Top Data Engineer Jobs in Mexico

The Associate Data Engineer contributes to project code, core framework, and onboarding of new data engineers while cooperating closely with team members.

As a Data Engineer II, you will enhance data systems, ensure data quality and security, and build scalable solutions using AWS and various data technologies.

The role involves developing data migration strategies, ensuring accurate data transfer, troubleshooting, and creating documentation while collaborating with clients throughout the process.

As a Backend Product Engineer, you'll modernize financial systems by designing, building, and maintaining backend services, ensuring scalability and reliability.

The Data Engineer will develop data architecture, build pipelines, support data solutions, and enhance data-driven decision-making across the enterprise.

The Clinical Data Engineer will develop data pipelines, ensure data integrity, and implement advanced data solutions for clinical trials, collaborating with various stakeholders.

Lead the evolution of data infrastructure for product intelligence and financial reporting, collaborating with cross-functional teams to build scalable systems and ensure data quality.

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.

Seeking a Data Engineer to design, develop, and maintain data processing systems. Requires expertise in Spark Java, Hadoop, and cloud platforms. Role involves optimizing data pipelines and collaborating with stakeholders in a financial context.

Design and implement scalable data pipelines on the Azure platform, optimize reporting solutions with Power BI, and maintain data governance.

The Data Engineer will design and maintain scalable data pipelines, ensuring data accuracy and quality while collaborating with cross-functional teams to support analytics and reporting needs.

This role involves designing and maintaining data processes, ensuring reliable data movement, collaborating with teams, implementing data governance, and analyzing data for insights.

The Data Processing Engineer will ensure the effective deployment of Data Profiles, maintain databases, and collaborate with teams to fulfill data needs while adhering to security standards.

As a Data Engineer at Levi Strauss & Co., you will design and maintain data pipelines and ensure data quality while collaborating with cross-functional teams.

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.

The Cloud Data Engineer Lead will oversee a team responsible for developing cloud data pipelines, improving data quality, and collaborating with various teams to enhance the data platform.

Design, develop, and maintain data pipelines using Databricks and Apache Spark, integrate data from various sources, and collaborate with team members to deliver solutions.

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.

The Data Engineer II role involves designing data pipelines, collaborating with teams to implement functionalities, ensuring data quality, monitoring systems, performing testing, and communicating project statuses to stakeholders.

The Application Developer II creates and tests software code, collaborates on design and requirements, and resolves defects for intermediate projects.

Develop and maintain tools for data processing, deliver solutions for business needs, improve user experiences, and automate communication workflows.

Design and implement data solutions, migrate databases to Azure PaaS, and optimize data architectures. Collaborate with stakeholders and ensure data compliance.

The Azure Data Engineer will design data pipelines, develop SQL queries, optimize Azure solutions, ensure data quality, and collaborate with teams to deliver solutions.

Design and maintain data integration solutions using Microsoft Fabric, develop ETL processes, collaborate with stakeholders, and ensure data quality.

The Data Engineer will analyze business data stories and translate them into technical designs, focusing on building and implementing data products with minimal guidance.