Top Data Engineer Jobs in Mexico

Design, build, and optimize enterprise-grade data solutions using Microsoft Fabric. Lead data engineering projects and mentor junior engineers while collaborating with cross-functional teams.

Seeking a Data Engineer with 5+ years experience in ETL/ELT design, data analysis, and cloud-based solutions. Responsibilities include building data pipelines, maintaining data warehouses, and collaborating with stakeholders on data initiatives.

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 develop advanced Power BI dashboards, optimize data models, troubleshoot SSIS packages, and manage code deployments in a DevOps environment.

The Data Engineer will modernize data infrastructure, design data pipelines, support analytics, and ensure data quality for logistics and distribution.

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 AI Data Engineer role focuses on building and maintaining data pipelines to support AI/ML models, ensuring high-quality datasets for analysis.

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 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 Flow Engineer will manage systems automation, Linux administration, and develop cloud solutions using various tools and languages, while ensuring system stability and security.

Responsible for system design, automation, and improving engineering best practices, focusing on data compliance and the developer experience through collaboration and leadership on key initiatives.

The Big Data Developer participates in application system development, programming, problem-solving, and supports users while ensuring compliance and security standards are met.

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.

Design and deploy machine learning models and data solutions, collaborating with teams to solve business problems across a venture portfolio.

The Senior Data Engineer will design and implement data solutions, focusing on scalable data models and pipelines, while collaborating with analytics teams.

The Senior Data Engineer will design and maintain scalable data processing systems, ensuring data integrity and performance while collaborating with Data Science teams on ML solutions.

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

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

As a Senior Site Reliability Engineer, you'll enhance the reliability and scalability of data infrastructure, manage cloud solutions, automate deployments, and ensure compliance and performance monitoring.

Lead the design, development, and delivery of enterprise-grade Business Intelligence solutions while mentoring junior team members and ensuring high-quality delivery.

Design and maintain scalable data models and pipelines, integrating data via APIs, with a focus on SQL, Python, and Snowflake.

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