Senior Data Engineer Latin America

Key Responsibilities:

• Design and implement standardized, normalized data models capable of integrating heterogeneous and complex source systems.
• Lead org-wide architectural decisions for data warehousing, orchestration, and pipeline reliability across the data engineering ecosystem.
• Build and maintain production-grade data services and internal tooling utilizing Python and modern frameworks like FastAPI or Flask.

Requirements:

• 8+ years of hands-on data engineering experience, including 2–3+ years operating at a staff or principal level with org-wide architectural scope.
• Deep expertise in BigQuery and SQL-based transformation tools like dbt or Dataform.
• Advanced Python proficiency building production services and APIs, plus production orchestration with Airflow or Cloud Composer.

What You’ll Love:

• 100% remote culture allowing you to work from anywhere in Latin America.
• Paid Time Off (PTO) for vacation and personal days, plus holidays off to celebrate local national holidays.
• Health insurance assistance and competitive USD compensation paid directly in US Dollars.