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Location: Based in LATAM with Ocassional Travel
Department: Operations & Technology
Reports to: Data Products Lead
Works closely with: Field Data Engineers, Science & Monitoring, Restoration Scope, project teams (Panama, Mexico)
Part-Time Role

About Empresa confidencial
Empresa confidencial is a developer and operator of biodiverse carbon projects on degraded cattle ranching lands in Panama and Mexico. Our vision is to develop nature at scale in partnership with local communities. Our high-quality, high-integrity projects integrate sustainable land and livestock management practices with biodiverse restoration.
Role Overview

We are seeking a Data Engineer to build and maintain the data pipelines that connect project-level data systems into a shared structure supporting land acquisition, restoration, MRV (Monitoring, Reporting, and Verification), compliance, and decision-making.
This role focuses on structuring and standardizing data across projects (e.g. Panama, Mexico and other Latin American countries), transforming fragmented inputs into a coherent system that supports carbon accounting,



auditability, and internal + investor reporting.
The Data Engineer will work closely with project-level Field Data Engineers (who manage data capture systems) and in the future a Data Manager (who will define structure), and will play a central role in developing Empresa confidencial’s “data bus” - a lightweight but scalable backbone connecting multiple projects into a unified system.

Key Responsibilities
Data Pipeline Development: Build and maintain ingestion pipelines from multiple data sources, including spreadsheets (Panama, Mexico) and new project data as needed. Ensure reliable and scalable data flows across projects.
Data Standardization and Transformation: Structure and transform incoming data into a shared schema (e.g. parcels, interventions, measurements, evidence), enabling consistency across projects and use cases.
Data Bus Development: Develop and maintain a lightweight “data bus” that connects mult

Postúlate en Kit Empleo: kitempleo.cl/empleo/1cpbv4

📌 Data Engineer (Chile)
🏢 Empresa reconocida
📍 Chile