Data Engineer

About this role

Data Engineer (Mining & Industrial Data Integration) Remote | South America Preferred (Chile, Brazil, Peru, Argentina, Colombia) Full-Time | Direct Hire Compensation: Up to USD $120,000/year (Flexible Based on Experience) About the Company Our client, Alloy Mining Intelligence , is building AI-powered systems that help mining operations optimize production and make better real-time decisions through industrial data and machine learning. The team combines deep expertise in mining operations, industrial data infrastructure, and applied AI to deliver measurable improvements across mining processes. They are looking for a hands-on Data Engineer who can bridge the gap between operational mining systems and modern cloud-based data platforms. The Opportunity This role is ideal for someone who enjoys solving real-world industrial data challenges. You'll work directly with data generated from mining operations, integrating historian systems, sensor data, and operational datasets into cloud-native platforms that support advanced analytics and machine learning. The work goes beyond traditional ETL. You'll help build the data backbone that enables optimization models and operational recommendations to flow back into industrial systems used by mine operators. What You'll Do Design and maintain data pipelines that ingest industrial and historian data into AWS. 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 d