Senior Data Engineer
Oracle
3 - 5 years
Nashville
Posted: 08/08/2026
Job Description
Oracle Cloud Infrastructure (OCI) is seeking a Senior Data Engineer to join the Capacity Data Analytics team. This team develops the trusted data foundation, reporting platforms, self-service analytics solutions, and data management infrastructure that enable strategic decision-making across OCI's Compute, Storage, Networking, and Data Center organizations.
In this role, you will partner closely with engineering, business, finance, and operations stakeholders to design and deliver scalable data solutions that transform complex operational data into trusted, actionable insights. You will work on ambiguous, high-impact problems while helping define and maintain the canonical datasets used to measure operational efficiency and inform long-term infrastructure planning.
The ideal candidate is passionate about data engineering, possesses exceptional SQL expertise, enjoys solving challenging analytical problems, and thrives in a highly collaborative environment.
Why Oracle Cloud Infrastructure?
OCI is one of the world's fastest-growing cloud platforms, powering mission-critical workloads for enterprises around the globe. The Capacity Data Analytics team plays a strategic role in enabling OCI's continued growth by delivering trusted data, scalable analytics platforms, and self-service capabilities that support infrastructure planning and operational excellence.
Our team values collaboration, ownership, curiosity, and continuous learning. We embrace challenging problems, move quickly, and continually improve our data platforms to support a rapidly evolving cloud business.
About Company
Oracle Corporation is a global technology company best known for its enterprise software products and cloud solutions. It specializes in database management systems, cloud infrastructure, enterprise resource planning (ERP), customer relationship management (CRM), and supply chain management software. Oracle helps organizations of all sizes manage, store, and analyze data efficiently, offering both on-premise and cloud-based solutions.
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