Data Engineer

Data Engineer (Mining & Industrial Data Integration)

Remote | South America Preferred (Chile, Brazil, Peru, Argentina, Colombia)

Design and maintain data pipelines that ingest industrial and historian data into GCP.
Process and transform large-scale Parquet datasets generated from mining operations.
Load and optimize data within BigQuery and Bigtable environments.
Build reliable data integration workflows between operational technology (OT) systems and cloud infrastructure.
Support machine learning teams by providing clean, accessible, production-ready datasets.
Help operationalize recommendations generated by analytics and ML systems back into historian or control environments.
Collaborate closely with Data Scientists, Engineers, and mining domain experts.
Troubleshoot data quality, reliability, and performance issues across the data platform.

5+ years of experience in Data Engineering or Data Platform Engineering.
Strong experience with Google Cloud Platform (GCP).
Hands-on experience with:
BigQuery
Bigtable
Parquet
Docker
Experience building and maintaining production-grade ETL/ELT pipelines.
Strong SQL skills and experience working with large-scale datasets.
Experience integrating data from multiple operational systems.
Ability to work independently in a remote environment.
Experience in Mining, Metals, Energy, Manufacturing, Industrial IoT, or Process Industries.
Experience working with:
Industrial historians (OSIsoft PI, AVEVA Historian, Canary, etc.)
SCADA systems
Process control systems
Time-series industrial data
Experience supporting ML or AI-driven products.
Familiarity with industrial operations and production optimization workflows.
Spanish proficiency is a plus.
Direct impact on real-world mining operations.
Work at the intersection of industrial systems, cloud infrastructure, and AI.
Collaborate with a highly specialized team focused on operational optimization.
Opportunity to solve complex data integration challenges rarely seen in traditional SaaS environments.
Fast hiring process with direct access to technical and executive leadership.
G2i Recorded Interview
Professional background review
Targeted technical deep dive
Client Interview
Conversation with the VP of Data Science
Decision
Fast turnaround after final interview