Senior Data Engineer (Oracle)

About the role

At Sparq, we help companies solve the right problems—not just build more technology. We’re a modern product engineering partner blending strategy, craftsmanship, and speed to help organizations modernize confidently in the age of AI. From data ecosystems to digital products and AI acceleration, we turn complexity into clarity and ideas into impact. If you’re driven to build what’s next, lead with empathy, and deliver excellence without ego, you’ll feel right at home at Sparq.

C2C is not available. Must be authorized to work in the U.S. without sponsorship.

Responsibilities

• Design, develop, and maintain data pipelines supporting the migration of financial data from legacy Oracle databases into an Oracle ERP environment.
• Write and optimize complex SQL and PL/SQL to extract, transform, reconcile, and validate high-volume financial data.
• Build backend integrations using APIs, middleware, and established integration patterns to enable reliable data exchange across enterprise systems.
• Translate financial data structures and business rules into accurate mappings for General Ledger, Accounts Payable, Accounts Receivable, Policy, and Claims Administration workflows.
• Partner with business analysts, accounting stakeholders, and technical teams to clarify requirements and resolve data or integration issues.
• Actively use AI tools, including Claude through our Anthropic partnership, to streamline tasks, improve the quality of your work, and share best practices with teammates while continuously seeking new ways to integrate AI into your everyday workflows.