Top Data Engineer Jobs in Mexico City

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 II will enhance data engineering practices, manage data ingestion, promote data quality and security, and collaborate with teams to optimize data solutions.

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 role involves ensuring the security of Mastercard's assets and information, complying with security policies, and reporting violations.

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

The Senior Data Engineer will lead the development of data infrastructure, enabling insights for clinicians and supporting analytics across products and operations.

This Data Engineer role involves basic data analysis, data preprocessing, and visualization, collaborating on data-driven projects, and generating reports.

The Senior Data Engineer will design and maintain ETL pipelines, optimize data processes, manage infrastructure using Terraform, and collaborate with cross-functional teams on data solutions.

As a Data Engineer, you'll implement data extraction, build scalable data processing pipelines, manage data infrastructure, and enforce data governance and best practices.

As a Backend Product Engineer, you'll modernize financial systems by designing, building, and maintaining backend services, ensuring scalability and reliability.

The Data Engineer will design data pipelines, collaborate with teams to deliver AWS solutions, and contribute to code quality and infrastructure building while ensuring exceptional client experiences.

The FBS AWS Engineer leads design and implementation of data products, optimizing data for reporting, and developing data pipelines, ensuring data readiness for analytical uses.

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.

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.

As a Senior Data Engineer, you will design and implement data pipelines, maintain analytics models, and ensure data quality while collaborating with stakeholders.

The Senior Data Engineer will design, implement and maintain AWS-native ETL pipelines, ensuring data integration and operational stability. They will lead technical designs and collaborate on best practices, while primarily coding in Python.

As a Sr. Data Engineer, you will develop data pipelines, manage data quality, collaborate with teams, and leverage cloud technologies for data solutions.

Lead the design and delivery of scalable data solutions, optimizing workflows, enhancing data quality, and mentoring an engineering team in a hybrid role at Salesforce.

As a Staff Data Engineer, you'll design data models and pipelines, mentor engineers, and lead initiatives to enhance Scribd's data platform, ensuring quality and scalability.

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.

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 Software Development Engineer, you will design and implement data pipelines, collaborate with teams, and contribute to innovative data products.

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