Top Data Engineer Jobs in Mexico

As a Staff Engineer in Data Science, you will leverage your coding skills to tackle client challenges, guide teammates, and enhance solutions for greater success.

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

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.

The Senior Data Engineer will design and maintain data pipelines, mentor engineers, and implement data governance while using tools like Snowflake and dbt.

As a Senior Data Engineer, you will develop SQL queries, analyze data structures in Snowflake, and ensure data availability within an Agile framework while participating in technical discussions and data quality reviews.

The Principal Engineer will oversee data infrastructure, optimizing databases, and facilitating data systems for high volume processing while integrating new technologies.

Lead the migration of SQL Server and PostgreSQL to Azure SQL. Design and support PaaS and DBaaS offerings while optimizing database instances.

The Senior Data Engineer will enhance data-driven applications and platforms, focusing on data integration, optimizing warehouses, and ensuring data quality, collaborating with various teams for implementation.

As a Senior Data Engineer, you'll design, build, and maintain cloud-native data pipelines and architectures for analytics and machine learning workloads, collaborating with cross-functional teams.

Lead the design and implementation of software applications and BI solutions, ensuring quality and scalability while mentoring team members and ensuring data governance compliance.

The Senior Data Engineer will enhance Arkham's Data Platform with a focus on Lakehouse architecture, manage data pipelines, and ensure data quality across the lifecycle.

The role involves driving process optimization through analytics, developing analytical models, coordinating with data scientists, and implementing digital tools in manufacturing.

Lead data engineering efforts to create scalable ETL pipelines and ensure data integrity for analytics and business intelligence at Launch Potato.

Lead data engineering initiatives to build, manage, and optimize ETL pipelines and data infrastructure, ensuring accurate data for analytics and business intelligence teams. Collaborate cross-functionally to support strategic growth.

Lead scalable data engineering efforts, build and optimize ETL processes, and ensure data integrity across BI and analytics teams.

Lead data engineering efforts by building scalable ETL pipelines and data lake infrastructure, ensuring accessible data for cross-functional teams to drive business analytics and intelligence.

Lead data engineering efforts, building and optimizing ETL pipelines, managing data lakes, and collaborating with BI and analytics to ensure data quality and usability.

Lead data engineering efforts by building scalable ETL and data lake processes, managing data ingestion, and supporting business intelligence teams to enhance analytics and decision-making.

Lead scalable data engineering efforts to build and optimize ETL and data lake processes, ensure data quality, and support cross-functional teams with actionable insights.

Lead scalable data engineering efforts, building ETL pipelines and data lake infrastructure to support decision-making across business units.