Top Remote Data Engineer Jobs in Los Angeles, CA

The Data Steward at OpenX will ensure data accuracy and governance within Salesforce, integrating with various platforms. Responsibilities include improving data models, reporting accuracy, and managing automation for efficient decision-making, while collaborating with various teams for data-driven insights and compliance with data regulations.

As a Data Engineer at Kustomer, you will enhance the data architecture, streamline data ingestion, and provide insights for product decisions. Responsibilities include writing tools for data classification, conducting data analysis, debugging, and ensuring data pipeline integrity, while collaborating closely with stakeholders for data visualization and best practices implementation.

As a Senior Machine Learning Modeler at Block, you will develop scalable machine learning solutions to assess financial crimes risk. You'll collaborate with stakeholders to improve data utilization, maintain production software, and document processes while leading the ML team and staying updated on industry advancements.

The Data Engineering Manager at Dandy will lead a centralized team, build scalable data infrastructure, and drive innovation by creating data processes and facilitating cross-team collaboration. This role focuses on optimizing data pipelines and fostering a data-driven culture within the organization.

The Senior Machine Learning Engineer will lead projects in the Conversational AI team, focusing on developing scalable ML solutions for Square's products, working collaboratively with various teams, and advocating for best engineering practices. Responsibilities include managing ML systems lifecycle, collaborating on product features, and maintaining production-level code.

The Senior Data Engineer will develop scalable data products for consumer-centric analytics and insights, focusing on membership and loyalty programs. Responsibilities include collaborating with data teams, adhering to data privacy policies, and driving the adoption of cloud-first technologies while fostering a culture of continuous learning within the team.

The Big Data DevOps Lead will enhance Big Data infrastructure efficiency, coordinate inter-team initiatives, and lead architecture efforts. Responsibilities include maintaining system reliability, deploying monitoring tools, and implementing disaster recovery practices. On-call support for production systems is also required.