Top Data Engineer Jobs in San Diego, CA

As a Distinguished Data Engineer at Capital One, you'll drive adoption of technology, collaborate on data challenges, mentor talent, and influence stakeholders.

The Data Engineer will develop and optimize ETL pipelines and systems in Google Cloud Platform, collaborating with engineers and scientists to support B2B data solutions.

The Senior Data Engineer will create scalable data pipelines and manage unstructured data for AI/ML workflows, ensuring data quality and supporting data solutions. Collaboration with cross-functional teams to meet business and security objectives is key.

Build and refine data assets and products, integrate and model data from multiple sources, and develop data pipelines with automated quality checks.

Design and build a comprehensive data ecosystem, leading vendor selection and hands-on development while collaborating with leadership on data strategy.

Responsible for designing, building, and deploying data pipelines, supporting customer implementations, and collaborating with data scientists on health data integration.

The Staff Data Engineer will build and maintain data pipelines for ML models in a collaborative team, focusing on quality and scalability, within a remote work setting.

The Python-ETL Data Developer will assist in onboarding client data into MySQL, support Snowflake offerings, and improve documentation. Key skills include Python and database experience.

The Data Engineer will build and maintain data pipelines, contribute to architecture decisions, support data governance, and mentor peers, focusing on scalability and reliability.

As a GCP Data Engineer Manager, you'll lead data engineering projects, develop data architectures, mentor teams, and enhance data solutions for clients.

The Data Engineer will design, maintain ETL pipelines, collaborate on data products, and improve data infrastructure to ensure reliable data access across stakeholders.

As a Staff Data Platform Software Engineer, you will enhance the data architecture and performance of the ServiceNow AI Platform, troubleshoot issues, and mentor junior engineers in a complex codebase.

Design and implement components of the Trino engine, optimize query processing, build deployment solutions, and tackle distributed systems challenges.

The Principal Data Engineer will lead data architecture, engineering, and governance initiatives, mentor teams, and ensure data quality and compliance with industry regulations while collaborating cross-functionally to meet business needs.

As a Principal Software Engineer, you will lead software development on data security and governance projects, collaborating with Agile teams and utilizing advanced technologies for prototyping and innovation.

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 an AI/LLM Data Engineer, you'll drive innovation in AI model applications, focusing on prompt engineering, system design, and data analysis, while collaborating with cross-functional teams.

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

The Azure Data Engineer will develop and support Azure data solutions, coordinate deliverables, and ensure integration of Microsoft Cloud services for clients and internal projects.

The role involves designing and building scalable APIs and microservices, collaborating with teams to align technical work with business goals, and driving operational excellence in data engineering.