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Embedded Python Data & Automation Engineer

Technology
Pavago
2 weeks agoUntil 2026/12/27
Fully remote

Job description

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

Keywords
pythonmaintenance-repair-and-operations-mrotroubleshootingdata-pipelinedebuggingapplication-programming-interface-apiauthenticationwebhooktechnical-debttime-and-attendanceworkflowpolicies-and-practicespull-requesttesting-and-analysisautomation-testingenvironment-health-and-safety-hsseecology-environmentsqltraining-and-developmentslack

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