Embedded Python Data Pipelines & Automation Engineer

Pavago; Philippines; Remote; PHP 900,000 - 1,300,000; Full time

Job summary

Pavago in the Philippines is seeking an Embedded Python Data & Automation Engineer to own the existing Python environment, maintain production systems, improve automations and data pipelines, and develop internal tools and integrations.

You will shadow the outgoing engineer, troubleshoot live issues, enhance APIs and integrations, and document workflows while working with US business hours.

Qualifications

• 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.

Responsibilities

• Shadow the departing programmer and take ownership of the existing Python codebase.
• Troubleshoot live issues, maintain existing systems, and ensure system stability.
• Maintain, debug, and improve data pipelines and scheduled automations.
• Maintain and extend APIs, third-party integrations, authentication flows, and webhooks.
• Identify fragile systems, undocumented dependencies, and technical risks and improve them over time.
• Create and maintain system documentation, workflow diagrams, dependency maps, and operating procedures.
• Build practical automation tools and internal software based on business needs.
• Use Git, pull requests, automated testing, changelogs, and staged deployments.

Skills

Python

Data pipelines

APIs & webhooks

Legacy codebase

SQL

Git & CI/CD

Technical writing

US hours overlap

Tools

Git

CI/CD tooling

Job description

Pavago in the Philippines is seeking an Embedded Python Data & Automation Engineer to own the existing Python environment, maintain production systems, improve automations and data pipelines, and develop internal tools and integrations.

You will shadow the outgoing engineer, troubleshoot live issues, enhance APIs and integrations, and document workflows while working with US business hours.