Oracle · 15 hours ago
Principal Data Engineer - Oracle Health
United States
Full-time
Remote
Lead/Staff
8+ years expOracle is transforming healthcare with its Oracle Health Advance analytics platform, and they are seeking a Principal Data Engineer to join their R&D team. In this role, you will develop analytics for their next-generation electronic health record insights platform, architect scalable data pipelines, and collaborate with cross-functional teams to drive actionable insights for healthcare providers.
Data GovernanceData ManagementEnterprise SoftwareInformation TechnologySaaSSoftware
Responsibilities
Architect, design, and implement robust, scalable data pipelines and cloud-based solutions for aggregation, normalization, and analysis of data from diverse, distributed clinical and operational sources
Help mentor a talented team of data architects
Deliver key components of a modern, AI-powered data platform within Oracle Health Advance
Develop and maintain data infrastructure, APIs, and services for reliable, secure, and high-performance analytics in a cloud-native environment (preferably OCI or another major cloud provider)
Collaborate cross-functionally with data scientists, product managers, and health domain experts to enable advanced visualizations, benchmarks, and actionable insights
Own architectural decisions, technology selections, and process improvements, ensuring the platform is extensible, maintainable, and secure
Leverage your expertise in modern programming languages (Python or similar), distributed data processing (like Spark), SQL databases, and cloud computing
Integrate LLMs across our data processing stack and customer-facing UI
Ensure reliable data operations by embracing DevOps, automation, CI/CD, and infrastructure as code best practices
Communicate architectural decisions, technical findings, and progress to both technical and non-technical stakeholders
Qualification
Required
Architect, design, and implement robust, scalable data pipelines and cloud-based solutions for aggregation, normalization, and analysis of data from diverse, distributed clinical and operational sources
Help mentor a talented team of data architects
Deliver key components of a modern, AI-powered data platform within Oracle Health Advance
Develop and maintain data infrastructure, APIs, and services for reliable, secure, and high-performance analytics in a cloud-native environment (preferably OCI or another major cloud provider)
Collaborate cross-functionally with data scientists, product managers, and health domain experts to enable advanced visualizations, benchmarks, and actionable insights
Own architectural decisions, technology selections, and process improvements, ensuring the platform is extensible, maintainable, and secure
Leverage your expertise in modern programming languages (Python or similar), distributed data processing (like Spark), SQL databases, and cloud computing
Integrate LLMs across our data processing stack and customer-facing UI
Ensure reliable data operations by embracing DevOps, automation, CI/CD, and infrastructure as code best practices
Communicate architectural decisions, technical findings, and progress to both technical and non-technical stakeholders
Preferred
8+ years of engineering experience building and maintaining scalable data platforms, distributed systems, or enterprise analytics solutions in the cloud
BS or MS in Computer Science or equivalent experience
Deep expertise in object-oriented programming (Python or similar) and data structures
Experience developing within modern data frameworks for distributed data processing (like Spark, Hadoop, Hive, etc)
Strong skills in advanced SQL on large-scale columnar databases (like HP Vertica or Oracle ADW)
Experience with data orchestration tools like Apache Airflow, OCI Data Flows, and OCI Data Integration
Proven track record designing and optimizing data architectures for high performance, security, and reliability at scale
Experience leading technical projects and mentoring engineers in a collaborative, agile environment
Familiarity with AI/ML model integration and modern API design (RESTful, GraphQL, etc.)
Understanding of DevOps technologies (Jenkins, Kubernetes, Terraform, etc.) for deploying solutions on cloud infrastructure (OCI or equivalents like AWS, Azure, GCP)
Strong communication and collaboration skills, with a demonstrated ability to summarize technically complex concepts to non-technical stakeholders at all levels of the enterprise
Company
Oracle
Oracle is an integrated cloud application and platform services that sells a range of enterprise information technology solutions.
10001+ employees
H1B Sponsorship
Oracle has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1271)
2024 (846)
2023 (995)
2022 (1192)
2021 (985)
2020 (755)
Funding
Current Stage
Public CompanyTotal Funding
$25.75BKey Investors
HSBC,JPMorgan Chase & Co.Sequoia Capital
2025-09-24Post Ipo Debt· $18B
2025-02-03Post Ipo Debt· $7.75B
1986-03-12IPO
Leadership Team
Esteban Rubens
Healthcare Field CTO
G
Gerard Warrens
Field CTO, Business Strategy and Transformative Technologies
Recent News
The Motley Fool
2026-02-05
2026-02-05
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