Senior Data Engineer (Oracle FDI / Data Warehouse)

Senior Data Engineer (Oracle FDI / Data Warehouse)

US

Security & IT – IT /

Part-time /

Remote

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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer (Oracle FDI / Data Warehouse) in the United States.

This role offers a unique opportunity to design and build a finance-focused data warehouse from the ground up. You will work with a high-performing team to develop scalable data pipelines, reporting objects, and production-ready flows within Oracle’s ecosystem. The position emphasizes hands-on engineering, technical problem solving, and collaboration with project leadership to translate business requirements into actionable solutions. You will help establish best practices for data quality, architecture, and performance while contributing to strategic initiatives. The ideal candidate thrives in fast-moving environments, operates independently, and enjoys building high-impact financial data solutions.

• Accountabilities:
• Design, build, and maintain data pipelines and warehouse components within the Oracle ecosystem.
• Develop, support, and optimize reporting in Oracle Fusion Data Intelligence (FDI), including creating reports as needed.
• Partner with data engineers and project leadership to translate business requirements into data models, pipelines, and deliverables.
• Contribute to standards for data quality, architecture, performance, and maintainability.
• Troubleshoot, optimize, and validate data flows to ensure accuracy and consistency across financial datasets.
• Enable scalability and efficiency of the finance data warehouse during the build-out phase.
• Requirements:
• Strong expertise in Oracle FDI (Fusion Data Intelligence), including report development and optimization.
• Senior-level experience in data engineering with hands-on ability to design and implement pipelines.
• Familiarity with data modeling, warehouse architecture, and finance or ERP-related datasets.
• Strong problem-solving skills and the ability to operate independently in a fast-moving environment.
• Excellent communication and collaboration skills to work with cross-functional teams.
• Preferred: Experience with data quality frameworks, governance practices, or conceptual/logical/physical data modeling.
• Benefits:
• Play a key role in building a high-impact finance data warehouse.
• 100% remote role with flexible hours.
• Work closely with a talented engineering team and influence architectural decisions.
• Opportunity to deepen expertise in Oracle’s modern data ecosystem.
• Supportive culture that emphasizes collaboration, growth, and knowledge sharing.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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