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.

Design, build, and optimize ETL/data pipelines; model and maintain Snowflake data structures using Kimball principles; implement DBT transformations and Airflow orchestration; enhance data observability; create dashboards and workflows; collaborate with stakeholders to deliver analytics and automation.

As a Senior Data Engineer, you will design scalable data pipelines, develop data models, partner with cross-functional teams, and enhance data quality and governance.

As an ETL Data Engineer, you will design and maintain data integration processes using Python and Azure Synapse Analytics, ensuring data accuracy for analytics. Responsibilities include data warehousing, performance tuning, troubleshooting, and collaborating with teams to meet data requirements.

As an ETL Data Engineer, you will design, develop, and maintain data integration processes using Python and Azure Synapse Analytics, ensuring data accuracy and availability for insights and decision-making.

Responsible for managing data acquisition, curation, and publishing for analytics, developing data products, and creating scalable data pipelines.

As a Data Engineer, you will enhance the US Gas product by building data scrapers, improving APIs, and collaborating on features with the product team.

Design and build scalable Snowflake-based data models, analytical cubes, and high-performance data pipelines using SQL and Python. Integrate data via APIs, collaborate with cross-functional teams to support reporting and analytics, and enforce best practices in data architecture and pipeline performance.

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

Build and maintain large-scale data structures and ETL pipelines using Python and SQL. Design data marts and models, integrate data sources, ensure data quality, and collaborate with cross-functional teams to operationalize analytics on cloud platforms.

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 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 Looker Data Engineer will develop and optimize Looker data models, automate reporting, and ensure data accuracy using SQL and various cloud technologies.

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.

Lead AWS Data Engineer responsible for designing and implementing cloud-native data solutions, overseeing data migrations, and mentoring engineering teams.

The Azure Data Engineer will participate in the software development lifecycle, including design, coding, testing, and documentation of applications, collaborating closely with team members and following best practices.

The Data Engineer will design and develop data pipelines using Azure Data Factory, migrating existing integrations from Boomi, and collaborating with teams to ensure efficient data processes and migration testing.

The AI Engineer & Data Engineer will develop data pipelines, ensure data quality, and integrate AI into workflows for performance reporting and billing reconciliation.

As an AI Data Engineer, you will build end-to-end data pipelines, collaborate on AI features, and ensure data quality across our systems.

As an ETL Data Engineer, you'll develop and maintain data integration processes, optimize ETL jobs, and ensure data accuracy using Python and Azure Synapse Analytics.

As an ETL Data Engineer, develop and maintain data integration processes using Python and Azure Synapse Analytics, ensuring data accuracy for insights.

The role involves understanding customer processes, validating technical designs of applications, estimating project efforts, supporting implementation activities, and mentoring colleagues in application architecture.

Build and maintain BigQuery data pipelines, map warehouse schemas, and craft SQL to feed LLMs. Develop Claude Skills and Gemini Gems, collaborate on prompts, validate AI outputs, and design AI agents to automate eCommerce analytics and operational workflows.

Lead design, development, and optimization of cloud-native data platforms and ETL/ELT pipelines. Architect data models, enforce engineering best practices, implement orchestration (Airflow/dbt), monitoring, and data quality frameworks. Mentor engineers, drive architectural decisions, ensure security and governance, and support analytics and machine learning initiatives across teams.

Manage the Databricks environment, implement data governance, oversee data architecture in Snowflake, and handle data pipelines across cloud platforms.