Embedded Python Data & Automation Engineer

Embedded Python Data & Automation Engineer – APIs, Data Pipelines & Internal Tools | Remote

Position Type: Full-Time, Remote
Working Hours: Meaningful Overlap with U.S. Business Hours
About the Role

At Pavago , one of our clients is hiring an experienced Embedded Python Data & Automation Engineer to take ownership of an existing Python environment, maintain production systems, improve data pipelines and automations, and build practical internal tools and integrations.

This is a hands-on engineering role with an important initial focus on knowledge transfer and system ownership . You’ll work closely with a departing programmer to understand the existing codebase, integrations, dependencies, automations, and production workflows before becoming the primary technical owner.

Beyond maintaining what already exists, you’ll identify technical risks, improve reliability, reduce technical debt, strengthen documentation, and develop new automations and internal tools based on evolving business needs.

If you’re comfortable stepping into an existing Python environment, troubleshooting production systems, and gradually making them more reliable and maintainable, this role is a strong fit.
What You’ll Own
System Transition & Technical Ownership

- Shadow the departing programmer and absorb critical system knowledge

- Take ownership of the existing Python codebase and production environment

- Understand current:

- Applications

- Automations

- Data pipelines

- Integrations

- Dependencies

- Deployment processes

- Identify undocumented workflows and system dependencies

- Build sufficient technical context to independently maintain and extend the environment

- Ensure continuity throughout the engineering transition

Production Support & Maintenance

- Monitor and maintain existing production systems

- Troubleshoot live issues and identify root causes

- Resolve bugs and operational failures efficiently

- Ensure existing applications and automations remain stable

- Investigate failed jobs, integrations, and unexpected system behavior

- Raise technical risks early and communicate issues clearly

- Prioritize reliability while making changes to existing systems

Data Pipelines & Automation

- Maintain, debug, and improve existing data pipelines

- Monitor scheduled automations and investigate failures

- Improve pipeline reliability and maintainability

- Build new automations based on business requirements

- Reduce repetitive manual processes through practical engineering solutions

- Ensure automated workflows remain observable and dependable

APIs & Integrations

- Maintain and extend existing APIs and third-party integrations

- Work with:

- REST APIs

- Authentication flows

- Webhooks

- Third-party services

- Troubleshoot integration and authentication failures

- Maintain reliable data flow between internal and external systems

- Extend integrations as business requirements evolve

Technical Debt & System Reliability

- Identify:

- Fragile systems

- Undocumented dependencies

- Technical risks

- Maintenance bottlenecks

- Prioritize technical debt based on business and operational impact

- Refactor and improve existing systems over time

- Reduce unnecessary complexity where appropriate

- Improve system reliability without disrupting production workflows

Documentation & Knowledge Management

- Create and maintain:

- Technical documentation

- Workflow diagrams

- Dependency maps

- Operating procedures

- Document systems as you learn and modify them

- Ensure important technical knowledge is not dependent on a single individual

- Keep documentation current as systems and workflows evolve

Internal Tooling & Development

- Build practical internal software and automation tools based on business needs

- Translate operational requirements into technical solutions

- Scope new internal tools with client stakeholders

- Extend existing systems where appropriate rather than unnecessarily rebui