Mid-Level Data Engineer (Temporary)

Job Description

We are looking for a Mid-Level Data Engineer with strong experience in Python and AWS Serverless architectures to support a critical runtime upgrade project.

The main objective is to upgrade multiple production services from Python 3.9 to Python 3.13, modernize the Serverless Framework infrastructure, and decommission legacy services. This work is time-sensitive due to the upcoming AWS Python 3.9 deprecation.

Responsibilities

• Upgrade Python runtime (3.9 → 3.13) across multiple serverless applications.
• Upgrade Serverless Framework (v3 → v4) and update dependencies.
• Maintain and update CI/CD pipelines and deployment workflows.
• Test and deploy services across dev, staging, and production environments.
• Identify and safely decommission deprecated services.
• Document changes and provide knowledge transfer to the internal team.

Technical Environment

Infrastructure

• Serverless Framework
• AWS Lambda
• API Gateway
• Step Functions
• CloudFormation
• CodePipeline / CodeBuild

Application Stack

• Python
• Flask APIs
• Data processing libraries (boto3, pandas, psycopg2)

CI/CD

• Bitbucket Pipelines
• Docker

Requirements

• 3–5 years experience as a Data Engineer or Backend Engineer
• 3+ years of Python development
• Experience with AWS serverless services (Lambda, API Gateway, Step Functions)
• Hands-on experience with Serverless Framework
• Experience with CI/CD pipelines and automated deployments
• Experience upgrading Python runtimes in production
• Familiarity with Flask-based APIs

Nice to Have

• AWS CDK experience
• Redshift or data warehouse experience
• Python unit testing (pytest / unittest)
• AWS certifications

Benefits

Engagement Details

• Full-time independent contractor (40 hours/week)
• Duration: 10–12 weeks with potential extension
• Fully Remote work
• Compensation in USD