Top Big Data Jobs in Los Angeles, CA

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.

As a Lead Product Manager, you'll drive AI-based consumer products from concept to commercialization, managing strategy, execution, and P&L while collaborating with cross-functional teams.

Provides technical consulting and customer implementation services across the application lifecycle, including architecture, development, deployment, testing, optimization, cloud migration, and MongoDB adoption. Delivers technical training, advises customers, collaborates with project and account teams, influences product direction, and communicates complex solutions and product roadmaps. The role requires frequent short customer-site trips of up to 15% of working time.

Build and optimize MongoDB’s SQL interface, including query engines, SQL-to-MQL translation, database connectors, and BI integrations. Develop backend systems that improve performance, scalability, reliability, and usability for large datasets and complex queries. Collaborate with product managers and customer experience teams, contribute to roadmap initiatives, resolve bugs, and lead major technical projects.

Own revenue and publisher accounting processes, including journal entries, accruals, reconciliations, adjustments, invoicing support, and month-end close. Execute SOX controls, support audits, analyze contracts and accounting variances, and prepare financial reporting. Partner with Financial Systems, Product, Engineering, and Operations on Oracle enhancements, system implementations, automation, and process improvements. The role supports complex publisher accounting and revenue recognition in a public technology company.

Manage 2-3 cross-functional software teams to deliver projects using Agile (Scrum/Kanban). Plan timelines, facilitate meetings, remove blockers, improve processes, and coordinate with program leadership on resource planning and portfolio initiatives.

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.

Own the strategy, business case, experimentation roadmap, and launch of Liftoff’s zero-to-one e-commerce advertising platform. Lead product development from beta toward general availability, partnering with engineering, machine learning, legal, finance, sales, and customers. Responsibilities include optimizing funnel performance, defining traffic quality standards, managing identity and attribution architecture, overseeing e-commerce integrations, guiding go-to-market strategy, and making data-driven scaling, pivot, or shutdown decisions.

Owns delivery of backend money movement and card ledger systems, leading engineers through complex problems and ambiguity. Collaborates with product, design, analytics, and engineering stakeholders; defines scalable technical solutions; supports system availability, monitoring, on-call operations, code quality, and engineering standards. The role also includes mentoring and developing team talent while building highly available distributed systems for Affirm’s financial products.

Designs, builds, and maintains scalable ETL/ELT pipelines and finance data models using Snowflake, AWS, dbt Core, Python, and SQL. Develops Medallion architecture data marts, integrates ERP systems, and partners with stakeholders on financial workflows. Implements data governance, RBAC, automated quality testing, observability, documentation, CI/CD, and secure deployments. Monitors Snowflake costs and optimizes queries while supporting Oracle EBS integrations and the migration to Workday.