Data Infrastructure Engineer Intern

About Sezzle :

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role:

We are seeking a talented and motivated Data Infrastructure Engineer Intern who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

What You’ll Do:

• Assist in maintaining and improving our data warehousing systems (AWS DMS, Redshift).
• Support the team in monitoring data pipelines, identifying issues, and troubleshooting 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 reliability of data systems.
• Identify and automate repetitive daily manual processes, reducing operational overhead and improving team efficiency.
• Learn and explore new tools and technologies in the data ecosystem.

What We Look For:

• Currently pursuing (or recently completed) a degree in Computer Science, Data Engineering, or a related technical field.
• Basic understanding of relational databases (MySQL, Postgres, relational concepts) and no sql databases.
• Familiarity with at least one programming language (Python, Go, or similar).
• 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.
• Leveraged AI tools such as Claude to accelerate development workflows, troubleshoot complex technical issues, and enhance productivity.

Preferred Knowledge and Skills:

• Exposure to cloud platforms (AWS preferred).
• Basic understanding of data pipelines or ETL concepts.
• Awareness of data warehousing concepts.
• Interest in big data or streaming technologies (Kafka, Kinesis Streams, Flink etc.)<