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 engagement, a meaningful portion of your time is in handover sessions with the departing programmer. As the transition matures, that time shifts toward new development: building automations, improving pipeline reliability, or scoping a new internal tool with the client. You communicate primarily over Slack and participate in planning sessions and check-ins that align with US business hours. You raise flags early, document as you go, and push changes through staging rather than directly to production. Interview Process - Video Interview Screening - Client Interview - Offer Stage