Top Data Engineer Jobs in Mexico City

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.

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 optimize Azure-based data pipelines and storage (data lakes/warehouses). Transform and model large datasets, tune performance, and collaborate with data scientists and stakeholders. Mentor junior engineers and deliver solutions within Agile/Scrum processes.

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.

Design, build, and optimize ETL/ELT pipelines to ingest Salesforce and Jira into Snowflake; implement transformations, data quality checks, monitoring, and governance; collaborate with Power BI developers, admins, and analysts; produce technical documentation and participate in Agile delivery.

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 scale data pipelines and analytics solutions across the full data lifecycle. Implement ETL, data modeling, and high-volume data systems using Spark/Scala, Python, Databricks, Airflow, and AWS. Collaborate with stakeholders, contribute to architecture and CI/CD practices, and deliver projects on schedule.

Build, monitor, and troubleshoot data pipelines and transformations for healthcare data. Extract, cleanse, and load data; implement data quality checks; document datasets; support API and EFT integrations; triage incidents; and participate in Agile ceremonies to estimate and deliver data solutions.

The Senior Databricks Engineer will design, build, and maintain scalable data pipelines, optimize ETL/ELT processes, and ensure data quality and governance while collaborating with teams to meet data requirements.

The Data Engineer is responsible for designing and maintaining data pipelines and infrastructure, ensuring data accessibility and quality for analytics and reporting.

Analyze existing integrations and rebuild ETL/ELT pipelines in Azure Data Factory. Design, develop, schedule, monitor, and optimize data movement and transformations. Connect ADF to sources/targets (Oracle, Azure SQL, files, APIs), implement parameterization, retry logic, and alerting. Perform mapping, validation, testing, documentation, deployments, and production cutover while collaborating with database engineers, QA, architects, and business teams.

Responsible for managing data acquisition, curation, and publishing for analytics, developing data products, and creating scalable data 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.

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

As a Data Engineer, you will enhance the US Gas product by building data scrapers, improving APIs, and collaborating on features with the product team.

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.

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.