Top Data Engineer Jobs in Mexico

The Data Engineer will design, build, and maintain large-scale web scraping and data ingestion pipelines, optimizing performance and ensuring data quality. Responsibilities include collaborating with teams, managing data systems, and enhancing monitoring and documentation.

The Manager, Quality - Business Data Engineer will lead data governance and management, support AI/ML initiatives, and ensure compliance in data solutions while collaborating with various stakeholders.

The Data Engineer will develop and automate analytical models for commodity analytics, collaborate with teams, manage datasets, and implement advanced solutions to enhance data quality and governance.

As a Data Engineer/Scientist, you will build and optimize data pipelines for AI applications, ensuring data quality and collaborating with AI/ML engineers. This entry-level role involves foundational tasks in data management and cloud technologies.

The Data Engineer II designs, builds, and maintains data pipelines and infrastructure, focusing on cloud technologies for analytics and machine learning.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

Design and implement scalable data pipelines on the Azure platform, optimize reporting solutions with Power BI, and maintain data governance.

The Data Analytics Analyst integrates data analysis with industry practices, applies analytical and project management skills, provides training, and ensures compliance while demonstrating effective communication and judgment.

As a Cloud Data Engineer, you will develop automated infrastructure deployment workflows, support data analytics environments using Databricks, and maintain best practices for cloud operations.

Design and build scalable data systems that process product signals for analytics and AI models. Collaborate with cross-functional teams to improve data infrastructure.

Design and implement data pipelines, optimize performance, ensure data quality, model data architecture, and collaborate with data scientists and analysts.

Design, develop, and maintain data pipelines using Databricks and Apache Spark, integrate data from various sources, and collaborate with team members to deliver solutions.

The role involves designing data governance frameworks, enforcing data quality rules, managing data architectures, and ensuring data security on GCP platform.

Develop data acquisition strategies, engineer file parsers, architect data models, create visualizations and dashboards, and communicate technical solutions effectively.

Develop and maintain tools for data processing, deliver solutions for business needs, improve user experiences, and automate communication workflows.

The Azure Data Engineer will design data pipelines, develop SQL queries, optimize Azure solutions, ensure data quality, and collaborate with teams to deliver solutions.

Design and maintain data integration solutions using Microsoft Fabric, develop ETL processes, collaborate with stakeholders, and ensure data quality.

The Senior Data Engineer will design and build data warehouses, develop ETL pipelines, perform data cleansing and validation, and collaborate with cross-functional teams to optimize data delivery and create effective data models.

The Data Engineer will analyze business data stories and translate them into technical designs, focusing on building and implementing data products with minimal guidance.

Design and maintain data ingestion frameworks using AWS technologies, ensuring integration with Snowflake, and collaborating across teams for project delivery.

Design, build, and maintain data pipelines, optimize existing ETL processes, and collaborate with teams to deliver structured datasets and support analytics initiatives.

As a Data Engineer at SunnyData, you will design and build data solutions, support customers, and ensure data quality and governance while working with cloud platforms.

As a Data Engineer, you will implement data extraction solutions, build data processing pipelines, and maintain scalable data infrastructure while ensuring data governance and quality.

As a Data Engineer at Netflix, you will build data pipelines, model data, collaborate with stakeholders, and support marketing and fandom efforts through data-driven insights.

The Power BI Data Engineer will design and maintain analytics solutions, analyze large data volumes, and collaborate on data modeling.