Top Big Data Jobs in Los Angeles, CA

Own end-to-end paid social execution across Meta and TikTok for subscription products. Manage bidding, budgets, audiences, creative testing, AI-enabled workflows, attribution, tracking, and campaign scaling. Optimize for subscriber acquisition efficiency, long-term LTV, churn, payback period, and cohort health. Monitor ROAS, CPA, CTR, CAC, and conversion rates while ensuring technical integrity across Shopify, GA4, subscription platforms, and attribution tools.

Manage US employee benefits programs, including health, retirement, insurance, FSA, COBRA, leave, wellness, and regulatory compliance. Oversee enrollments, invoices, budgets, carrier and broker negotiations, ACA filings, nondiscrimination testing, and Workday configurations. Analyze benefits data, support payroll and finance inquiries, manage vendors, communicate programs, and contribute to benefits integration, reporting, and change-management projects.

Conduct healthcare economics research and quantitative analysis using clinical, financial, claims, and operational data. Develop SQL and Python queries, statistical models, performance metrics, dashboards, visualizations, and financial reports. Apply data governance and quality practices, identify medical cost and utilization trends, and provide actionable recommendations to business and leadership stakeholders. Lead analytical projects, collaborate with partners, perform ad hoc analyses, and present findings in leadership-ready formats.

Own the vision, strategy, and roadmap for MongoDB’s Partner Platform, including its Partner API, self-service onboarding, enterprise controls, billing, discovery, and partner-managed experiences. Translate partner and customer needs into scalable product capabilities, establish operating models and metrics, and collaborate across engineering, security, IAM, billing, design, marketing, and partnerships. Lead platform adoption for human and AI-agent developers while representing MongoDB externally and driving ecosystem growth.

Administer and enhance Edmunds’ Databricks data platform and AWS infrastructure. Build and maintain ETL pipelines, infrastructure-as-code tooling using Terraform or CDK, and operational dashboards, alerts, and reports. Collaborate with business, engineering, analytics, security, and infrastructure teams to support data platform users and AI solutions. Evaluate new technologies, troubleshoot platform issues, and improve operational, cost, and security visibility.

As a Senior Security Engineer, you'll lead AWS cloud security, manage security operations, and implement Zero Trust principles while using AI-powered tools for automation and incident response.

Design, build, and deploy production-scale ML models and ranking systems for personalization and advertising. Take end-to-end ownership of models and services, implement evaluation harnesses and automated tests, and maintain data pipelines using Hadoop/Spark/Kafka. Collaborate across teams and present technical findings, while ensuring scalable, reliable system architecture and rapid iteration using AI-assisted coding tools.

Owns accounting support for the deal desk and quote-to-cash process at a SaaS company. Responsibilities include reviewing contracts for ASC 606 implications, advising Sales and Legal on deal structures, establishing approval workflows, translating contract terms into billing configurations, managing amendments and renewals, and partnering with Sales Operations, Finance, and Accounting. The role also supports commercial governance, SaaS metrics analysis, audit, and cross-functional training.

Own end-to-end product design for agent, wholesaler, and back-office insurance workflows. Conduct research, define problems, create user flows and Figma designs, build coded prototypes, validate solutions, and partner with engineering through implementation. Design integration experiences involving permissions, data imports, APIs, quoting, and status workflows. Contribute to design critiques and systems while balancing usability, trust, accuracy, compliance, technical constraints, and stakeholder needs in a regulated product environment.

Design and deploy production AI assistants, copilots, agents, RAG systems, and workflow automation using enterprise data. Build AI backend services, APIs, microservices, and AWS serverless workflows; integrate enterprise platforms; implement observability, responsible AI, human-in-the-loop controls, and traceability. Partner with Data, IT, and business teams to improve operational processes and decision-making while managing production incidents, model rollbacks, performance, accuracy, and cost.

Owns executive relationships and revenue growth for 2–4 high-value enterprise accounts. Develops multi-year account plans, expands product adoption, identifies cross-sell and upsell opportunities, leads renewals and contract negotiations, and coordinates Product, Marketing, Client Success, and Solutions teams. The role also conducts strategic business reviews, represents the company with senior stakeholders, and drives profitable long-term partnerships across Roadside Assistance and Accident Management offerings.