Top Data Engineer Jobs in Mexico City

As a Data Engineer II, you will enhance data systems, ensure data quality and security, and build scalable solutions using AWS and various data technologies.

The Data Engineer will design and maintain scalable data pipelines, ensuring data accuracy and quality while collaborating with cross-functional teams to support analytics and reporting needs.

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 Clinical Data Engineer will develop data pipelines, ensure data integrity, and implement advanced data solutions for clinical trials, collaborating with various stakeholders.

Lead the evolution of data infrastructure for product intelligence and financial reporting, collaborating with cross-functional teams to build scalable systems and ensure data quality.

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.

The Data Engineer II role involves designing data pipelines, collaborating with teams to implement functionalities, ensuring data quality, monitoring systems, performing testing, and communicating project statuses to stakeholders.

The role involves developing data migration strategies, ensuring accurate data transfer, troubleshooting, and creating documentation while collaborating with clients throughout the process.

The Application Developer II creates and tests software code, collaborates on design and requirements, and resolves defects for intermediate projects.

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

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.

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

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 Data Engineer at Levi Strauss & Co., you will design and maintain data pipelines and ensure data quality while collaborating with cross-functional teams.

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

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 Principal Data Engineer will own the data ecosystem, architect data pipelines, enhance data applications, and set quality standards across data systems while collaborating with cross-functional teams to support analytics and business intelligence.

The Data Engineer will design and maintain systems for data collection and analysis, ensuring seamless data flow and quality for business operations.

Seeking a Data Engineer to build and improve ETL/ELT pipelines, manage data modeling, and integrate APIs for AI-enhanced influencer marketing.

The Data Platform Engineer I role involves building and maintaining infrastructure for decision engines, collaborating with various internal teams, and advising on Event-Driven Data Mesh adoption.

Develop and implement data governance controls and tools, manage metadata, automate processes, and lead data quality assessments while collaborating across teams to enhance data governance practices.

The Data Engineer will build a creative intelligence pipeline, connecting ad data to ETL processes, enabling time-series queries, and documenting the setup for handoff.