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 role involves managing and optimizing metadata management platforms, ensuring compliance, data governance, and assisting with analytics initiatives, alongside user support and training.

The Azure Data Engineer will participate in the software development lifecycle, including design, coding, testing, and documentation of applications, collaborating closely with team members and following best practices.

Lead AWS Data Engineer responsible for designing and implementing cloud-native data solutions, overseeing data migrations, and mentoring engineering teams.

Design and maintain data ingestion frameworks using AWS technologies, ensuring integration with Snowflake, and collaborating across teams for project delivery.

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.

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.