Top Data Engineer Jobs in Leon

Build secure, scalable data infrastructure and pipelines; design and implement data orchestration and transformation solutions with Airflow/DBT/Snowflake; ensure high-quality data delivery for analysis and reporting; automate deployments with IaC; improve observability; document best practices; support DataOps initiatives. Hybrid role in Mexico City (twice weekly onsite).

Lead design and delivery of scalable ETL/ELT pipelines into Snowflake, build dbt-based semantic models and metric definitions, use Databricks/PySpark for high-scale transformations, manage AWS-based data infrastructure, implement data quality, monitoring, and governance to create authoritative data marts.

The Data Quality Engineer ensures the quality and integrity of data in studies, developing measurement systems, automation, and conducting analysis to uphold standards across projects.

Senior integration engineer responsible for designing and implementing API integrations, ETL pipelines, and Power Platform connections; building and maintaining APIs and data transformation workflows; ensuring data quality, security, reliability, and optimizing/troubleshooting integration flows.

Lead evaluation and benchmarking of enterprise-scale graph databases. Extract, transform, and load data from Databricks into multiple graph platforms, implement benchmark workloads and APIs, analyze query plans and indexing, provision test environments, document results, and advise architects and leaders on technical trade-offs and recommendations.

Design, build, and maintain scalable Airflow-based data pipelines and reusable components. Implement CI/CD for deployments, enforce data governance and quality, monitor and troubleshoot workflows, document solutions, and mentor teammates on Airflow best practices.

As a Data Engineering Architect, lead the transformation of data engineering into a modern platform, oversee architecture and technical leadership, design scalable systems, ensure data quality and governance, and mentor teams for a data-driven culture.

The Staff Engineer, Data Science role focuses on leveraging tech skills to enhance team capabilities and provide advanced solutions for client challenges.