Data Model Engineer

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This role is onsite in Pleasanton, CA. Remote work is not an option.

Oracle Analytics is used by customers worldwide to discover deep insights, 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.

Oracle Fusion Data Intelligence (FDI) is the next‑generation platform built for Oracle Fusion Cloud Applications, bringing together business data, pre‑built analytics, and AI/ML models to deliver deeper insights and accelerate decision‑making.

The backbone of FDI is the lights‑out data pipeline that manages the data warehouse for all customers. For details about the product, visit

As a member of the FDI Pipeline Data Model team, you will build and support scalable data models for analytics, learn about business processes, data processing, semantics, the modern data stack, and AI‑driven development using large language models and intelligent agents. You will also collaborate on building language processors, user interfaces, and automation solutions that showcase your creative thinking within an agile, innovative environment.

• Learn from senior engineers how to translate business processes and analytics requirements into effective data model designs.
• Build, test, and maintain scalable data models and pipelines.
• Work with QA to validate data accuracy and resolve issues as they arise.
• Troubleshoot and fix routine data or performance problems with support from experienced teammates.
• Create and maintain technical documentation for team reference, knowledge sharing, and internal or customer use.
• Contribute to automation, language processing, and user interface projects within the Pipeline team.
• Stay curious and keep learning about new tools, technologies, and approaches in data engineering and AI.

• BS or MS degree in computer science, engineering, or a related field, or equivalent practical experience.
• 3+ years of experience developing and delivering data products, data pipelines, or software/data engineering solutions.
• Strong programming skills in Python, PySpark, Scala, Java, and SQL.
• Solid experience with cloud databases, data modeling concepts, ETL processes, and at least one public cloud platform (Oracle Cloud, AWS, Azure, or Google Cloud), especially for data services.
• Good understanding of data management and software design fundamentals.
• Proven problem‑solving and analytical skills with attention to detail.
• Ability to effectively communicate technical concepts verbally and through design and documentation.
• Interest or exposure to data science, machine learning, or AI‑driven development tools is a plus.
• Willingness and enthusiasm to learn about business processes, data processing, semantics, and the modern data stack.
• Positive attitude, curiosity, and eagerness to contribute new ideas while thriving in an inclusive, innovative, and collaborative team culture.

US hiring range: $79,200 – $178,100 per year. May be eligible for bonus and equity. Oracle offers a comprehensive benefits package including medical, dental, vision, disability, life insurance, supplemental life, Flexible Spending Accounts, pre‑tax commuter and parking benefits, 401(k) with company match, paid time off, paid sick leave, paid parental leave, adoption assistance, employee stock purchase plan, financial planning and group legal, and voluntary benefits.

Career level:

IC3. This role generally accepts applications for at least three calendar days from posting date or longer as available.

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry leaders in almost every sector and continue to thrive after 40+ years of change by operating with integrity.

We are committed to an inclusive workforce that promotes opportunities for all. 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, protected veterans’ status, or any other characteristic protected by law. Oracle will consider qualified applicants with arrest and conviction records pursuant to applicable law.

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