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.

Supports healthcare mergers, acquisitions, partnerships, and strategic investments through financial modeling, valuation, due diligence, transaction execution, opportunity research, and executive presentations. The Analyst develops DCF and comparable-company analyses, evaluates synergies and operational impacts, coordinates with internal teams and external advisors, prepares investment memoranda, and improves deal-management processes.

Leads and manages an 8–10-person storage engineering team responsible for MongoDB’s transactional read/write path, durability, availability, performance, indexing, and storage architecture. Owns the roadmap, customer escalations, cross-team initiatives, engineering quality, hiring, coaching, and execution. Partners with Replication, Query, Sharding, Atlas, and other teams on distributed systems and workload-management improvements.

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.

Lead Affirm’s enterprise AI security review program, threat model LLM and agentic systems, review code and configurations, and develop security guardrails, tooling, policies, and monitoring. Evaluate AI-enabled SaaS vendors, identify emerging vulnerabilities, support incident response, and lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance. The role requires expertise in AI security architecture, threat modeling, IAM, cloud infrastructure, policy-as-code, and regulated enterprise environments.

Provides timely customer support, retrieves and processes inbound requests, directs clients to appropriate departments, documents interactions in Ambry systems, attaches documents to cases, maintains follow-up lists, and answers questions about products and processes. The role also involves interdepartmental coordination and preliminary billing or insurance support. It is an entry-level position requiring some supervision.

Lead complex security investigations across endpoint, identity, cloud, email, SaaS, and network environments. Own incidents through containment, remediation coordination, documentation, and post-incident review. Tune detections, queries, dashboards, workflows, and SOAR playbooks; improve SOC metrics, threat coverage, alert fidelity, and response processes. Partner on vulnerability and cloud-risk remediation, participate in global on-call rotation, use approved AI capabilities responsibly, and mentor analysts.