Top Data Engineer Jobs in Los Angeles, CA

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

The role involves designing scalable data platforms, collaborating with hardware engineers, defining standards, and ensuring effective data processing and analytics.

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.

Develop and implement analytics infrastructure and data pipelines, create dashboards, integrate systems, maintain cloud infrastructure, and coordinate projects.

The role involves designing and building platforms for new products, developing AI features, ensuring system reliability, and fostering an inclusive culture. Requires full-stack experience and a commitment to improving healthcare.

As a Staff Data Engineer, you will design and optimize data systems, collaborate with cross-functional teams, and provide technical leadership while ensuring data quality and performance at scale.

As a Lead Data Engineer, you'll architect and maintain data pipelines, ensuring their reliability and scalability, while collaborating closely with AI and data teams.

As a Senior Data Engineer, you will build a centralized data lake on GCP, develop and optimize SPARK-powered data pipelines, and ensure data quality through validation checks. Collaborate with various teams to extract insights and maintain data models for analytics, while managing ETL/ELT processes and troubleshooting data issues.

The Staff Data Engineer will optimize data workloads, develop new data processing routes, and create ML solutions in the cybersecurity domain.

The Senior Data Analytics Engineer is responsible for designing, implementing, and maintaining ETL processes, ensuring data quality, and providing insights to support business growth.

Lead and collaborate on engineering design and development, write maintainable code, and partner with clients to extract requirements and manage projects.

As a Data Engineer, you will improve government data architectures and pipelines, optimize data processing, and collaborate with teams to enhance user experience.