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.

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.

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.

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

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.

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

Design and maintain ETL/ELT data pipelines, manage Snowflake deployments, and optimize data processes for performance. Collaborate with stakeholders to support BI initiatives.

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

As a Software Developer, you will create training data for AI models, audit tool usage, write test cases, and improve technical outputs. No prior AI experience is necessary, but coding skills are critical.

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 Senior Data Engineer, you'll design and implement large-scale data processing systems, develop data pipelines, and ensure infrastructure scalability and reliability, while mentoring team members.

As a Sr. Data Engineer, design and maintain data pipelines, collaborate with teams for data solutions, ensure data integrity, and mentor junior engineers.

Lead the migration of SQL Server and PostgreSQL to Azure SQL. Design and support PaaS and DBaaS offerings while optimizing database instances.

The Sr Data Engineer will design and maintain data pipelines, optimize data processes, and support analytics in GCP, enhancing healthcare data insights.

Design, build, and optimize data pipelines and services ensuring data access and insights. Collaborate with teams using AWS technology.

Seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines, orchestrate workflows, and collaborate with data teams. Strong focus on automation and reliability is essential.

As a Data Backend Engineer, you'll design and maintain backend services for data processing, develop APIs, ensure data quality, and optimize data processes, contributing to Yuno's expansion in the payment infrastructure.

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

The Senior Data Engineer will design, build, and optimize ETL/ELT processes and data pipelines, ensuring data quality and security while collaborating with analytics teams.

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.