Data Quality Engineer with Experience in Monte Carlo

This a Full-Time job working remotely from Latin America with US clients. We offer:100% Remote Work$20 USD per hourTitle: Data Quality EngineerThe Data Quality Engineer is responsible for building, operating, and improving automated data quality and observability controls across operational systems, analytics platforms, and AI data pipelines. This role focuses on preventing, detecting, and diagnosing data issues before they impact reporting, decision-making, or AI/ML models.The Data Quality Engineer uses Monte Carlo as a core observability platform and applies strong SQL, analytical, and engineering skills to implement scalable monitoring, anomaly detection, and issue resolution workflows across the modern data stack.Required Qualifications:4+ years of experience in data engineering, analytics engineering, or data quality rolesStrong SQL skills and experience working with large, complex datasetsHands-on experience implementing or operating Monte Carlo or similar data observability platformsExperience working with modern data stacks (cloud data warehouses/lakehouses, ELT pipelines, BI tools)Strong analytical skills and ability to perform root cause analysis across data pipelines