Top Data Engineer Jobs in Tijuana

The Data Engineer will develop and maintain data models, improve data pipelines, ensure data quality, and collaborate with teams on data integration and analytics.

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

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

Develop and maintain data models and pipelines, monitor execution, ensure data quality, and collaborate with teams for improved data accessibility. Participate in troubleshooting and documentation under AWS/Linux environments.

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.

Lead architect and development of AI-driven data infrastructures. Design data pipelines and systems for ML model training and semantic search capabilities.

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

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 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.

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

The role involves analyzing data sources, designing target schemas, creating ETL processes, and developing Power BI dashboards and visualizations.

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

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

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.

As a Lead Data Engineer, you will design and optimize data pipelines, ensure data quality, mentor junior engineers, and support data-driven decisions across the organization.

The role involves designing scalable data platforms, developing ETL patterns, collaborating with various teams, and managing production issues.

As a Data Engineer, you will set the technical direction for a streaming data processing engine, implement it, ensure best practices, and work with teams to prioritize tasks and improve processes.

The Full Stack Developer will design and optimize automation workflows for data discovery, work with Node.js and APIs, and ensure data security.

The Senior Data Engineer will oversee data integration and migration, develop a data warehouse, manage data sets, mentor junior engineers, and consult on data management.

The Senior Data Engineer designs, builds, and maintains data pipelines, ensuring data quality and reliability while leading technical projects and mentoring juniors.

As a Senior Data Engineer, you will build scalable data pipelines, implement ETL processes, and lead technical projects while mentoring junior engineers.

The Senior Data Engineer will support a data migration initiative, ensuring integration and transformation from Snowflake to Azure, using modern tools and cloud infrastructure.

As a Senior Data Engineer, you will design and maintain data pipelines, develop ETL processes, ensure data integrity, and mentor junior engineers. You will work with cloud data solutions and various data technologies to drive data analytics solutions for clients.