About The Role
We are looking for an Embedded Python Data & Automation Engineer to take ownership of an existing Python environment, maintain production systems, improve automations and data pipelines, and develop internal tools and integrations.
Key Responsibilities
System Transition & Knowledge Absorption: Shadow the departing programmer and take ownership of the existing Python codebase.
Production Support & Maintenance: Troubleshoot live issues, maintain existing systems, and ensure system stability.
Data Pipelines & Automations: Maintain, debug, and improve data pipelines and scheduled automations.
API & Integration Ownership: Maintain and extend APIs, third-party integrations, authentication flows, and webhooks.
Technical Debt: Identify fragile systems, undocumented dependencies, and technical risks and improve them over time.
Documentation: Create and maintain system documentation, workflow diagrams, dependency maps, and operating procedures.
Internal Tooling: Build practical automation tools and internal software based on business needs.
Engineering Practices: Use Git,



pull requests, automated testing, changelogs, and staged deployments.
Required Experience & Skills
3+ years of professional Python experience in a data-focused environment.
Experience building or maintaining production data pipelines and automations.
Strong experience with APIs, integrations, authentication, and webhooks.
Experience working with an existing or legacy codebase.
Working knowledge of SQL and relational databases.
Familiarity with Git, pull requests, testing, and deployment workflows.
Strong written English and technical documentation skills.
Ability to work with meaningful overlap with US business hours.
Typical Day
Your day begins with a check on overnight automations and any open production issues. You spend focused blocks working through the current system — reading existing code, running tests, tracing integrations, and filling in documentation gaps. Early in the engagement,

📌 Embedded Python Data (Argentina)
🏢 Pavago
📍 Argentina