Principal Data Engineer

Location: Nashville, TN, United States

Oracle Cloud Infrastructure (OCI) is seeking an AI native, self-starter and detail-oriented Data Engineer to join our dynamic and fast-paced data analytics team. As a Data Engineer at Oracle OCI, you will play a crucial role in providing data-driven decision support and analysis for OCI’s largest products and programs. This is a position that offers an exciting opportunity to take ownership of large portions of the data ecosystem that OCI runs on. 

About Us

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 accommodation-request_mb@oracle.com 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.

Provides expertise on the design and participates in building of data infrastructure to optimize data processing from a variety of data sources.