Top Data Engineer Jobs in Mexico

Design, build, and optimize scalable Databricks data pipelines and reporting models. Ensure data quality, create performant Jinja-templated SQL transformations, support CI/CD with GitHub/Jenkins, and collaborate with stakeholders to deliver actionable BI insights focused on advertising and billing data.

The Data Engineer will architect and maintain GCP data infrastructure, design lakehouse architecture, and develop CI/CD pipelines while enabling self-service data access.

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 GCP Data Engineer will implement data quality rules, manage metadata, establish security controls, design data architecture, and automate governance processes.

The Data Architect role involves defining the data strategy, optimizing data schemas, enhancing performance, and collaborating with multiple teams for effective data management.

As a Data Engineer at Netflix, you will build data pipelines, model data, collaborate with stakeholders, and support marketing and fandom efforts through data-driven insights.

The Senior Data Engineer Manager will oversee offshore delivery, develop ETL pipelines, optimize SQL solutions, and ensure data integrity and compliance in a scalable data platform environment.

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 build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

A Data Engineer will build and maintain data infrastructure, focusing on data ingestion, transformation, and modeling to support various teams. Responsibilities include designing data pipelines, ensuring data quality, and collaborating with analytics teams.

Design, build, and optimize enterprise-grade data solutions using Microsoft Fabric. Lead data engineering projects and mentor junior engineers while collaborating with cross-functional teams.

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.

The Lead Data Integration Engineer will own the data integration strategy, provide technical leadership, and develop scalable integration solutions for the Wealth Lending platforms.

Design and develop advanced Power BI dashboards, optimize data models, troubleshoot SSIS packages, and manage code deployments in a DevOps environment.

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

Design, build, and maintain scalable data pipelines and platforms using Databricks, Spark, Delta Lake and BigQuery. Optimize cloud data infrastructure across Azure/GCP/AWS, enforce security and testing practices, collaborate with data scientists and stakeholders, and document/monitor ETL processes to ensure data quality and performance.

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

The Senior AI/ML Engineer will architect and develop AI/ML solutions, collaborate with teams, and ensure deployment compliance, especially in healthcare.

As a Senior Data Engineer, you will design and maintain data architectures, develop ETL/ELT pipelines, implement DataOps practices, and mentor junior engineers while collaborating with stakeholders on data-driven solutions.

Contribute to application systems analysis and programming, implement enhancements, debug, and collaborate on complex business solutions within technology team.

The MCIP Data Engineer develops and optimizes data tools for data capture and analytics to support Aptiv's Material Cost Improvement Program, utilizing technologies like Microsoft Lists and Power BI.

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