Top Data Engineer Jobs in Mexico City

As a Data Engineer, you will design and build scalable analytics pipelines, manage data integrations, and optimize data architecture for large-scale projects.

As a Senior Data Engineer, you'll design and implement data solutions, optimize data pipelines, ensure data quality, and collaborate with cross-functional teams to support analytics initiatives.

The Data Engineer will develop and maintain data models, monitor data pipeline performance, and collaborate on data integration projects to enhance business intelligence capabilities.

The Data Engineer will develop and maintain data models, monitor pipelines, collaborate with teams to improve data access, and ensure data quality.

The Data Engineer Manager will oversee data engineers to optimize media performance reporting, manage client reporting projects, ensure data quality, and enhance workflow efficiencies. Responsibilities include collaboration, communication, and onboarding client teams to cloud data solutions.

As a Senior Data Engineer, you will design scalable data pipelines, develop data models, partner with cross-functional teams, and enhance data quality and governance.

The Data Engineer Analyst will design and implement scalable data solutions, ensuring high-quality data pipelines and collaborating with cross-functional 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 AI Engineer & Data Engineer will develop data pipelines, ensure data quality, and integrate AI into workflows for performance reporting and billing reconciliation.

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

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.

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 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.

The Data Engineer will design and develop data pipelines using Azure Data Factory, migrating existing integrations from Boomi, and collaborating with teams to ensure efficient data processes and migration testing.

The Data Engineer role involves designing, developing, and optimizing data processing solutions ensuring quality and scalability, while adhering to project timelines and technical standards.

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 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.

Manage the Databricks environment, implement data governance, oversee data architecture in Snowflake, and handle data pipelines across cloud platforms.

The Looker Data Engineer will develop and optimize Looker data models, automate reporting, and ensure data accuracy using SQL and various cloud technologies.

Lead the design and deployment of AI systems, driving enterprise-scale solutions while mentoring engineers and shaping AI strategy.

The role involves leading AI architecture, designing scalable AI solutions, implementing Generative and Agentic AI, and mentoring teams.

The Lead Data Engineer will develop robust data solutions, optimize data workflows, and ensure data quality while collaborating across teams. Responsibilities include designing search indices, building data architectures, automating data delivery pipelines, and leading AI integration efforts.