Top Data Engineer Jobs in Mexico City

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

The Senior Software Engineer will design scalable data pipelines, ensure performance and reliability, and mentor junior engineers while collaborating across teams.

The Senior Software Engineer will design and implement data pipelines, mentor junior engineers, and collaborate on data products for analytics.

Build and optimize data pipelines and models, maintain cloud data warehouse, set engineering standards, and collaborate with teams.

We are looking for a Senior Data Engineer to oversee our database layer, implementing database technologies like Postgres and Spark, focusing on business initiatives.

The Software Engineer II will design and optimize distributed systems for processing metadata, collaborating closely with cross-functional teams to integrate machine learning models into production pipelines.

As a Senior Data Engineer, you will build and maintain scalable data pipelines, collaborate with teams, and ensure efficient data flows to impact company operations.

The Senior Data Engineer will build and optimize data pipelines, manage data warehouse solutions, and collaborate with teams to ensure data accuracy and governance.

The role involves enhancing OpenMetadata, optimizing ingestion pipelines, developing backend features, managing containerized deployments, and improving system reliability for metadata management.

As a Senior Data Engineer, you will design and maintain data architectures, develop ETL/ELT pipelines, implement DataOps practices, and mentor junior engineers while collaborating with stakeholders on data-driven solutions.

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.

Manage ETL processes for clinic data, export data from EHR systems, conduct testing, monitor jobs, and collaborate with teams for onboarding.

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.

As a Staff Data Engineer, you'll design data models and pipelines, mentor engineers, and lead initiatives to enhance Scribd's data platform, ensuring quality and scalability.

As a Software Developer, you will create training data for AI models, audit tool usage, write test cases, and improve technical outputs. No prior AI experience is necessary, but coding skills are critical.

The Lead Software Engineer will build scalable data pipelines, integrate APIs, and mentor juniors while ensuring data quality and performance. Responsibilities include technical leadership and collaboration with cross-functional teams to drive innovation.

As a Senior Data Engineer, you'll design and implement large-scale data processing systems, develop data pipelines, and ensure infrastructure scalability and reliability, while mentoring team members.

As a Sr. Data Engineer, design and maintain data pipelines, collaborate with teams for data solutions, ensure data integrity, and mentor junior engineers.

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

The Sr Data Engineer will design and maintain data pipelines, optimize data processes, and support analytics in GCP, enhancing healthcare data insights.

Design, build, and optimize data pipelines and services ensuring data access and insights. Collaborate with teams using AWS technology.

Seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines, orchestrate workflows, and collaborate with data teams. Strong focus on automation and reliability is essential.

As a Data Backend Engineer, you'll design and maintain backend services for data processing, develop APIs, ensure data quality, and optimize data processes, contributing to Yuno's expansion in the payment infrastructure.

The role involves designing scalable data platforms, developing ETL patterns, collaborating with various teams, and managing production issues.