Top Data Engineer Jobs in Mexico

The Data Engineer will transform data for analytics, evaluate data quality, perform analytics requests, and document processes while working in an Agile environment.

The Senior Data Engineer will design and maintain ETL pipelines, optimize data processes, manage infrastructure using Terraform, and collaborate with cross-functional teams on data solutions.

Lead architect and development of AI-driven data infrastructures. Design data pipelines and systems for ML model training and semantic search capabilities.

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

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.

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.

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 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.

As a Data Engineer, you will design and implement data processes, optimize ETL pipelines, and support data solutions using Databricks and various cloud technologies.

Develop and maintain data pipelines in Snowflake, implement predictive models, and collaborate with stakeholders to support analytics and AI-driven insights.

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

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.

The Quality Systems Data Architect designs and supports quality information systems, administrates databases, and maintains documentation, tools, and server infrastructure.

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.

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

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.

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

The role involves analyzing data sources, designing target schemas, creating ETL processes, and developing Power BI dashboards and visualizations.

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 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.