill, SC
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🧠 - Skills detailed
#Deployment #Security #Data Storage #Athena #Data Processing #S3 (Amazon Simple Storage Service) #RDS (Amazon Relational Database Service) #AWS (Amazon Web Services) #Compliance #"ETL (Extract #Transform #Load)" #Lambda (AWS Lambda) #.Net #DynamoDB #Data Lake #SQL (Structured Query Language) #Python #Data Warehouse #Data Pipeline #Redshift #Data Science #API (Application Programming Interface) #Data Security #Storage
Role description
Role: AWS Engineer/Developer
Location: Fort Mill SC Hybrid]
Employment Type: [Contract]
Skills- Python/API/.Net/SQL/AWS Services
Key Responsibilities
Design, develop, and maintain data pipelines and ETL/ELT workflows in AWS.
Build and manage data lakes, data warehouses, and analytics platforms using AWS-native services.
Work with structured and unstructured data from diverse sources.
Optimize data storage, query performance, and cost efficiency across AWS environments.
Leverage AWS services such as S3, Glue, Redshift, Lambda, EMR, RDS, DynamoDB, Kinesis, Athena, API Gateway.
Collaborate with data scientists, analysts, and application teams to ensure data availability and quality.
Implement data security, governance, and compliance best practices.
Develop and maintain CI/CD pipelines for data processing and deployment.
Troubleshoot, monitor, and optimize workflows for reliability and performance.
Role: AWS Engineer/Developer
Location: Fort Mill SC Hybrid]
Employment Type: [Contract]
Skills- Python/API/.Net/SQL/AWS Services
Key Responsibilities
Design, develop, and maintain data pipelines and ETL/ELT workflows in AWS.
Build and manage data lakes, data warehouses, and analytics platforms using AWS-native services.
Work with structured and unstructured data from diverse sources.
Optimize data storage, query performance, and cost efficiency across AWS environments.
Leverage AWS services such as S3, Glue, Redshift, Lambda, EMR, RDS, DynamoDB, Kinesis, Athena, API Gateway.
Collaborate with data scientists, analysts, and application teams to ensure data availability and quality.
Implement data security, governance, and compliance best practices.
Develop and maintain CI/CD pipelines for data processing and deployment.
Troubleshoot, monitor, and optimize workflows for reliability and performance.
