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Data Engineer – FDI Pipeline Data Model Team

A world leader in cloud solutions, using tomorrow's technology to tackle today's challenges, partnering with industry-leaders for over 40+ years.
Pleasanton, CA, USA
$79,800 - $178,100
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · AI

Job Description

Oracle Analytics is seeking a Data Engineer for their FDI Pipeline Data Model team to join their next-generation Fusion Data Intelligence platform. This role combines data engineering with cutting-edge AI/ML technologies, focusing on building and maintaining scalable data models for analytics.

The position offers an opportunity to work on Oracle's Fusion Data Intelligence platform (FDI), the next generation of Oracle Fusion Analytics Warehouse built for Oracle Fusion Cloud Applications. You'll be part of a team that manages the lights-out data pipeline serving customers worldwide, working with business data, analytics, and prebuilt AI/ML models.

As a Data Engineer, you'll be responsible for building and supporting scalable data models for analytics, working with various data sources including Fusion, NetSuite, and Salesforce. The role offers hands-on experience with business processes, data processing, semantics, and the modern data stack. You'll have the opportunity to work with AI-driven development using large language models and intelligent agents.

The position offers competitive compensation ($79,800 - $178,100) and comprehensive benefits including medical, dental, vision insurance, 401(k) with company match, flexible vacation, and parental leave. Oracle provides a collaborative environment where you can grow professionally while working on innovative solutions that impact businesses worldwide.

This role is perfect for someone who combines strong technical skills with a passion for data engineering and analytics, offering the chance to work with enterprise-scale data systems while staying at the forefront of AI and machine learning technologies.

Last updated 9 days ago

Responsibilities For Data Engineer – FDI Pipeline Data Model Team

  • Learn from senior engineers how to translate business processes/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
  • Troubleshoot and fix routine data or performance problems
  • Create and maintain technical documentation
  • Contribute to automation, language processing, and user interface projects
  • Stay current with new tools, technologies, and approaches in data engineering and AI

Requirements For Data Engineer – FDI Pipeline Data Model Team

Python
Java
  • BS or MS degree in computer science, Engineering, or related field
  • 3+ years of experience developing and delivering data products, pipelines, or software engineering solutions
  • Strong programming skills in Python/PySpark/Scala/Java and SQL
  • Experience with cloud databases, data modeling concepts, ETL processes
  • Knowledge of at least one public cloud platform (Oracle Cloud, AWS, Azure, or Google Cloud)
  • Good understanding of data management and software design fundamentals
  • Strong problem-solving and analytical skills
  • Effective communication skills
  • Interest in data science, machine learning, or AI-driven development tools

Benefits For Data Engineer – FDI Pipeline Data Model Team

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
  • Medical, dental, and vision insurance
  • Short term and long term disability
  • Life insurance and AD&D
  • Health care and dependent care Flexible Spending Accounts
  • Pre-tax commuter and parking benefits
  • 401(k) with company match
  • Flexible Vacation
  • 11 paid holidays
  • 72 hours of paid sick leave
  • Paid parental leave
  • Adoption assistance
  • Employee Stock Purchase Plan
  • Financial planning and group legal

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