📍 Hybrid - CDMX The role We’re looking for a Data Engineer who can help us design, build, and maintain scalable data pipelines, ETL processes, and real-time architectures that support mission-critical financial operations. You’ll work on: • Real-time pipelines for high-volume transactions • ETL, automation, and data quality monitoring • Data lakes/warehouses using Snowflake • Orchestration with Apache Airflow • AWS-based data infrastructure (Glue, streaming, monitoring) • Models that power compliance, reconciliation, risk, and business intelligence

What we’re looking for: • 2–5 years of experience in data engineering (fintech or high-transaction volume is a plus) • Strong Python (Pandas, PySpark, Dask) • SQL + NoSQL experience • Experience with pipelines, automation, workflow orchestration • Knowledge of streaming (Kafka/Flink) and AWS data tools • Understanding of data security, compliance (Banxico, CNBV), or financial rails is a big plus Nice to have: -Microservices, CI/CD, Terraform, Docker/K8s, ML for fintech (risk, fraud). Why Monato: • Build the data foundation of a next-generation financial infrastructure • Work with cutting-edge tech in a fast-moving fintech • High ownership, real impact, growth opportunities • Competitive compensation + remote flexibility