Top Data Engineer Jobs in Mexico

The Senior Data Engineer will design and develop data warehousing solutions, optimize data performance, manage data platforms, and collaborate with cross-functional teams to fulfill business requirements.

As a Senior Software Engineer, you'll design and support data pipelines for ML and AI workflows, enhance data quality, and mentor junior engineers.

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

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

The AI Applications Engineer will design and develop AI-powered applications, automate workflows, maintain internal tools, and collaborate with teams to enhance business insights.

Responsible for developing and supporting data platform infrastructure, collaborating with teams to provide data solutions and mentoring junior engineers.

Design and implement data pipelines and products, collaborating across teams to enhance data accessibility and support business needs.

The Senior Data Engineer will enhance Arkham's Data Platform with a focus on Lakehouse architecture, manage data pipelines, and ensure data quality across the lifecycle.

Lead data engineering efforts to create scalable ETL pipelines and ensure data integrity for analytics and business intelligence at Launch Potato.

Lead data engineering initiatives to build, manage, and optimize ETL pipelines and data infrastructure, ensuring accurate data for analytics and business intelligence teams. Collaborate cross-functionally to support strategic growth.

Lead scalable data engineering efforts, build and optimize ETL processes, and ensure data integrity across BI and analytics teams.

Lead data engineering efforts, building and optimizing ETL pipelines, managing data lakes, and collaborating with BI and analytics to ensure data quality and usability.

Lead data engineering efforts by building scalable ETL pipelines and data lake infrastructure, ensuring accessible data for cross-functional teams to drive business analytics and intelligence.

Lead data engineering efforts by building scalable ETL and data lake processes, managing data ingestion, and supporting business intelligence teams to enhance analytics and decision-making.

Lead scalable data engineering efforts to build and optimize ETL and data lake processes, ensure data quality, and support cross-functional teams with actionable insights.

Lead scalable data engineering efforts, building ETL pipelines and data lake infrastructure to support decision-making across business units.

The role involves driving process optimization through analytics, developing analytical models, coordinating with data scientists, and implementing digital tools in manufacturing.

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, build, and maintain scalable data pipelines and platforms using Databricks, Spark, Delta Lake and BigQuery. Optimize cloud data infrastructure across Azure/GCP/AWS, enforce security and testing practices, collaborate with data scientists and stakeholders, and document/monitor ETL processes to ensure data quality and performance.

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

As a Senior Data Engineer, you will design and maintain data architectures, develop ETL/ELT pipelines, implement DataOps practices, and mentor junior engineers while collaborating with stakeholders on data-driven solutions.

The Senior Data Engineer I will design and implement robust data solutions, ensure high-quality data delivery, and improve data platform reliability. Collaboration across teams to enhance data sharing and decision-making is key to this role.

The Senior Data Engineer will lead the development of scalable data systems, optimize architecture for data processing, and mentor other engineers. Responsibilities include designing data solutions, evaluating new tools, and ensuring data quality and observability.

As a Senior Developer, you maintain product master data management tools, analyze complex issues, compile user feedback, and ensure coding standards are met.