Data Engineer / FinOps AI Cost & Usage Analytics - GP, Remote: Colombia - Costa

- This position is open to candidates located in Colombia or Costa Rica only - FinOps Data Engineer – AI Cost & Usage Analytics Gorilla Logic is looking for a FinOps Data Engineer – AI Cost & Usage Analytics to help build scalable data solutions that provide visibility into AI usage, consumption, and costs across multiple platforms and providers. In this role, you will work at the intersection of data engineering, cloud financial management, and AI operations, building reliable pipelines that ingest usage and billing data from platforms such as GitHub Copilot, Anthropic Claude, Google Gemini, OpenAI, Azure OpenAI, and other emerging AI technologies. You will be responsible for transforming disparate usage and cost data into a unified data model in Google BigQuery and enabling trusted, self-service analytics through Power BI. You will collaborate closely with FinOps, Finance, Engineering, and other stakeholders to turn complex usage data into actionable insights that support cost allocation, forecasting, optimization, and informed decision-making. Responsibilities Design, build, and maintain scalable data pipelines that ingest AI usage, billing, and consumption data from multiple providers and platforms. Develop API integrations and scheduled data ingestion processes using Python, Cloud Functions, Cloud Composer/Airflow, or similar technologies. Build reliable ingestion processes with appropriate error handling, retry mechanisms, monitoring, and data-quality validation