This position is onsite/hybrid in our Pleasanton, CA office - remote option is not available for this role.

Oracle Analytics is used by customers across the world to discover deep insights about their business, 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.

At the heart of this innovation is the Oracle Fusion Data Intelligence (FDI) platform—our next-generation evolution of Oracle Fusion Analytics Warehouse. Purpose-built for Oracle Fusion Cloud Applications, bringing together business data, ready-to-use analytics, and prebuilt AI and machine learning (ML) models to deliver deeper insights and accelerate the decision-making process into actionable results. The backbone of FDI is the lights-out data pipeline that manages the data warehouse for all the customers. For details about the product visit https://docs.oracle.com/en/cloud/saas/analytics/25r1/index.html

We are seeking a highly skilled and passionate Data Engineer with deep expertise in distributed data processing and a proven track record of building scalable, reliable, and performant data systems. This role will focus on designing and developing large-scale ETL pipelines, real-time streaming applications, and cloud-native data platforms that power business-critical insights. In this role, you’ll build and operate massive-scale, integrated cloud services that power our next-gen analytics platform. You'll work on a "lights-out" data pipeline—the backbone of FDI—that manages the data warehouse for customers across the globe. This is a rare opportunity to work on deeply technical problems in a cloud-native, multi-tenant environment where your work will directly impact thousands of customers and millions of users. If you’re passionate about building scalable, reliable, real-time data systems and want to make an impact, we’d love to talk.

What You’ll Do?

• Architect and implement end-to-end ETL and real-time data pipelines capable of handling petabyte-scale workloads.
• Build and optimize real-time processing frameworks using Spark Streaming, Kafka.
• Write clean, performant, and maintainable code in Scala (Python/Java a plus).
• Collaborate with data scientists, product managers, and platform engineers to enable robust data-driven solutions.
• Define and enforce best practices for CI/CD, testing, observability, and monitoring in data engineering workflows.
• Drive system design and technical strategy for high-scale distributed systems.
• Provide technical mentorship and help grow engineering talent within the team.
• Drive innovation in data engineering best practices, architecture, and tooling within a cloud-native environment.

Qualifications:

• BS or higher degree in Computer Science, Computer Engineering or equivalent with 12+ years of applied experience
• 12+ years of experience in software engineering, with a focus on large-scale data systems and machine learning platforms
• Expert-level proficiency in Apache Spark (batch and streaming).
• Strong command of Scala; additional experience with Python or Java preferred.
• Proven experience building large-scale data pipelines and real-time data processing systems.
• Hands-on experience with cloud-native data solutions (OCI, AWS, GCP, or Azure).
• Proven ability to architect distributed systems and pipelines for real-time and batch processing.
• Experience in technical leadership, mentoring, and driving best practices across engineering teams.
• Excellent problem-solving, communication, and cross-functional collaboration skills.
• Ability to influence architecture decisions and set technical direction across teams.
• Prior experience with Oracle Cloud, or Oracle Analytics is a big plus

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $96,800 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC5

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