Embedded Python Data & Automation Engineer

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 engage