Top Big Data Jobs in Los Angeles, CA

Manages technical escalations for Magnite’s DV+ programmatic advertising platform. Queries large datasets with SQL, troubleshoots issues across systems, APIs, reporting pipelines, and integrations, and applies AI tools to automate workflows and improve efficiency. The role coordinates with Product, Engineering, Account Management, Technical Operations, and external partners while documenting solutions, diagnosing root causes, and driving ambiguous issues to resolution.

Manage post-sale relationships with Tier 1 brand and agency clients, launching, monitoring, optimizing, and reporting on programmatic and native advertising campaigns. Analyze accounts to improve performance, identify upsell opportunities, conduct quarterly business reviews, collaborate cross-functionally, and travel monthly to visit clients.

Serve as the strategic compensation partner for Sales, advising senior leaders on offers, equity, leveling, promotions, retention, benchmarking, and compensation cycles. Analyze market and internal data, support incentive-plan governance and modeling, lead competitive intelligence, improve compensation programs, manage strategic projects, and develop manager enablement materials. Partner closely with Finance, Sales Operations, Recruiting, Legal, and HR while presenting recommendations to executive stakeholders.

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.

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.

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.

Serves as the primary field representative for OnStar, connected services, loyalty programs, and subscription offerings across assigned dealerships. Builds dealer relationships, coaches sales and service teams, delivers training, analyzes performance data, develops action plans, supports product launches, troubleshoots technology platforms, and improves customer onboarding and loyalty. Requires up to 90% travel within the assigned territory and frequent dealership visits.

Own relationships, health, retention, and growth for enterprise carrier customers. Responsibilities include executive business reviews, performance reporting, escalation management, roadmap alignment, expansion opportunities, compliance documentation, audit responses, and cross-functional coordination with Product, Engineering, Implementation, Compliance, and Sales. The role also mentors Customer Success Associates and requires travel for solution workshops, leadership events, and customer reviews.

Design and maintain analytical data models, transformation frameworks, data-quality checks, semantic definitions, and metric consistency across analytics and customer-facing products. Partner with engineering, product, and analytics teams to document data, improve lineage, and enable trustworthy self-service data usage. The role requires advanced SQL, analytics engineering, dimensional modeling, testing, and collaborative translation of business concepts into precise data definitions.