Top Data Engineer Jobs in Mexico City

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, automate report generation, and ensure data quality while collaborating with various teams.

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

Design, build, and maintain scalable data and ML pipelines, manage vector stores and RAG workflows, integrate LLM frameworks for training and inference, enable semantic search and AI-driven BI, and document data processes while partnering with stakeholders.

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.

Lead operations engineer responsible for installing, configuring, monitoring, troubleshooting and maintaining secure data transfer systems. Collaborates with customers, vendors and internal teams, writes automation scripts and AI prompts, manages servers, networks, firewalls, keys and encryption, and uses cloud and API integrations to ensure reliable data flows.

As part of the data science team, you will analyze insurance data, create mathematical models, and optimize algorithms based on client feedback.

The Staff Data Engineer will manage product analytics architecture, drive data modeling standards, design data systems, and provide technical leadership across teams to improve data insights and product capabilities.

Design, build, and operate scalable data pipelines and cloud solutions, focusing on monitoring and automation while working with AWS services.

As a Senior Data Engineer, lead projects in designing and maintaining data pipelines, improving production systems, and collaboration with cross-functional teams.

As a Senior Data Engineer, you will design, build, and deploy data solutions, guide customers, and ensure data quality and governance.

Design and build self-service analytics portals and responsive dashboards. Integrate data pipelines from Databricks, S3, Salesforce and internal APIs. Implement secure auth and role-based access. Collaborate with product and data teams, remain hands-on, and mentor junior developers to deliver scalable, customer-facing analytics experiences.

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.

Design, build, and maintain scalable data pipelines and AWS data platform services focusing on AWS technologies and collaboration with data 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 Senior Data Engineer develops and manages data management solutions on AWS, focusing on building cloud-native data platforms, ETL jobs, and optimizing database performance.

Lead the development, optimization, and scaling of data solutions. Design and maintain data pipelines using Databricks and collaborate with multidisciplinary teams to define requirements.

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

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.

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 Data Engineering Architect, lead the transformation of data engineering into a modern platform, oversee architecture and technical leadership, design scalable systems, ensure data quality and governance, and mentor teams for a data-driven culture.

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

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