Business Intelligence Engineer II
Kafene is revolutionizing the lease-to-own space as the point-of-sale powerhouse making flexible lease-to-own accessible to everyone—prime and non-prime customers alike. Our cutting-edge AI and machine learning analyzes 20,000+ data inputs in real-time, empowering retailers across furniture, appliances, electronics, tires, and durable goods to say "yes" to more customers. With over $400 million in sales and a 150-person team spanning NYC headquarters, Wilmington, and remote talent nationwide, we foster a culture of collaboration, innovation, and genuine support. Built In named us a Startup to Watch and Forbes recognized us as one of the Best Startup Employers.
About the role
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 business processes and identify areas of improvement. As a Business Intelligence Engineer, you will provide technical expertise in extracting, integrating, and analyzing critical data to identify complex business challenges, uncover opportunities, and design solutions that improve operations.
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
Requirements
- Master of Science degree in computer science, data science/analytics, or business analytics
- 2+ years of work experience in data engineering or business intelligence engineering
- Experience presenting findings and collaborating with cross-functional teams
- Proficiency with AWS technologies, SQL, Python, data warehousing, ETL pipelines, BI Dashboards, and Snowflake
- Keen attention to detail, obsessive organization, and excellent documentation skills
Benefits
- Base Salary: $130,000 - $150,000
- Healthcare: 80% coverage of medical, dental, and vision insurance costs for you, your spouse, children, and other dependents
- Retirement Benefits: 401(k) plan available from day one
- Paid Time Off: Flexible paid time off starting from day one