Embedded Python Data & Automation Engineer (Data Pipelines)

Location: Remote from Argentina, Mexico, or Costa Rica; meaningful overlap with U.S. business hours required.

Company

hirify.global is hiring for a client seeking an engineer to own and improve an established Python production environment.

What you will do

• Shadow the departing programmer, complete knowledge transfer, and take ownership of the existing Python codebase and production workflows.
• Maintain and troubleshoot applications, data pipelines, scheduled automations, APIs, authentication flows, webhooks, and third-party integrations.
• Investigate production failures, identify root causes, implement reliable fixes, and monitor system stability.
• Build internal tools and automations that reduce manual work and support operational requirements.
• Reduce technical debt, improve system reliability, document dependencies and workflows, and maintain operating procedures.
• Use Git, pull requests, automated testing, changelogs, and staged deployments before production releases.

Requirements

• At least 3 years of professional Python experience in a data-focused environment.
• Experience building or maintaining production data pipelines and automations.
• Strong experience with APIs, third-party integrations, authentication, and webhooks.
• Working knowledge of SQL and relational databases.
• Familiarity with Git, pull requests, automated testing, and deployment workflows.
• Strong written English communication and meaningful overlap with U.S. business hours are required.

Nice to have

• Experience taking ownership of systems maintained by another engineer.
• Experience modernizing legacy Python environments and improving scheduled automation workflows.
• Experience developing internal business tools and scoping technical solutions with stakeholders.
• Experience with staged production deployments and data pipeline reliability.

Culture & Benefits

• Fully remote working environment within the stated eligible locations.
• Direct ownership of an established production Python environment from the start.
• Structured technical handover with responsibility gradually shifting toward new development.
• Opportunity to work across Python, SQL, data pipelines, APIs, integrations, and automation.
• Potential career progression toward Senior Python Engineer, Data Engineer, Automation Engineer, Technical Lead, or engineering leadership.

Hiring process

• Initial application followed by a required Spark Hire one-way video interview.
• Video interview screening and client interview.
• Offer stage after successful interviews.