Top Data Engineer Jobs in Mexico

Design, build, and maintain data pipelines, optimize existing ETL processes, and collaborate with teams to deliver structured datasets and support analytics initiatives.

The Data Architect role involves defining the data strategy, optimizing data schemas, enhancing performance, and collaborating with multiple teams for effective data management.

The Data Engineer is responsible for designing and maintaining data pipelines and infrastructure, ensuring data accessibility and quality for analytics and reporting.

Design and maintain data pipelines, optimize Apache Spark processing, manage data solutions in Azure, enforce software engineering practices, and mentor peers.

Design and optimize ETL/ELT pipelines, maintain reverse ETL workflows, ensure data quality, and collaborate with cross-functional teams for reliable data solutions.

Seeking a Data Engineer with 5+ years experience in ETL/ELT design, data analysis, and cloud-based solutions. Responsibilities include building data pipelines, maintaining data warehouses, and collaborating with stakeholders on data initiatives.

As a Mid Data Engineer, you will design and maintain data pipelines, collaborate with teams, and ensure data quality and integrity.

The Data Engineer role involves designing, developing, and optimizing data processing solutions ensuring quality and scalability, while adhering to project timelines and technical standards.

As a Senior Software Engineer at Helix, you'll design and implement scalable software systems, mentor engineers, and drive AI adoption within development workflows, focusing on genomics data integration in healthcare.

The Senior AI/ML Engineer will architect and develop AI/ML solutions, collaborate with teams, and ensure deployment compliance, especially in healthcare.

The Senior Data Engineer will design and implement data solutions, focusing on scalable data models and pipelines, while collaborating with analytics teams.

Develop and enhance Zillow's analytics platform. Responsibilities include building reporting tools, improving data discoverability, and designing AI-driven workflows. Collaborate with teams to ensure reliable self-service analytics and manage projects from conception to deployment.

The AI Data Engineer will develop ETL pipelines for structured and unstructured data, ensuring data quality and integrity for AI initiatives, and collaborate on automation solutions.

The role involves building scalable reporting infrastructure, managing data integration, overseeing GA4 and Google Tag Manager implementations, and translating analytics into business insights.

As a Senior Data Engineer, lead projects in designing and maintaining data pipelines, improving production systems, and collaboration with cross-functional teams.

The Sr. Data Infrastructure Engineer will design and maintain data solutions, collaborate with teams to optimize performance, and enhance system reliability and observability.

As a Senior Data Engineer, you will design and maintain data pipelines, optimize extraction and loading processes, and ensure data integrity for small businesses across Latin America.

The Senior Data Engineer will design and build data platforms and ingestion pipelines, ensure data quality, and collaborate with teams for analytics readiness, contributing to predictive maintenance and operational intelligence.

As a Senior Data Engineer, you will design, build, and deploy data solutions, guide customers, and ensure data quality and governance.

Design, build, and maintain scalable data ingestion pipelines and models in Azure for reporting, ensuring compliance and data quality. Collaborate with teams to document data processes and support deployment in various environments.

As a Senior Data Engineer, you will design, build, and maintain scalable data platforms, ETL pipelines, and support analytics and ML workflows, ensuring data quality and cross-functional collaboration.

The Senior Data Engineer is responsible for building and maintaining data solutions, optimizing data pipelines, and ensuring data quality for analytics initiatives.

The Senior Data Engineer will design, implement, and optimize data platforms, ensuring performance and quality in an agile environment.

We are seeking experienced Senior Data Engineers to design and optimize data systems and architectures using cloud technologies to support data pipelines.

Design and develop scalable data pipelines processing petabytes of data, working with analysts and AI teams to deliver reliable, production-quality datasets.