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.

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.

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.

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

The Data Engineer will design and maintain scalable ETL/ELT pipelines on Databricks and AWS, optimizing data infrastructure for gaming analytics and decision-making.

Design, build, and optimize Azure-based data pipelines and storage (data lakes/warehouses). Transform and model large datasets, tune performance, and collaborate with data scientists and stakeholders. Mentor junior engineers and deliver solutions within Agile/Scrum processes.

Design, model, and develop the GCP data ecosystem (Cloud Storage, Cloud Functions, BigQuery). Build and optimize data pipelines, data storage architectures, and query performance. Troubleshoot high-impact issues, monitor system performance, and mentor junior engineers. Engage directly with clients and document business/technical requirements.

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

Design, build, and scale data pipelines and analytics solutions across the full data lifecycle. Implement ETL, data modeling, and high-volume data systems using Spark/Scala, Python, Databricks, Airflow, and AWS. Collaborate with stakeholders, contribute to architecture and CI/CD practices, and deliver projects on schedule.

Build, monitor, and troubleshoot data pipelines and transformations for healthcare data. Extract, cleanse, and load data; implement data quality checks; document datasets; support API and EFT integrations; triage incidents; and participate in Agile ceremonies to estimate and deliver data solutions.

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.

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

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.

The Mid Data Engineer is responsible for designing and delivering KPIs, improving data standardization, and enhancing customer experience through analytics.

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.

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.

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

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.

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

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.

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