Business Intelligence Engineer II

**Kafene is revolutionizing the lease-to-own space.** We're the point-of-sale powerhouse making flexible lease-to-own accessible to everyone—prime and non-prime customers alike. Our secret weapon? Cutting-edge AI and machine learning that analyzes 20,000+ data inputs in real-time, empowering retailers across furniture, appliances, electronics, tires, and durable goods to say "yes" to more customers. The numbers tell our story: **over $400 million in sales** and counting. But we're just getting started. Our 150-person team spans NYC headquarters, Wilmington, and remote talent across the nation—all united by a culture that thrives on collaboration, innovation, and genuine support. We don't just talk about great workplace culture; we deliver it. That's why [**Built In named us a Startup to Watch**](https://www.linkedin.com/company/built-in/?lipi=urn%3Ali%3Apage%3Ad_flagship3_detail_base%3B2jXPbPYzTW6P2Su6%2BfrBvw%3D%3D) and [**Forbes recognized us as one of the Best Startup Employers**](https://www.forbes.com/sites/rachelpeachman/2023/03/07/meet-americas-best-startup-employers-2023/?sh=5a67d150410c). Ready to be part of the fintech revolution? Join us. The Data Engineering Team is the driving force behind our data-driven culture at Kafene. We partner closely with Kafene’s Risk, Technology, Sales, and Product teams to understand the various business processes that make up our users' day-to-day responsibilities and help to identify areas of improvement. We are seeking a Business Intelligence Engineer to join our growing team. This role will be responsible for helping provide technical experience in extracting, integrating, and analyzing critical data that helps to identify complex business challenges, identify opportunities, and assist in the designing of solutions to improve our operations. The ideal candidate is extremely collaborative with excellent communication skills and is relentless in their pursuit of project completion. ## Key Responsibilities: - Apply technical expertise to independently execute the extraction, integration, and analysis of critical data - Identify complex business challenges, uncover opportunities, and design solutions that improve business operations - Develop, maintain, and enhance internal data warehouses and datamarts to support scalable reporting and analytics - Build and optimize ETL processes and CI/CD pipelines across multiple tools and technologies - Analyze and investigate data defects, partnering with stakeholders to determine root causes and implement corrective actions - Collaborate with Tech, Risk, RevOps, and Marketing teams to execute cross-functional initiatives and support business objectives ## Core Skills and Qualifications: - Master of Science degree in computer science, data science/analytics, or business analytics. - 2 years’ work experience in data engineering. - Experience must include building ETL pipelines, conducting cost analysis and using AWS technologies, SQL, Python, and Snowflake. ## **Compensation and Benefits:** - Base Salary: Earn a competitive base salary of $130,000 - $150,000, - Healthcare: We prioritize your well-being by covering 80% of medical, dental, and vision insurance costs, including coverage for your spouse, children, and other dependents. - Retirement Benefits: Begin planning for your future from day one with our 401 (k) plan. - Paid Time Off: We understand the importance of work-life balance. That's why we offer flexible paid time off days starting from day one of your employment. **We're building a team as diverse as the customers we serve**. Kafene is proud to be an equal-opportunity employer, and we mean it. We welcome qualified applicants of every race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, veteran status, and all other legally protected characteristics. **Need accommodation during the application** process? We've got you. If you're applying for a U.S. position and require reasonable accommodation at any stage, reach out to with details about your request and contact information. We're here to help make the process work for you. *Note: This email address is specifically for accommodation requests and will only respond to those inquiries.*