Mid-Level Data Engineer (Temporary)

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

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

Engagement Details

Full-time independent contractor (40 hours/week)

Duration: 10–12 weeks with potential extension

Fully Remote work

Compensation in USD