Top Big Data Jobs in Los Angeles, CA

Design and build microservice-based APIs for reporting and analytics. Manage projects and collaborate with teams to enhance API developer experience, ensuring code quality and production reliability.

The Log Specialist at Dynatrace leads log management initiatives, collaborates with sales, architects data ingestion solutions, and advocates for enhanced log consumption strategies.

As a Software Engineer at Edmunds, you will create tools to improve the online car buying experience by collaborating with cross-functional teams and implementing modern technologies.

The Director of Brand & Content will architect the brand's identity and voice at Product.ai, overseeing brand strategies, content direction, and recruiting narratives, while collaborating directly with the CEO to establish a cohesive branding framework.

Responsible for legal support across various aspects of the business, including privacy compliance, contract negotiation, and strategic guidance while collaborating with cross-functional teams.

Lead and grow strategic Global Systems Integrator (GSI) partnerships, driving co-sell pipeline, revenue, executive engagement, QBRs, embedded solution commercialization, partner enablement, and go-to-market alignment. Serve as primary business development driver between Rubrik field sales and GSIs, accelerating adoption and joint opportunities across OEM/ISV ecosystems.

Provide executive technical leadership to shape technical strategy and architecture across multiple businesses; act as final decision-maker on cross‑org architecture, partner with CTO, align engineering execution with business priorities, remove ambiguity, and raise technical decision quality.

Design, build, and operate multi-tenant elastic storage control-plane services. Ensure high availability and performance, run observability and on-call practices, lead complex projects, collaborate cross-functionally, mentor junior engineers, and contribute to scaling services handling petabytes of data.

Lead encounter data operations: monitor submissions, correct rejected encounters per CMS/DHCS, write SQL queries and ad hoc scripts, generate reconciliation reports, analyze trends and root causes, validate EDI 837 resubmissions, manage relationships with health plans and clearinghouses, update documentation and training, and lead special projects to improve finance-related encounter workflows.

The role involves meeting customers to understand integration requirements, building tailored solutions, conducting tests, and feedback to engineering. The focus is on integrating diverse systems using Python, SQL, and APIs.