Senior Python Developer

Summary

Join Encora as a Senior Python Developer and build robust data pipelines in a cloud-native environment. Collaborate with business stakeholders to design, implement, and maintain data solutions. Leverage your expertise in Python, SQL, and data modeling to create impactful visualizations using Plotly and Streamlit. Integrate modern AI tools and techniques into data workflows, working with AWS services like S3, ECS, CloudWatch, and MWAA. Contribute to a cross-functional team in a remote, full-time role based in Colombia, Peru, Argentina, Costa Rica, or Bolivia. This position requires strong experience in data engineering, pipeline development, and AI system integrations.

Requirements

• 5+ years of hands-on experience with Python for data engineering and automation
• Strong proficiency in SQL and data modeling techniques
• Proven experience designing and implementing data pipelines in production environments
• Solid understanding of data validation, testing frameworks, and error handling strategies
• Deep familiarity with the AWS ecosystem, including services like S3, ECS, CloudWatch, and Airflow (MWAA)
• Experience creating business-facing data visualizations using Plotly and Streamlit
• Proven track record working with AI system integrations, including Langchain, RAG, vector stores, N8N, MCP Servers, AWS SageMaker, and other tools for AI model orchestration and monitoring
• Comfortable working independently and collaboratively in a remote, distributed team
• English: Advanced

Responsibilities

• Design, build, and maintain robust data pipelines for ingestion, transformation, and modeling
• Implement automated testing and error handling to ensure pipeline reliability and data quality
• Collaborate directly with business teams to develop visualizations using Plotly and Streamlit
• Operate within a cloud-based architecture (AWS), working with services such as S3, ECS, CloudWatch, and Managed Workflows for Apache Airflow (MWAA)
• Deploy and manage infrastructure using tools like Docker, Terraform, and Azure DevOps
• Integrate and monitor modern AI solutions using tools and frameworks such as RAG, vector stores, Langchain, N8N, MCP Servers, and AWS SageMaker

Preferred Qualifications

Experience with Airflow, Snowflake, Terraform, Docker, MongoDB, Elastic, PostgreSQL, and Azure DevOps