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 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.

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

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.

Lead the design and implementation of data processing platforms, optimize data pipelines, mentor data engineering teams, and support cross-functional collaboration.

Lead technical implementation of cloud-based data solutions, mentor junior engineers, and establish technical standards for client engagements.

As a Data Engineer at Sporty, you will design and maintain data pipelines, ensure data quality, and work on data applications and architectures for machine learning initiatives.

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 Data Engineer, you will build data pipelines, architect data models, and deliver reporting practices to support decision making and business analytics.

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.

The Senior Data Engineer at Carrum will develop data solutions, maintain data products, and collaborate with cross-functional teams to enhance analytics and infrastructure in the healthcare domain. The role involves managing data ingestion, processing, and ensuring compliance with regulations while contributing to the company's strategic objectives.

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 Support Data Engineer II, you will help resolve database application issues, manage alerts, and ensure performance in a 24/7 Linux environment.

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

Lead the creation of a business intelligence data stack, implementing data pipelines and analytics solutions, and collaborating with teams to improve decision-making.