Top Data Engineer Jobs in Mexico City

As an Analytics Engineer II, you will design and maintain data models, build pipelines, ensure data quality, and collaborate with teams to support decision-making.

The Data Engineer II will enhance data systems and management, collaborate with various teams, and expedite data accessibility while ensuring data quality and governance standards.

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.

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.

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.

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

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

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 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.

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.

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.

As a Data Engineer, you will set the technical direction for a streaming data processing engine, implement it, ensure best practices, and work with teams to prioritize tasks and improve processes.

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

Lead architect and development of AI-driven data infrastructures. Design data pipelines and systems for ML model training and semantic search capabilities.

Design and maintain ETL/ELT data pipelines, manage Snowflake deployments, and optimize data processes for performance. Collaborate with stakeholders to support BI initiatives.

Design and implement data pipelines and products, collaborating across teams to enhance data accessibility and support business needs.

As a Software Development Engineer, you will design and implement data pipelines, collaborate with teams, and contribute to innovative data products.

Design and implement data pipelines, mentor junior engineers, and contribute to a high-performing team in building data products for real estate analytics.

Responsible for developing and supporting data platform infrastructure, collaborating with teams to provide data solutions and mentoring junior engineers.

The Senior Software Engineer will design scalable data pipelines, ensure performance and reliability, and mentor junior engineers while collaborating across teams.

The Senior Software Engineer will design and implement data pipelines, mentor junior engineers, and collaborate on data products for analytics.

Build and optimize data pipelines and models, maintain cloud data warehouse, set engineering standards, and collaborate with teams.

We are looking for a Senior Data Engineer to oversee our database layer, implementing database technologies like Postgres and Spark, focusing on business initiatives.

The Software Engineer II will design and optimize distributed systems for processing metadata, collaborating closely with cross-functional teams to integrate machine learning models into production pipelines.