Top Remote Data Engineer Jobs in Los Angeles, CA
As a Data Engineer at Arcadia, you will be responsible for developing solution architecture and data pipeline connectors between client data management platforms and Arcadia's analytic solutions. Your role involves designing connectors, unit testing, participating in scrum methodologies, and ensuring project timelines are met. You'll work collaboratively to enhance and support integrations for healthcare clients.
The Marketing Technology Data Engineer will design and build data solutions for managing and integrating real-time and batch data, focusing on data quality and availability for enterprise clients. The role involves developing data pipelines, implementing CI/CD processes, and collaborating with teams to meet client needs while leveraging Google Cloud services.
Lead data engineer role at Wipfli focusing on the continuous advancement of a modern data lakehouse. Responsible for translating requirements into effective data models, developing in data technologies, managing project life cycle activities, achieving/maintaining proficiency in required skills, and collaborating with team members.
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The Senior Data Engineer will design, develop, and manage scalable data architectures and pipelines, primarily using cloud platforms like Azure. Responsibilities include data integration, modeling, optimization, and mentoring. The role emphasizes collaboration with cross-functional teams to ensure data infrastructure supports analytics and drives decision-making.
The Senior Data Engineer will design and implement ETL processes in a cloud environment, develop monitoring solutions, document datasets, and collaborate with the Data Science team. This role requires building ETL processes and a strong understanding of data modeling.
Seeking a Senior Director of Business Analytics at Skillsoft to drive strategic decisions through data analysis and provide actionable insights to senior leadership. Responsibilities include developing analytics best practices, leading a team of analysts, and providing financial planning support. Qualifications include 10+ years of experience in business analytics and strong leadership and analytical skills.
As a Principal Data Engineer, you will drive the direction of the Data Warehouse, design and optimize ingestion pipelines, and mentor team members. You will ensure data accuracy, monitor pipelines, comply with regulatory requirements, and collaborate with internal teams for comprehensive data integration.
As a Senior Analytics Engineer at Spring Health, you will develop and maintain data models using dbt, collaborate with finance and data analysts to define business metrics, ensure data quality and consistency, and create documentation to enhance data access for teams.
The Senior Machine Learning & Computer Vision Engineer will lead efforts in building computer vision models for 3D dental scans, develop ML models for generative AI tasks, and collaborate with teams to enhance product offerings using massive datasets. The role emphasizes establishing best practices in MLOps and delivering rapid value to customers.
The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure, focusing on optimizing data for AI/ML models. Responsibilities include leading the creation of data warehouses, ensuring data quality, and collaborating with cross-functional teams to meet data requirements for machine learning applications.
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