Senior Python Data, Automation Engineer

This is a fully remote position, open to applicants in Costa Rica.

📋 Description

• Conduct a structured knowledge transfer with the departing engineer and assume responsibility for essential Python workflows.

• Sustain, troubleshoot, and enhance the current Python codebase that supports paid media operations.

• Develop and maintain integrations with CRM systems, financial platforms, data warehouses, websites, and advertising networks.

• Optimize the separation of data ingestion, transformation, storage, and downstream outputs.

• Implement data quality checks, reconciliation, exception handling, logging, and alerting mechanisms.

• Utilize approved AI development tools to expedite code analysis, documentation, testing, and delivery while safeguarding client data.

• Identify repetitive tasks that can be automated to enhance team productivity.

• Evaluate the existing architecture and suggest practical improvements once operations are stabilized.

• Serve as a consistent, integrated member of the client team, effectively communicating with non-technical stakeholders, including the CEO and COO.

⛳️ Requirements

• Significant professional experience in developing and maintaining production systems using Python.

• Strong expertise in ETL/ELT, data integration, and SQL.

• Experience with integrating REST APIs, third-party platforms, and diverse source systems.

• Familiarity with AWS-hosted applications or data workloads.

• Capability to comprehend and safely modify unfamiliar or inadequately documented code.

• Experience in data quality validation, reconciliation, exception handling, logging, and monitoring.

• Proficiency in software engineering practices including testing, version control, code review, and controlled deployment.

• Ability to design sustainable solutions rather than one-off scripts.

• Experience in directly engaging with business stakeholders and converting operational requirements into technical solutions.

• Proficient in English at C1 level or higher, both written and spoken.

• Additional experience in advertising technology, marketing technology, or digital attribution platforms is a plus.

• Familiarity with Google Ads, Meta, or other advertising network integrations is advantageous.

• Acquaintance with conversion APIs or offline conversion imports is a nice-to-have.

• Experience with Salesforce, HubSpot, Snowflake, or similar platform integrations is desirable.

• Exposure to Airflow, Prefect, or Dagster is beneficial.

• Experience with dbt is also a plus.

• Previous consulting, agency, or professional services delivery experience is appreciated.

🏝️ Benefits

• Remote work opportunities.

• A fantastic work environment recognized by Great Place To Work.