Top Data Engineer Jobs in Mexico

Lead and mentor a data engineering team to design, build, and optimize scalable cloud data solutions on Azure. Oversee architecture, code quality, CI/CD, data governance, security, and project delivery while collaborating with stakeholders and resolving complex technical issues.

Design, build, and operate scalable AWS data platforms and pipelines (batch/streaming) for analytics and ML. Implement data ingestion, transformation, governance, knowledge graphs, monitoring, and secure access. Optimize architectures, build tooling and dashboards, integrate enterprise systems, and collaborate cross-functionally to ensure data quality, lineage, and maintainability.

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.

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

Lead data engineering efforts to create scalable ETL pipelines and ensure data integrity for analytics and business intelligence at Launch Potato.

Lead data engineering initiatives to build, manage, and optimize ETL pipelines and data infrastructure, ensuring accurate data for analytics and business intelligence teams. Collaborate cross-functionally to support strategic growth.

Lead scalable data engineering efforts, build and optimize ETL processes, and ensure data integrity across BI and analytics teams.

Lead data engineering efforts, building and optimizing ETL pipelines, managing data lakes, and collaborating with BI and analytics to ensure data quality and usability.

Lead data engineering efforts by building scalable ETL pipelines and data lake infrastructure, ensuring accessible data for cross-functional teams to drive business analytics and intelligence.

Lead data engineering efforts by building scalable ETL and data lake processes, managing data ingestion, and supporting business intelligence teams to enhance analytics and decision-making.

Lead scalable data engineering efforts to build and optimize ETL and data lake processes, ensure data quality, and support cross-functional teams with actionable insights.

Lead scalable data engineering efforts, building ETL pipelines and data lake infrastructure to support decision-making across business units.

The role involves driving process optimization through analytics, developing analytical models, coordinating with data scientists, and implementing digital tools in manufacturing.