Top Data Engineer Jobs in Mexico

The role involves building scalable analytics pipelines, defining data models, optimizing systems, and collaboration with cross-functional teams to develop data architecture.

As a Data Engineer, you will design and build scalable analytics pipelines, manage data integrations, and optimize data architecture for large-scale projects.

The Data Engineer will design, build, and maintain large-scale web scraping and data ingestion pipelines, optimizing performance and ensuring data quality. Responsibilities include collaborating with teams, managing data systems, and enhancing monitoring and documentation.

Design, operate, and scale Elasticsearch clusters and relational databases to support large-scale ingest and low-latency hybrid search. Implement vector/semantic retrieval and ranking (RRF), optimize indexing and query performance, improve observability and reliability, and partner with data teams to shape long-term data and search architecture.

The Staff Data Engineer will lead data model design, standardize data engineering practices, modernize orchestration, and establish governance strategies within Dropbox's Analytics team.

The AI Engineer + Data Engineer will develop data pipelines, integrate LLMs for automation, and ensure data quality, collaborating with various teams to deliver impactful data platforms.

Design and build scalable data systems that process product signals for analytics and AI models. Collaborate with cross-functional teams to improve data infrastructure.

The Data Engineer will modernize data infrastructure, design data pipelines, support analytics, and ensure data quality for logistics and distribution.

The AI Data Engineer role focuses on building and maintaining data pipelines to support AI/ML models, ensuring high-quality datasets for analysis.

The Data Analytics Analyst integrates data analysis with industry practices, applies analytical and project management skills, provides training, and ensures compliance while demonstrating effective communication and judgment.

Design and implement data-oriented processes for managing multi-modal data, build data infrastructure on AWS, and develop data pipelines using various tools.

As a Data Engineer, you will build and maintain data pipelines, support analytics, and ensure data quality while collaborating with cross-functional teams.

The Industrial Data Engineer will manage WDA configurations, analyze IT infrastructure, integrate systems, support sales, and develop training materials.

The Gen AI Data Engineer will develop and maintain Python-based applications, create data pipelines, collaborate with software developers, and improve analytical models through data analysis.

The Data Engineer Sr. designs and maintains scalable data pipelines, ensuring data quality and performance, while collaborating with teams for data solutions.

The Data Engineer II designs, builds, and maintains data pipelines and infrastructure, focusing on cloud technologies for analytics and machine learning.

As a Data Engineer/Scientist, you will build and optimize data pipelines for AI applications, ensuring data quality and collaborating with AI/ML engineers. This entry-level role involves foundational tasks in data management and cloud technologies.

As a Data Engineer, you'll build enterprise-grade data pipelines in Databricks, manage data marts, and implement CI/CD processes, ensuring data quality and collaboration with stakeholders.

As a Cloud Data Engineer, you will develop automated infrastructure deployment workflows, support data analytics environments using Databricks, and maintain best practices for cloud operations.

Design, build, and maintain data pipelines and infrastructure for data initiatives. Collaborate with teams to ensure data availability and integrity, documenting processes and providing mentorship.

Hands-on Senior Data Engineer to design and maintain scalable AWS ETL/ELT pipelines, evolve a data lakehouse with Apache Iceberg, implement governance and security, optimize performance and costs, enable analytics-ready datasets, and ensure reliability, monitoring, and data quality.

As a Data Engineer at SunnyData, you will design and build data solutions, support customers, and ensure data quality and governance while working with cloud platforms.

Designs, builds, and maintains scalable batch and streaming data pipelines, APIs and integrations; prepares and cleanses data; creates data models, reporting, dashboards, and access methods; applies NLP and AI/ML techniques; follows data governance; estimates and plans work for agile sprints with limited supervision.

The Data Engineer I will design and manage data pipelines, integrate ETL processes, ensure data quality, and optimize performance while working with various cloud and on-premises technologies.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.