Software Engineer 3 – Senior Member Technical Staff

Oracle•Pleasanton, CA

1d•Hybrid

About The Position

This position is onsite/hybrid in our Pleasanton, CA office - remote option is not available for this role. Oracle Analytics is used by customers across the world to discover deep insights about their business, improve collaboration around a single view by securely including all relevant data, and increase agility by quickly spotting patterns and powering data-driven decisions with AI and machine learning. At the heart of this innovation is the Oracle Fusion Data Intelligence (FDI) platform—our next-generation evolution of Oracle Fusion Analytics Warehouse. Purpose-built for Oracle Fusion Cloud Applications, bringing together business data, ready-to-use analytics, and prebuilt AI and machine learning (ML) models to deliver deeper insights and accelerate the decision-making process into actionable results. The backbone of FDI is the lights-out data pipeline that manages the data warehouse for all the customers. For details about the product visit https://docs.oracle.com/en/cloud/saas/analytics/25r1/index.html We are looking for a passionate and skilled Data Engineer to join the FDI team. In this role, you’ll build and operate massive-scale, integrated cloud services that power our next-gen analytics platform. You'll work on a "lights-out" data pipeline—the backbone of FDI—that manages the data warehouse for customers across the globe. This is a rare opportunity to work on deeply technical problems in a cloud-native, multi-tenant environment where your work will directly impact thousands of customers and millions of users. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing [email protected] or by calling 1-888-404-2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Responsibilities

Design, develop, and maintain scalable, resilient, and highly available data systems.
Build large-scale distributed data pipelines that power automated data ingestion, transformation, and warehousing.
Collaborate with cross-functional teams including product managers, architects, and QA to deliver high-impact features.
Drive innovation in data engineering best practices, architecture, and tooling within a cloud-native environment.
Ensure system security, performance, and reliability in a multi-tenant SaaS setup.