Top Data Engineer Jobs in Mexico

Design and maintain end-to-end data pipelines using Microsoft Fabric and Azure Synapse, ensuring data quality and performance optimization while collaborating with cross-functional teams.

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

The role involves designing and maintaining data pipelines, developing ETL/ELT processes, building Power BI dashboards, and ensuring data quality and governance.

The Senior AI/ML Engineer will architect and develop AI/ML solutions, collaborate with teams, and ensure deployment compliance, especially in healthcare.

The MCP Solutions Architect supports client integrations, troubleshoots technical issues, and bridges customer engineering and internal AI engineering teams, focusing on AI adoption.

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

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.

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.

Design and implement data solutions for hotels globally, leveraging cloud-based decision support with a focus on data infrastructure and ETL processes.

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

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.

As a Senior Software Engineer, you will develop core data pipeline components for an AI-native data warehouse, oversee feature delivery, and ensure data quality and reliability.

As a Staff Software Engineer, you'll design and deliver a core data platform, focusing on architecture, pipeline components, and AI integration. This hands-on role emphasizes creating production code and establishing technical standards within a small team.

The Principal Engineer will oversee data infrastructure, optimizing databases, and facilitating data systems for high volume processing while integrating new technologies.

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.

Lead the migration of SQL Server and PostgreSQL to Azure SQL. Design and support PaaS and DBaaS offerings while optimizing database instances.

Design, build, and operate scalable batch and real-time data pipelines and lakehouse solutions. Own end-to-end data flows, integrate ML/AI workloads with products, collaborate with cloud/DevOps teams, evaluate new technologies, and ensure production reliability and SLA-driven delivery.

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.

The ML Engineer will design, build, and operationalize AI systems for unstructured data, developing ML pipelines and collaborating with Data Scientists and Engineers to deliver scalable AI solutions.

The Data Quality Engineer ensures the quality and integrity of data in studies, developing measurement systems, automation, and conducting analysis to uphold standards across projects.

The Lead Data Integration Engineer will own the data integration strategy, provide technical leadership, and develop scalable integration solutions for the Wealth Lending platforms.

Design and build scalable data infrastructure and pipelines for multiple ventures, implement ETL processes, and enhance data workflows with GenAI capabilities.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, collaborate on machine learning models, and support analytics initiatives for various business teams.

Design, build, and maintain AI-powered applications and automation workflows; integrate AI with enterprise systems, databases, and APIs; maintain legacy and Ruby production systems connected to Snowflake; develop ETL pipelines and reports; work in Linux environments, manage remote systems, reverse engineer undocumented systems, and collaborate with BI, analysts, and stakeholders to deliver practical, business-focused AI solutions.