Top Big Data Jobs in Los Angeles, CA

The Staff/Sr. Staff Software Engineer will build the GTM AI Brain from scratch, overseeing technical architecture and integrating various systems to enhance revenue operations.

Design, develop, and support large-scale big data platforms and ETL pipelines using Java, Spark, Hadoop, Kafka and related tooling. Build end-to-end data services, troubleshoot production issues, perform data quality and performance tuning, and collaborate across teams to deliver data for reporting and analytics.

The role involves developing and executing sales strategies, managing customer relationships, and generating new business opportunities within Global 2000 accounts.

Sell Taboola's full-funnel advertising solutions to large brand and agency buyers in the Health vertical. Build and scale pipeline, close net-new enterprise accounts, manage client relationships, evangelize ad strategies, collaborate with internal teams, and meet quarterly revenue targets while traveling monthly to visit clients.

The Field CTO serves as a strategic technical advisor, connecting business priorities with technical strategies, engaging executives to drive innovation and measurable outcomes.

Provide daily operational support to sales producers by minimizing administrative work, analyzing and reporting sales data, managing sales meeting logistics, troubleshooting order processing and producer requests, supporting onboarding and training, and completing special projects. Acts as a resource for the team and works independently on moderately complex tasks. Hybrid role based in Cypress, CA, with requirement to obtain a state life/health insurance license.

Host and scriptwrite automotive video content for Edmunds and CarMax across YouTube and social channels. On-screen talent duties include driving and evaluating test vehicles, researching and writing scripts, fact-checking, collaborating with video/social/test teams, generating social assets, managing assignments in Monday.com, attending events, and producing companion written content. Requires regular driving and occasional travel, commuting to Santa Monica.

The Principal Data Scientist will lead data analysis projects, collaborate with product management, assess business impacts, ensure data governance, and mentor junior analysts. Must leverage statistical techniques and machine learning to drive product strategy and business outcomes.

The Software Engineer will develop tools for data migration from relational databases to MongoDB, collaborating with teams to implement high-quality backend code.

Provide executive technical leadership to shape technical strategy and architecture across multiple businesses; act as final decision-maker on cross‑org architecture, partner with CTO, align engineering execution with business priorities, remove ambiguity, and raise technical decision quality.