
Fintech • B2C • eCommerce
Sezzle is a financial technology company that offers a "buy now, pay later" service, allowing consumers to purchase products and pay for them in four interest-free installments over six weeks. The Sezzle app provides users with a flexible financing alternative to traditional credit cards, enabling instant approval decisions without impacting credit scores. Sezzle partners with various top brands, including Amazon, Walmart, and Target, to offer in-app and in-store payment options. The company's mission is to empower consumers financially by providing more financial freedom and control. It is available as a mobile app, with millions of downloads and high user ratings, and works towards accessibility and inclusion on its platform.
4 days ago

Fintech • B2C • eCommerce
Sezzle is a financial technology company that offers a "buy now, pay later" service, allowing consumers to purchase products and pay for them in four interest-free installments over six weeks. The Sezzle app provides users with a flexible financing alternative to traditional credit cards, enabling instant approval decisions without impacting credit scores. Sezzle partners with various top brands, including Amazon, Walmart, and Target, to offer in-app and in-store payment options. The company's mission is to empower consumers financially by providing more financial freedom and control. It is available as a mobile app, with millions of downloads and high user ratings, and works towards accessibility and inclusion on its platform.
• Design, build, and optimize large-scale data pipelines • Architect and evolve Sezzle’s data ecosystem • Lead development of ETL/ELT workflows using Redshift, DBT, and AWS DMS • Partner with cross-functional teams to gather requirements • Evaluate and integrate new technologies into Sezzle's data stack
• 9+ years of experience in data engineering • Deep expertise with AWS Redshift or similar products • Strong hands-on experience with ETL/ELT frameworks • Proficiency in SQL and at least one programming language (Python, Scala, or Java) • Experience building and maintaining AWS-based data platforms • Strong understanding of data modeling and distributed systems
• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development
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