Top Big Data Jobs in Los Angeles, CA

The M&A Analyst supports business growth by evaluating and executing mergers and acquisitions in healthcare, analyzing financial impacts, and preparing presentations for leadership.

Build and optimize client-side applications and front-end features using modern JavaScript. Improve pricing and dealer integrations, ensure cross-browser compatibility and performance, coordinate technical design through deployment, and collaborate with product, design, and engineering teams.

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

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 and implement scalable microservices and customer/internal APIs. Lead technical specification, development, integration, testing, and release. Optimize performance, refactor code, collaborate with stakeholders, mentor engineers, and ensure reliable, maintainable solutions across the platform.

Lead tax department activities including quarterly and year-end provision calculations, corporate, partnership, and multi-state tax returns, ASC 740 compliance, tax audits, tax planning, cross-functional collaboration, supervising tax staff, and maintaining filing calendars and sales/VAT compliance.

Manage and improve vulnerability management, asset visibility, and cloud security across hybrid and multi-cloud environments. Operate tools (Wiz, Rapid7), maintain asset inventories, triage and track vulnerabilities, coordinate remediation with Engineering/SRE/IT, support incident investigations and on-call rotation, maintain compliance evidence and runbooks, and contribute to program improvements and reporting.

Lead and grow a regional Sales Engineering team for SLED, provide technical leadership and solution architecture for Rubrik's hybrid cloud data management platform, enable sales, present to technical and executive stakeholders, recruit and hire SEs, and drive revenue and technical programs.

Lead product data analytics: analyze large datasets, build models and dashboards, design and evaluate A/B tests, advise product decisions, automate analytics with AI-enabled tools, and collaborate with global R&D and product teams to deliver actionable insights.

Design, build, and own production AI agents and automations for marketing. Integrate and instrument the marketing stack (Salesforce, HubSpot, Qualified, Clay, ZoomInfo, data warehouse), implement predictive scoring and personalization, monitor systems for reliability, and collaborate with marketing, RevOps, and sales to translate problems into deployable software.