Top Data Engineer Jobs in Mexico

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

Design and develop scalable data pipelines processing petabytes of data, working with analysts and AI teams to deliver reliable, production-quality datasets.

Lead and design Business Intelligence solutions, providing technical guidance, mentoring junior professionals, and ensuring delivery quality in enterprise environments.

The Senior Data Engineer will design and maintain ETL pipelines, automate report generation, and ensure data quality while collaborating with various teams.

Design, build, and maintain scalable and reliable data pipelines, implementing ETL workflows and optimizing Snowflake solutions, while collaborating with data scientists and engineers.

The Machine Learning Engineer / Data Scientist will build and deploy machine learning solutions, translating business needs into ML problems, working with data analysis, model development, and productionization tasks.

As a Software Engineer, you'll design, build, and maintain data platform products, ensuring operational excellence and high availability while collaborating with internal teams and contributing to open-source tools.

Lead the architectural vision and strategy for a core data platform at JLL, integrating siloed systems and enabling advanced analytics and AI workflows.

The Senior Data Engineer will design and build a scalable data platform, integrating data sources, developing applications, and enabling AI/ML features for stakeholders.

Lead the development of data infrastructure by creating scalable ETL/ELT pipelines, managing data flows in AWS, and ensuring data governance while building data models with dbt.

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.

The Software Engineer will support data collection for AI model training, manage cloud infrastructure, and collaborate with scientists to enhance data quality and throughput.

This role involves finding audio data sources, managing cloud infrastructure for data ingestion, and collaborating on dataset roadmaps for AI models.

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

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

The Senior Data Engineer will lead the development and maintenance of data pipelines, ensuring data governance and performance in a collaborative Agile environment.

The MCIP Data Engineer develops and optimizes data tools for data capture and analytics to support Aptiv's Material Cost Improvement Program, utilizing technologies like Microsoft Lists and Power BI.

The role involves building and operationalizing an Observability Lakehouse for threat detection and platform visibility using various data technologies, collaborating closely with security teams.

Drive quality assurance strategy for data migration projects, validating data integrity and automation using AWS technologies and Python scripts.

Design, build, and maintain scalable Airflow-based data pipelines and reusable components. Implement CI/CD for deployments, enforce data governance and quality, monitor and troubleshoot workflows, document solutions, and mentor teammates on Airflow best practices.

As a Staff Engineer in Data Science, you will leverage your coding skills to tackle client challenges, guide teammates, and enhance solutions for greater success.

The Staff Engineer, Data Science role focuses on leveraging tech skills to enhance team capabilities and provide advanced solutions for client challenges.

As a Senior Data Engineer, you will build and optimize data pipelines, collaborate with teams on data needs, and enhance data visualization tools.

Looking for a Senior Data Engineer to design data pipelines using AWS, integrate data sources, ensure data quality, and mentor junior engineers.

The Data Quality Engineer will implement a data quality framework, validate data pipelines, and collaborate with Data Engineering to ensure accurate data across platforms.