Top Data Engineer Jobs in Mexico City

The Senior Data Engineer will design and develop data warehousing solutions, optimize data performance, manage data platforms, and collaborate with cross-functional teams to fulfill business requirements.

Lead the development of data infrastructure by creating scalable ETL/ELT pipelines, managing data flows in AWS, and ensuring data governance while building data models with dbt.

Responsible for developing and supporting data platform infrastructure, collaborating with teams to provide data solutions and mentoring junior engineers.

Design and implement data pipelines and products, collaborating across teams to enhance data accessibility and support business needs.

The Senior Data Engineer will lead the development and maintenance of data pipelines, ensuring data governance and performance in a collaborative Agile environment.

Drive quality assurance strategy for data migration projects, validating data integrity and automation using AWS technologies and Python scripts.

As a Senior Data Platform Engineer, you'll implement and support lakehouse platforms, ensuring data quality and collaborating closely with architects on design and operational strategies.

The Senior Data Engineer will design and build scalable data pipelines in Snowflake and dbt, optimize performance, and lead technical efforts while mentoring the team.

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 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.

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

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

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.