Top Data Engineer Jobs in Los Angeles, CA
As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.
As a Senior Data Engineer on the Finance team, you will manage financial data pipelines, ensuring accurate reporting and collaborating with cross-functional teams. You will design scalable solutions and have autonomy in driving key initiatives that impact the company's financial data vision.
The Sr. Data Engineer-GCP designs, develops, and integrates data applications on Google Cloud Platform. Responsibilities include building data processing systems, automating data pipelines, leading unit testing, adhering to quality standards, and implementing process improvements. The role leverages machine learning and collaborates with internal and external resources to support reporting and analytics needs.
As a Senior Data Engineer at Dandy, you will design and maintain data infrastructure, own end-to-end data pipelines, and collaborate with stakeholders to ensure reliable data solutions. You'll mentor junior engineers and continuously improve systems to enhance data-driven decision-making across the organization.
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
The Data Analyst/Engineer at PragerU will develop and maintain performance dashboards, optimize data systems for marketing campaigns, analyze data for improvements, and create reporting for analytics. This role requires collaboration with teams to enhance data-driven marketing initiatives and automate processes for efficiency.
The Oracle Apps DBA is responsible for the installation, configuration, administration, and monitoring of Oracle EBS systems. This role involves troubleshooting performance issues, implementing backup and disaster recovery procedures, and ensuring compliance with licensing requirements. The DBA will also provide technical support and guidance to team members and collaborate with vendors for system issue resolution.
The Cloud Data Engineer will develop and engineer solutions primarily using Python and Spark within AWS Glue, along with managing OpenSearch and DynamoDB. The role also involves programming with Neptune Graph Database, developing REST APIs, and constructing AWS infrastructure elements like IAM roles and policies.
The Sr. Director of Data Analytics will lead a team to develop data-driven analytic solutions that drive business growth, focusing on areas such as product planning, customer insights, and operations. The role involves consulting with stakeholders, creating dashboards, and improving analytics practices within the organization.
As a Sales Representative at CoStar Data & Analytics, you will prospect and engage potential clients, manage and grow the existing client base, and represent CoStar at industry events. Responsibilities include understanding client needs, conducting product demonstrations, and providing insights to commercial property market participants.
The Head of Consumer Data & Analytics at Mattel will lead the data and analytics efforts across the Direct to Consumer and e-commerce organization. Responsibilities include creating a data-driven strategy, building a unified commerce data approach, managing a team of data experts, and partnering with global teams to ensure data integrity and governance while driving digital transformation and growth strategies.
Top Companies in Los Angeles, CA Hiring Data + Analytics Roles
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