Top Data Engineer Jobs in Tijuana

As a Data Engineer, you will design and build scalable analytics pipelines, manage data integrations, and optimize data architecture for large-scale projects.

The Data Architect role involves defining the data strategy, optimizing data schemas, enhancing performance, and collaborating with multiple teams for effective data management.

The Data Engineer will architect and maintain GCP data infrastructure, design lakehouse architecture, develop CI/CD pipelines, and create data models for AI/ML products.

The Data Engineer is responsible for designing and maintaining data pipelines and infrastructure, ensuring data accessibility and quality for analytics and reporting.

Design and maintain data pipelines, optimize Apache Spark processing, manage data solutions in Azure, enforce software engineering practices, and mentor peers.

As a GCP Data Engineer, you will define data quality rules, manage metadata, establish security controls, architect data solutions, and automate data governance processes.

The role involves developing Power BI dashboards, optimizing data models, integrating data sources, troubleshooting SSIS packages, and managing Azure Data Factory jobs.

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.

As a Mid Data Engineer, you will design and maintain data pipelines, collaborate with teams, and ensure data quality and integrity.

The Data Engineer role involves designing, developing, and optimizing data processing solutions ensuring quality and scalability, while adhering to project timelines and technical standards.

The Staff Data Engineer will lead data model design, standardize data engineering practices, modernize orchestration, and establish governance strategies within Dropbox's Analytics team.

Seeking a Data Engineer with 5+ years experience in ETL/ELT design, data analysis, and cloud-based solutions. Responsibilities include building data pipelines, maintaining data warehouses, and collaborating with stakeholders on data initiatives.

The AI Engineer + Data Engineer will develop data pipelines, integrate LLMs for automation, and ensure data quality, collaborating with various teams to deliver impactful data platforms.

Hands-on Senior Data Engineer to design and maintain scalable AWS ETL/ELT pipelines, evolve a data lakehouse with Apache Iceberg, implement governance and security, optimize performance and costs, enable analytics-ready datasets, and ensure reliability, monitoring, and data quality.

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.

Designs, builds, and maintains scalable batch and streaming data pipelines, APIs and integrations; prepares and cleanses data; creates data models, reporting, dashboards, and access methods; applies NLP and AI/ML techniques; follows data governance; estimates and plans work for agile sprints with limited supervision.

The Data Engineer I will design and manage data pipelines, integrate ETL processes, ensure data quality, and optimize performance while working with various cloud and on-premises technologies.

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 design, build, and maintain data pipelines and API integrations to automate document processing and ERP integrations. Responsibilities include developing ETL processes, ensuring data consistency and availability, and supporting real-time data validation and submission to ERP systems.

The Senior Data Engineer will optimize employee communications by defining metrics, designing tracking architecture for GA4, and building dashboards in Looker Studio or Tableau, while analyzing audience data and maintaining data quality.

Lead and mentor a data engineering team to design, build, and optimize scalable cloud data solutions on Azure. Oversee architecture, code quality, CI/CD, data governance, security, and project delivery while collaborating with stakeholders and resolving complex technical issues.

The Senior Data Engineer will design and build scalable data pipelines in Snowflake and dbt, optimize performance, and lead technical efforts while mentoring the team.

Design, build, and maintain scalable Airflow-based data pipelines and reusable components. Implement CI/CD for deployments, enforce data governance and quality, monitor and troubleshoot workflows, document solutions, and mentor teammates on Airflow best practices.

As a Staff Engineer in Data Science, you will leverage your coding skills to tackle client challenges, guide teammates, and enhance solutions for greater success.

The Staff Engineer, Data Science role focuses on leveraging tech skills to enhance team capabilities and provide advanced solutions for client challenges.