Top Remote Data Engineer Jobs in Los Angeles, CA
As a Staff Machine Learning Engineer in the Conversational AI team, you will lead projects to develop scalable machine learning solutions for Square's products. Your responsibilities include driving end-to-end machine learning projects, collaborating with business leaders, and advocating for best engineering practices while mentoring team members.
The Senior Machine Learning Modeler will build machine learning solutions to assess financial crime risks at scale, work with cross-functional teams to leverage data for regulatory compliance, document processes for scrutiny, and lead initiatives to enhance team effectiveness and continuous learning.
As a Cloud Data & Analytics Manager, you'll assist clients in developing and implementing cloud data strategies aligned with their business goals. Responsibilities include analyzing complex data needs, leveraging modern cloud platforms for data architecture, coaching team members, and informing decision-making with data-driven insights.
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As a Senior Data Engineer at Babylist, you will enhance data platforms, build and scale ML pipelines, and collaborate across departments to deliver data solutions supporting product growth. You will leverage expertise in data engineering, architecture, and DevOps, focusing on robust, scalable systems.
The Senior Director of Data at SimplePractice will lead the data organization, focusing on analytics support, data infrastructure initiatives, and AI governance. Responsibilities include managing a team of data professionals, collaborating with other departments, and aligning data strategies with business goals.
Lead the advancement of a modern data lakehouse and support the democratization of data assets. Responsibilities include influencing solutions, developing data models, managing project life cycle activities, and mentoring team members. Qualifications include experience with Databricks and a commitment to operational standards and quality.
The role involves improving the quality and cost of colocation sites, managing vendor relationships, negotiating contracts, and collaborating cross-functionally to support infrastructure growth. The candidate will also oversee budget tracking and colocation spend to enhance organizational efficiency.
The Marketing Data Engineer will design and develop scalable ETL/ELT pipelines, maintain reliable data pipelines, optimize cloud-based data warehouses, and ensure high standards of data quality and integration while collaborating with various teams to support analytics and machine learning initiatives.
The Senior Data Engineer will work with the Data Engineering team to develop high-impact data solutions, collaborating with Finance and Accounting to integrate data systems, handle ETL processes, and ensure accurate data transformation and integrity across projects.
As a Principal Data Science Engineer, you will build tools for data analysis, oversee data cleaning and feature engineering, and collaborate with teams to implement data models for clients. You will present findings to stakeholders, drive machine learning development, mentor junior scientists, and serve as project lead while using tools like Jira for task management.
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