Top Data Engineer Jobs in Tijuana

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.

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 design and implement ETL/ELT processes, maintain data warehouses, and optimize data pipelines while collaborating with stakeholders.

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 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.

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 Data Engineer will design and implement data solutions, manage ETL processes, ensure data quality, and collaborate on data analytics projects.

Seeking a Senior Data Engineer to design and maintain data processing workflows and warehouses, ensuring system reliability and data accuracy. Requires collaboration with stakeholders to translate data needs into technical specifications.

Lead the design and implementation of a modern data architecture, manage ETL pipelines, ensure data quality, and collaborate with cross-functional teams.

The Staff Data Engineer will design and implement data ingestion and transformation solutions on cloud platforms while providing technical leadership and support to product teams.

As a GTM Data Engineer, you will build and maintain data pipelines, API integrations, and tools for the Go-To-Market team, focusing on automation and data optimization.

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

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

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.

We are looking for a Senior Data Engineer to oversee our database layer, implementing database technologies like Postgres and Spark, focusing on business initiatives.

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

The Sr. Data Engineer will develop cloud-based BI and analytics services, translating business requirements into actionable reports and dashboards while ensuring data quality and integrity.

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 Data Quality Engineer ensures high-quality data through automated and manual quality checks, working collaboratively with various teams and documenting processes.

Design, build, and optimize data pipelines for applications, ensuring scalability, performance, and security while collaborating with data scientists and software engineers.

The Senior Data Engineer will manage data infrastructure, develop ETL/ELT pipelines, ensure data quality, mentor the team, and collaborate across departments to enhance data-driven insights.

Design, build, and support features for developers, ensuring reliability and scalability of systems, and contributing to product direction.