Top Data Engineer Jobs in San Diego, CA

The Staff Data Engineer will develop data pipelines, ensure data quality, and build analytical tools, particularly focusing on blockchain data. Responsibilities also include data modeling and collaboration with cross-functional teams.

The Senior Data Engineer will design and build marketing data products, collaborating across teams to optimize datasets and ensure data quality.

As an Epic Cogito Data Engineer, you'll manage reporting projects, gather requirements, design reports, and provide support while collaborating with stakeholders in healthcare.

Lead design and delivery of data solutions for clients using Adobe Experience Platform. Architect data workflows, mentor junior engineers, and optimize data models.

The Data Engineer will design, implement, and maintain data infrastructure and pipelines, collaborating with cross-functional teams to ensure data integrity and accessibility.

The Data Engineer III designs and builds scalable data pipelines, automates workflows, and collaborates with teams to optimize data processing in a cloud environment.

As a Senior Data Engineer, you will enhance data solutions, manage data models, and collaborate with teams to optimize data architecture and accessibility for insurance business.

Lead data architecture aligned with business needs, mentor teams, ensure data quality and compliance, and collaborate across functions to deliver innovative solutions.

The Support Engineer II will provide technical support to agency and brand partners, managing integrations and troubleshooting issues within programmatic advertising platforms.

Develop and modernize data engineering systems for government partners, optimizing data models and building scalable data pipelines in cloud environments.

The Data Engineer will design and optimize data pipelines, integrate database systems, and automate workflows while collaborating with team members to ensure data accessibility and quality.

The Data Engineer will develop and architect data solutions in Azure, manage data migrations, and consult on database administration while collaborating with various teams.

As a backend engineer, you will manage Liftoff's data infrastructure, improving tools and processes for higher efficiency and performance. Responsibilities include building core engines and collaborating with the product team on strategy.

As a Data Engineer, you will design, build, scale, and maintain data pipelines and systems while collaborating with a cross-functional team.

The Data Engineer will design and optimize ETL/ELT pipelines, integrate data sources, and enhance data processing for NLP models. Collaboration with cross-functional teams is key.

Lead a team of data engineers to oversee client deployments, develop robust data pipelines, and contribute to architecture and strategy, ensuring high-quality data solutions.

Design, construct, and deploy data processing pipelines using machine learning and data mining techniques. Analyze client data, develop algorithms, and extract insights from various data sources.

As a Senior Data Engineer, you will design data transformation pipelines, automate data capture, and ensure data quality, collaborating with R&D and engineering teams.

The Data Engineer designs, builds, and maintains data pipelines for the Department of Veterans Affairs, ensuring data accessibility and quality while collaborating with stakeholders.

As a Senior Data Engineer, you'll design scalable data solutions and build data sets for AI and analytics, contributing to AI-driven products.

The Data Engineer will design, develop, and optimize ETL pipelines using Matillion and Snowflake, ensuring data quality and performance while collaborating with cross-functional teams.

Design and maintain data pipelines and infrastructure, ensuring high-quality data delivery for ML and product teams. Collaborate with cross-functional teams to implement data solutions and automation.

As a Data Engineer, you will develop and maintain data pipelines, optimize data integration processes, and support large healthcare datasets, using various tools including Python and AWS services.

Responsible for maintaining and operating data platforms, developing data pipelines, improving APIs, and ensuring data quality and monitoring.

The Senior Data Platform Engineer will design and build scalable data pipelines, manage cloud-native data platforms, and create APIs using FastAPI for analytics and product features.