Sezzle
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.
201 - 500 employees
Founded 2016
💳 Fintech
👥 B2C
🛍️ eCommerce
Senior Data Engineer
Job not on LinkedIn
3 days ago
Sezzle
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.
201 - 500 employees
Founded 2016
💳 Fintech
👥 B2C
🛍️ eCommerce
📋 Description
• Design, build, and optimize large-scale, high-performance data pipelines to support analytics and operational workflows • Architect and evolve Sezzle’s data ecosystem • Lead development of ETL/ELT workflows using Redshift, DBT, AWS DMS • Partner with cross-functional teams to gather or adapt requirements and deliver robust datasets • Evaluate and integrate new technologies • Optimize Redshift and warehouse performance
🎯 Requirements
• 9+ years of experience in data engineering • Deep expertise with AWS Redshift or similar products • Strong hands-on experience with ETL/ELT frameworks, especially DBT, AWS DMS • Proficiency in SQL and at least one programming language such as Python, Scala, or Java • Experience building and maintaining AWS-based data platforms, including S3, Lambda, Glue, or EMR • Strong understanding of data modeling and distributed systems • Ability to work in a fast-paced, collaborative environment with excellent communication and documentation skills.
🏖️ Benefits
• Health insurance • Competitive salary
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