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 .

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