Top Data Engineer Jobs in Los Angeles, CA

As a Senior Data Engineer, you will lead data engineering projects, collaborate with teams, mentor engineers, and enhance the data infrastructure with new technologies.

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.

The Senior DataOps Engineer will design, implement, and optimize cloud data operations pipelines, ensure seamless analytics service integration, and mentor junior engineers.

As a Principal Data Engineer, you'll lead the design and optimization of scalable data infrastructure, developer high-performance ETL pipelines, and ensure data governance while mentoring teams.

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

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.

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.

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

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

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

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.

The Senior Data Engineer will design and implement data solutions for marketing analytics, manage data models, and collaborate with various teams to enhance data accessibility and insights.

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

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