Top Data Engineer Jobs in San Diego, CA

The Staff Data Engineer will lead architectural decisions and modernize legacy systems, ensuring high performance of Revecore's data platforms.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Senior Software Engineer will own large-scale data mining workflows, improve ML products through high-quality datasets, and analyze model performance across driving scenarios.

As a Staff Software Engineer focused on Scylla, you'll optimize performance, manage data infrastructure, collaborate on services, and debug production systems.

Staff Data Engineers lead data engineering projects, collaborating across teams, mentoring juniors, and optimizing data pipelines to meet client needs.

Senior Data Engineers build and manage data engineering solutions, collaborate across teams, mentor other engineers, and ensure project alignment with business outcomes.

The Principal Engineer - Data Science leads engineering processes, provides technical consultation, and supports project management while mentoring engineers and driving technical innovations.

The Lead Data Engineer will manage the AI Data Platform, scale data pipelines, ensure data quality, and lead technical strategy for data initiatives.

As a Senior Data Engineer, you will develop and maintain scalable data solutions, ensuring efficiency and reliability in data processing and engineering high-performance solutions for analytics.

The Software Engineer will implement data ingestion for Phare's platform, integrate with healthcare systems, design data pipelines, and ensure data integrity while collaborating with various teams.

Transform raw data into trusted datasets; build and optimize data pipelines; integrate customer data; ensure data quality and reliability.

The Senior Software Engineer, Data will design and maintain data pipelines, develop data products, and enhance product analytics capabilities, ensuring data quality and consistency.

As a Senior Software Engineer, you'll build and maintain data infrastructure, ensuring accurate data ingestion, processing, and storage for our systems, with emphasis on quality and architectural design discussions.

You will design and build data-driven Streamlit apps, automate analytics pipelines, and monitor application performance while collaborating with platform engineers.

The Senior Data Engineer manages data ingestion, develops ETL/ELT pipelines, integrates systems, and guides data management best practices, focusing on Azure technologies.

The Senior Infrastructure Engineer will build and maintain scalable data infrastructure, collaborating with teams to enhance developer productivity and ensure data system performance.

The Senior Data Engineer will lead the development of the data platform, driving strategic vision, architecting data solutions, and mentoring junior engineers while collaborating with teams to meet business objectives.

Responsible for designing, implementing, and enhancing endpoint security products, developing automation solutions, and ensuring software quality. Collaborate with teams for effective user experience and manage release quality.

As a Senior Software Engineer, Data, you'll design and build scalable data pipelines, lead initiatives, mentor others, and drive improvements. You'll work with structured, semi-structured, and unstructured data while ensuring quality and performance.

The role involves designing and implementing data ingestion pipelines, developing components for data transformation, improving platform observability, and collaborating with data consumers.

As a Software Engineer focused on Data Engineering, you'll design and maintain cloud-first data pipelines, collaborating on analytics workloads and researching big data technologies.

The Senior Data Engineer will design and maintain data infrastructure, optimize data pipelines, and support AI/data-driven applications using AWS, Snowflake, and Terraform.

As a Senior Data Engineer, you will develop efficient data pipelines, ensure data integrity, optimize performance, and collaborate with various teams in a dynamic healthcare environment.

The Data Quality Engineer ensures data integrity by developing quality frameworks, monitoring systems, and enhancing data quality standards while ensuring compliance and supporting decision-making.

The Senior Software Engineer will design and maintain systems for efficient data transfer to facilitate NVIDIA's AI workflows, focusing on distributed systems and protocols.