Data Integration Engineer - AI / Financial Systems

Job Title : Data Integration Engineer - AI / Financial Systems

Reports to : Director of Quality Engineer

Type : Salaried, Full-time

Location : Remote

Travel Requirements : Company has bi-annual in-person encouraged but not mandatory meetings.

About Crunchafi

Crunchafi (formerly LeaseCrunch) is revolutionizing the world of accounting with easy-to-use, cloud-based solutions designed to simplify complex financial data management. Our products empower CPA firms and financial professionals by streamlining lease accounting, data extraction, and cash flow forecasting, helping them deliver strategic value faster and more efficiently. Trusted by over 750 firms and more than 27,000 companies, Crunchafi combines cutting-edge technology with expert support to power the future of accounting.

Our Team

Crunchafi is made up of passionate, forward-thinking professionals committed to transforming the accounting industry. Our team is dedicated to providing innovative solutions that simplify accounting processes and provide actionable financial insights. We value collaboration, creativity, humor, and a shared vision of improving the accounting profession through technology.

Why Join Us?

We are looking for talented individuals to join our growing team and contribute to our mission of empowering CPA firms and financial professionals. At Crunchafi, you'll be part of a dynamic, collaborative environment where your ideas are valued, and your growth is supported. We offer a rewarding work / life balance, opportunities for professional development, and a chance to make a real impact in the world of accounting.

Position Overview

Crunchafi is looking for an individual to help us build SaaS applications with a focus on Microsoft and Azure PaaS technologies. You will work in a team-based environment with other software engineers on designing, building and testing product features.

Ideal Candidate

• Capable of owning features end-to-end, from architecture to deployment
• Familiarity with developing microservices / event-driven architecture.
• Understands ERP systems (e.g., NetSuite, Sage, Microsoft Dynamics, QuickBooks) and how to extract financial data such as AP / AR, trial balances, and journal entries.
• Skilled at designing data pipelines that can ingest structured financial exports.
• Comfortable applying machine learning or LLM-based approaches to classify and interpret financial data
• Comfortable in situations where requirements are evolving and opportunity is greenfield.

Who You Are

Benefits