Top Data Engineer Jobs in Mexico

The Senior GIS Data Engineer will manage GIS data engineering projects, transforming geospatial data using various technologies, and provide consultancy for data integration. They will also improve processes and collaborate across teams to enhance efficiency and quality.

As a GIS Data Engineer II, you will manage GIS data projects, create geospatial products, provide consultancy, and enhance tools using advanced technologies.

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.

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.

The Data Engineer will design and develop reusable workflows, build scalable data pipelines, deploy data solutions, and automate data processes using Snowflake and SQL.

The Data Engineer will design and develop a unified data platform, manage data pipelines, integrate data sources, support ML models, and collaborate across teams to deliver data products.

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 Data Engineer will design and deploy data infrastructure, automate pipelines, and collaborate with teams to enhance data utilization for business solutions.

The Data Engineer will build data pipelines, optimize data storage, and collaborate with teams to deliver technical solutions on the Azure platform. The role involves mentoring junior engineers and requires experience in agile methodologies.

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.

In this role, you will analyze data to create actionable insights, develop predictive models, and collaborate with stakeholders for data-driven decision making while leading cloud data modernization initiatives.

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

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.

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

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.

Manage the Databricks environment, implement data governance, oversee data architecture in Snowflake, and handle data pipelines across cloud platforms.

The Looker Data Engineer will develop and optimize Looker data models, automate reporting, and ensure data accuracy using SQL and various cloud technologies.

The role involves designing and optimizing data workflows, building ETL/ELT pipelines, and implementing reverse ETL solutions while ensuring data quality across platforms.

As a Senior Site Reliability Engineer II, you'll enhance SRE capabilities, focusing on data protection technologies, build monitoring and automation solutions, troubleshoot systems, and support diverse teams.

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.