Top Data Engineer Jobs in San Diego, CA

Lead the design and development of AI agent solutions with expertise in multi-agent coordination, distributed systems, and cloud infrastructure. Build benchmarks, APIs, and SDKs while driving team performance and architecture decisions.

As a Senior Engineer on the Finance + Data Team, you'll architect systems, automate workflows, and develop AI-enabled insights to enhance decision-making and drive business impact.

The Senior Data Engineer will build and scale data assets, improve data quality, create data pipelines, and enhance platform capabilities in a cross-functional setting.

As a Senior Data Platform Engineer, you'll design data infrastructure and APIs, develop scalable data pipelines, and collaborate with teams on data solutions.

Lead the design and implementation of data pipelines and systems, mentor engineers, and ensure data quality for analytics and ML applications.

The Senior Analytics Engineer will design and maintain data models, develop user-facing data products, optimize BI systems, and troubleshoot data pipelines while ensuring data quality and security standards.

The Senior AI Data Engineer will design and maintain datasets for AI models in cybersecurity, ensuring data quality and relevance while collaborating with teams.

Seeking experienced Data Engineers to manage data availability, support AI applications, and create dashboards for critical users in the Intelligence Community. Candidates should be self-motivated, familiar with various tools, and able to work on-site at the Pentagon.

Seeking a Data Engineer with 5+ years of experience in designing and deploying secure cloud solutions, enhancing project efficiency, and implementing DevSecOps practices within a fully remote role.

The Senior Data Engineer II designs and maintains data pipelines, supports machine learning workflows, and collaborates with product teams to enhance data integration and analytics.

As a Senior Data Platform Engineer, you will oversee the administration of Databricks and AWS, manage data engineering dev ecosystems, collaborate with teams on data needs, and mentor junior staff.

The Data Engineer will design and maintain scalable data systems, optimize data pipelines, ensure data governance, and support analytics initiatives. The role involves collaboration with cross-functional teams to enhance data-driven decision-making and operational support for existing infrastructures.

The role involves designing data pipelines, creating dashboards, developing Python and SQL components for automation, maintaining cloud infrastructure, and collaborating on project objectives.

In this client-facing role, you will design and implement scalable data solutions, guide clients in optimizing data environments, and support long-term data infrastructure strategy.

Develop and maintain software applications for data processing, collaborate with teams to meet data requirements, and implement data quality checks.

The Azure Data Engineer will design and maintain data pipelines using Azure technologies, optimize data flows, and ensure data quality, collaborating with various stakeholders.

As a Data Engineer, you will design and maintain data pipelines, transform raw sources into clean, reliable data streams and tackle technical challenges.

As a Data Engineer, you'll create scalable data pipelines, manage databases, support analytics, and collaborate with teams using various cloud services.

The role involves data pipeline development and management using Azure stack, Scala, and Kafka, while ensuring data quality and efficiency with strong analytical skills.

The Gen AI Data Engineer will design and build distributed data systems, develop data pipelines, manage data infrastructure, and integrate technologies for real-time and batch processing, contributing to scalable analytics solutions.

Develop database designs and architecture in Azure, secure data migrations, and conduct data profiling while collaborating with teams on technical designs.

As an Azure Data Engineer, you'll design and maintain data solutions on Azure, collaborate with teams, optimize ETL/ELT processes, and ensure data governance.

Design, implement, and optimize ETL pipelines, ensuring data quality and flow, while collaborating with stakeholders in healthcare technology.

The Data Engineer will design and maintain ETL pipelines, optimize data models, develop exporters, and ensure reliable data services for the Lambda app in a fast-paced startup environment.

As a Founding AI/Data Engineer, you'll design and build AI-driven products, collaborate across teams, and ensure system reliability while enhancing user experiences.