Top Data Engineer Jobs in San Diego, CA

The Senior Data Engineer will design and implement robust data infrastructure, create data pipelines, and support machine learning models in collaboration with teams.

Design and optimize a blockchain data platform for scalable data management, ensuring data quality and reliability for engineering teams.

Join Speechify's AI team as a Software Engineer responsible for building and managing data infrastructure, collaborating to enhance model training through effective data integration and processing.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

The Staff Engineer, Big Data at Nagarro is responsible for leveraging technical expertise to support teammates and tackle client challenges while enhancing solutions.

Nagarro seeks an Associate Principal Engineer in Big Data to leverage extensive IT experience for strategic organizational value. The role values self-starters and innovation.

The Associate Staff Engineer will focus on big data technologies, assisting teammates and tackling client challenges to develop innovative solutions.

The role requires advanced knowledge in Big Data and the ability to lead teams in technology and solutions, helping clients tackle challenges and achieve success.

As a Senior Data Engineer, you will build data infrastructure, develop CI/CD pipelines, and create entity resolution systems, focusing on large-scale data processing and analytics.

The role involves building and optimizing data processing pipelines, contributing to an experimentation platform, and collaborating across teams to enhance experimentation impact.

As a Staff Software Engineer in Data Systems, you'll build and optimize data pipelines, drive architecture decisions, and collaborate for scalable solutions in a fast-paced e-commerce environment.

The Senior Engineer, Data Integration will design, build, and support HL7 interfaces using the Cloverleaf Interface Engine, focusing on healthcare data integration, system maintenance, and ensuring best practices in interface development.

As a Staff Data Engineer, you'll design data models and pipelines, mentor engineers, and lead initiatives to enhance Scribd's data platform, ensuring quality and scalability.

The Staff Engineer - Finance Data Specialist will develop and support a Finance Data Warehouse, collaborating with Finance and Tech teams on data management and analytical solutions.

As a Senior Data Engineer, you'll design, build, and optimize data infrastructure while collaborating with teams to enhance data flow and integration across platforms.

The Senior Data Engineer will develop and maintain scalable data pipelines, ensure data quality, and modernize ETL processes to support the analytics platform.

The Senior Software Engineer will architect and implement scalable services for ingesting and managing company data, ensuring quality and performance. Responsibilities include code deployment, system integration, and collaborating with product management.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

The Senior Data Engineer will analyze complex data sets, collaborate with teams, design BI dashboards, and ensure data quality.

Lead the development of Big Data solutions and machine learning systems, mentor engineers, and maintain high standards of engineering excellence.

Seeking Data Platform Engineers to design, build, and manage scalable data pipelines and analytic query engines while ensuring data integrity and performance optimization.

As a Big Data Solutions Engineer, you'll design and implement scalable Big Data solutions on cloud platforms, managing workflows and integrating with various teams to optimize data processing.

The Senior Data Engineer will develop scalable data pipelines, maintain production datasets, collaborate with teams, and optimize data platform infrastructure.

Lead the evolution of decentralized data infrastructure, design and maintain ETL/ELT pipelines, and collaborate across teams to derive insights from data.

The role involves building and optimizing data pipelines, managing data integration, supporting analytics, and collaborating with cross-functional teams to enable data-driven decisions.