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