Top Data Engineer Jobs in Mexico City

Lead the evolution of the data stack, build scalable data systems, collaborate across teams for insights, and manage the entire data lifecycle from ingestion to consumption.

The Data Engineer will develop and maintain data models, monitor data pipelines, ensure data quality, collaborate on BI tools, and support integrations.

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

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.

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.

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.

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.

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

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

As a Staff Data Engineer, you'll design data models and pipelines, mentor engineers, and lead initiatives to enhance Scribd's data platform, ensuring quality and scalability.

The Senior Data Engineer will lead the development of scalable data systems, optimize architecture for data processing, and mentor other engineers. Responsibilities include designing data solutions, evaluating new tools, and ensuring data quality and observability.

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.

As a Software Developer, you will create training data for AI models, audit tool usage, write test cases, and improve technical outputs. No prior AI experience is necessary, but coding skills are critical.

The Data Engineer will design and maintain systems for data collection and analysis, ensuring seamless data flow and quality for business operations.

As a Data Engineer, you will implement data extraction solutions, build data processing pipelines, and maintain scalable data infrastructure while ensuring data governance and quality.

The Lead Software Engineer will build scalable data pipelines, integrate APIs, and mentor juniors while ensuring data quality and performance. Responsibilities include technical leadership and collaboration with cross-functional teams to drive innovation.

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.