TPA technologies

Python Developer (AWS & Data Modernization)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Python Developer (AWS & Data Modernization) on a 6+ month contract, fully remote, supporting EST hours. Key skills include Python, AWS services, Terraform, and API integration. Experience with SQL and cloud-native solutions is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
720
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🗓️ - Date
July 24, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Automated Testing #Data Storage #Scala #Infrastructure as Code (IaC) #Python #GitHub #Terraform #RDS (Amazon Relational Database Service) #GitLab #AWS (Amazon Web Services) #Deployment #SQL (Structured Query Language) #AI (Artificial Intelligence) #DevOps #API (Application Programming Interface) #EC2 #SaaS (Software as a Service) #Data Pipeline #S3 (Amazon Simple Storage Service) #"ETL (Extract #Transform #Load)" #Documentation #Debugging #Cloud #Storage #Data Processing #Data Access #Lambda (AWS Lambda)
Role description
This is a 6+ month contract, with a high chance of extensions and/or conversion to Full Time. It is FULLY REMOTE, supporting EST hours with our Investment Management client. Senior Python Developer (AWS | Data Modernization | API Integration) We are seeking a Senior Python Developer to lead the modernization of legacy SQL-based data processing into scalable, cloud-native solutions. This role will focus on converting complex SQL stored procedures into Python, redesigning data pipelines to consume and process data from SaaS APIs, and building an AWS-native architecture that supports scalable API services and efficient data storage Key Responsibilities • Lead the conversion of complex SQL stored procedures into clean, efficient, and maintainable Python applications. • Design and develop backend data processing solutions that consume, transform, and manage data from SaaS APIs. • Architect scalable data storage solutions to support modern API-driven applications and optimize data access patterns. • Build and deploy cloud-native applications using AWS services including S3, Lambda, RDS, EC2, and EKS. • Design, implement, and maintain GitLab CI/CD pipelines for automated testing and deployment. • Automate infrastructure provisioning using Terraform and Infrastructure as Code (IaC) best practices. • Collaborate with software engineers, DevOps, DBAs, and business stakeholders to deliver project milestones. • Troubleshoot production issues, optimize application performance, and support all phases of the software development lifecycle. • Document system architecture, workflows, and technical best practices while identifying opportunities for process improvements. • Comfortable leveraging AI-assisted development tools such as Claude, GitHub Copilot, Cursor, or similar platforms to accelerate software development, code modernization, debugging, testing, and documentation while maintaining high-quality engineering standards.