Top Data Engineer Jobs in Mexico City

The Data Engineer will design, build, and maintain large-scale web scraping and data ingestion pipelines, optimizing performance and ensuring data quality. Responsibilities include collaborating with teams, managing data systems, and enhancing monitoring and documentation.

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.

This Data Engineer role involves basic data analysis, data preprocessing, and visualization, collaborating on data-driven projects, and generating reports.

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.

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

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

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

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 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.

Design and build scalable data systems that process product signals for analytics and AI models. Collaborate with cross-functional teams to improve data infrastructure.

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

As a Sr. Data Engineer, you will develop data pipelines, manage data quality, collaborate with teams, and leverage cloud technologies for data solutions.

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

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 Principal Data Engineer will own the data ecosystem, architect data pipelines, enhance data applications, and set quality standards across data systems while collaborating with cross-functional teams to support analytics and business intelligence.

Seeking a Data Engineer to build and improve ETL/ELT pipelines, manage data modeling, and integrate APIs for AI-enhanced influencer marketing.

The Data Platform Engineer I role involves building and maintaining infrastructure for decision engines, collaborating with various internal teams, and advising on Event-Driven Data Mesh adoption.

The Data Engineer will build a creative intelligence pipeline, connecting ad data to ETL processes, enabling time-series queries, and documenting the setup for handoff.

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.

As a Lead Data Engineer, you will design and optimize data pipelines, ensure data quality, mentor junior engineers, and support data-driven decisions across the organization.

We are seeking experienced Senior Data Engineers to design and optimize data systems and architectures using cloud technologies to support data pipelines.

The Senior Data Engineer will design, implement, and optimize data platforms, ensuring performance and quality 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.