Sezzle
201 - 500 employees
Founded 2016
💳 Fintech
👥 B2C
🛍️ eCommerce
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.
Data Infrastructure Engineer Intern
Job not on LinkedIn
🕒 April 9
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Sezzle
201 - 500 employees
Founded 2016
💳 Fintech
👥 B2C
🛍️ eCommerce
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.
📋 Description
• Assist in maintaining and improving data warehousing systems using AWS DMS and Redshift • Monitor data pipelines, identify issues, and troubleshoot basic problems • Write and optimize SQL queries for analytics and data validation • Collaborate with engineers and analysts to understand data needs and support use cases • Participate in testing, documentation, and improving data system reliability • Identify and automate repetitive daily manual processes to reduce operational overhead and improve team efficiency • Learn and explore new tools and technologies in the data ecosystem
🎯 Requirements
• Currently pursuing or recently completed a degree in Computer Science, Data Engineering, or a related technical field • Basic understanding of relational databases, including MySQL, Postgres, and relational concepts • Basic understanding of NoSQL databases • Familiarity with at least one programming language, such as Python or Go • Interest in data infrastructure, distributed systems, or backend engineering • Strong problem-solving skills and willingness to learn • Ability to work in a collaborative team environment • Demonstrated experience working with Claude or equivalent large language model tools is required • Comfortable leveraging AI to enhance productivity, research, and communication • Exposure to cloud platforms, preferably AWS • Basic understanding of data pipelines or ETL concepts • Awareness of data warehousing concepts • Interest in big data or streaming technologies such as Kafka, Kinesis Streams, or Flink
🏖️ Benefits
• Career advancement opportunities • Opportunity to learn and explore new tools and technologies • Collaborative team environment • Feedback and learning opportunities • AI tools to enhance productivity, research, communication, and development workflows
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