Top Data Engineer Jobs in Mexico

Monitor daily data intake across API, email, and FTP channels; perform QA to detect inconsistencies or trends; resolve data pipeline issues; document findings and follow procedures; and propose process/product improvements while working shift-based hours.

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.

Lead evaluation and benchmarking of enterprise-scale graph databases. Extract, transform, and load data from Databricks into multiple graph platforms, implement benchmark workloads and APIs, analyze query plans and indexing, provision test environments, document results, and advise architects and leaders on technical trade-offs and recommendations.

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

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.

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 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.

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.

Plan and execute end-to-end data migrations for Legal Tracker: extract, clean, transform, validate, load, and reconcile data. Build mappings, prepare import/export files, write SQL, run mock migrations, troubleshoot errors, and collaborate with stakeholders to ensure auditable, accurate legal operations data conversions.

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.

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.

Design and maintain data pipelines, optimize data processing with PySpark on Databricks, ensure data quality, and collaborate on data architecture 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.

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.

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.

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

Design, build, and maintain scalable Snowflake-based data ingestion and ETL pipelines. Transform, normalize, and validate large datasets using Python and SQL, implement data quality checks and monitoring, support file ingestion workflows, document processes, and collaborate with stakeholders to deliver reliable datasets for analytics and business workflows.

Build and maintain high-performance, fault-tolerant distributed backend services and data pipelines for large genomic and health datasets. Design storage, indexing, and async event workflows; optimize latency, throughput, and reliability. Partner with bioinformatics and product teams to validate scientific accuracy and guard AI-driven responses.

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