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.

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.

The Data Engineer Analyst will design and implement scalable data solutions, ensuring high-quality data pipelines and collaborating with cross-functional 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.

Design, build, and maintain scalable data pipelines for analytics, reporting, and machine learning. Collaborate with data teams to ensure efficient data flow.

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.

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.

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.

The Cloud Data Engineer will develop data pipelines, perform SQL transformations, assist in data modeling, maintain existing pipelines, and collaborate on data solutions.

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 design and maintain scalable ETL/ELT pipelines on Databricks and AWS, optimizing data infrastructure for gaming analytics and decision-making.

Hands-on Senior Data Engineer to design and maintain scalable AWS ETL/ELT pipelines, evolve a data lakehouse with Apache Iceberg, implement governance and security, optimize performance and costs, enable analytics-ready datasets, and ensure reliability, monitoring, and data quality.

The Principal Agentic Data Systems Engineer designs and oversees a digital workforce, enhancing workflows through autonomous agents for data processing, governance, and analytics. The role demands expertise in data architecture, AI orchestration, and technical leadership in a rapidly evolving AI environment.

The Lead Agentic Data Systems Engineer will design and build production-grade data products, maintain AI-driven systems, and ensure effective orchestration of autonomous agent workflows.

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.

The Data Engineer I will design and manage data pipelines, integrate ETL processes, ensure data quality, and optimize performance while working with various cloud and on-premises technologies.

The Mid Data Engineer is responsible for designing and delivering KPIs, improving data standardization, and enhancing customer experience through analytics.

The role involves data collection and management for AI model training at Speechify, focusing on cloud infrastructure and collaboration with AI researchers to enhance data ingestion pipelines.

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