Top Big Data Jobs in Los Angeles, CA

The Log Specialist at Dynatrace leads log management initiatives, collaborates with sales, architects data ingestion solutions, and advocates for enhanced log consumption strategies.

The Senior Data Engineer will design and optimize large-scale batch and streaming data pipelines using Scala and Spark, oversee the data engineering lifecycle, and engage in technical discussions to improve system efficiency.

Lead and evolve Dynamic Pricing and benefit relativity platforms, ensuring compliance and accuracy in pricing through strong actuarial judgment and modern data tools.

As an Associate Actuarial Director / Data Scientist, you'll conduct hospital claim re-pricing studies, develop SAS/Python solutions, and communicate findings. Focus on data extraction and analysis within healthcare environments is essential.

The Account Development Representative interacts with leads to explain solutions and qualify them into sales opportunities, while collaborating with the sales and marketing teams.

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.

Manage full-cycle recruiting for global FinOps, People, and Legal teams, delivering a high-touch candidate experience and developing effective sourcing strategies.

The Strategic Account Director will enhance relationships, engage with C-Suite, deliver tailored solutions, and manage sales pipeline to meet revenue objectives.

The Senior Advertising Sales Manager will manage strategic partnerships with Tier 1 brands, drive revenue growth, and cultivate client relationships within the digital advertising ecosystem.

The Product Designer will create consumer experiences for an AI-native commerce platform, focusing on unique design challenges and iterative prototyping using AI. Responsibilities include designing web app interfaces and integrating AI verification experiences while balancing user needs against stakeholder desires.

Lead the development and implementation of automation techniques using AI and machine learning to improve life underwriting operations and processes.