Top Big Data Jobs in Los Angeles, CA

The role involves analyzing large datasets to generate insights, measuring business performance, and optimizing processes by collaborating with product owners and internal partners.

The Talent Acquisition Specialist will lead the recruitment lifecycle for critical roles, manage HR administration, and enhance employee experience.

The Associate Principal Product Manager will enhance the Process Intelligence Graph by developing new features, data models, and APIs through customer insights and collaboration with engineering teams, while driving long-term strategy.

As a Partner Optimization Analyst, you will optimize partner pricing, oversee affiliate platform operations, manage performance reporting, and ensure accurate payout and margin management to drive profitability across the affiliate network.

The Advertiser Channel Partnerships Manager role focuses on strategic partner growth, managing client relationships, and achieving advertising KPIs for brand advertisers through data analysis and collaboration with internal teams.

The Senior Sales Engineer role involves technical sales for enterprise storage solutions, addressing customer requirements, delivering presentations, and managing client relationships.

The Senior Engineer will participate in API design, manage project deliverables, write production-ready code, and collaborate with teams to deliver high-quality software in the ad tech industry.

The Senior Software Engineer on Deployments will design and maintain continuous delivery infrastructure, optimize deployment processes, and collaborate with teams to enhance software delivery in a multi-cloud environment.

The role involves building user-facing features for data processing in MongoDB, improving the query engine, and collaborating on product integration. Responsibilities include delivering production-ready code, mentoring team members, and contributing to roadmaps.

The Sr. Product Manager will shape, scale, and manage the Experience Platform, translating business needs into product requirements and collaborating with cross-functional teams to deliver impactful AI-enabled features.

Develop and support web services for digital life insurance enrollment, collaborating closely across teams to enhance platform capabilities. Responsible for the quality and maintainability of services, utilizing Python and Java, among other technologies.