数据基础设施工程师实习生
Data Infrastructure Engineer Intern
关于 Sezzle：
以赋能下一代的金融为目标，Sezzle 正在超越支付本身，重新定义购物体验。我们结合前沿技术与无缝的免息分期计划，让购物更智能、更便捷。我们不仅在改变支付方式，更在重新定义人们发现、互动和购买喜爱商品的方式，通过提升转化率和订单价值，为商家带来实际影响。随着我们持续塑造金融科技和零售的未来，我们正在打造一支创新、充满活力的团队，他们热衷于创造的不只是交易，而是一次真正独特的购物旅程。如果你对科技的边界充满热情，并希望为消费者和商家带来变革性的体验，欢迎加入 Sezzle，共同创造购物的未来！
职位描述：
我们正在寻找一位才华横溢且积极进取的数据基础设施工程师实习生，要求具备一流的技能，高智商加高情商。这个职位为在快速成长的团队中，在动态、快节奏的环境中蓬勃发展提供了令人兴奋的机会，并拥有丰富的职业发展机会。
你将负责：
- 协助维护和优化我们的数据仓库系统（AWS DMS、Redshift）。
- 支持团队监控数据管道，识别问题并解决基本问题。
- 编写和优化 SQL 查询用于分析和数据验证。
- 与工程师和分析师合作，理解数据需求并支持使用场景。
- 参与测试、文档编写以及提升数据系统的可靠性。
- 识别并自动化重复的日常手动流程，减少运营负担，提高团队效率。
- 学习和探索数据生态系统中的新工具和技术。
我们寻找：
- 正在攻读（或已毕业）计算机科学、数据工程或相关技术领域的学位。
- 对关系型数据库（MySQL、Postgres、关系概念）和非关系型数据库有基本了解。
- 熟悉至少一种编程语言（Python、Go 或类似）。
- 对数据基础设施、分布式系统或后端工程感兴趣。
- 具备强大的解决问题能力，并乐于学习。
- 能够在协作的团队环境中工作。
- 必须有使用 Claude 或等效大语言模型工具的经验；候选人必须能够熟练使用。
查看英文原文
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.
- Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.
- 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.)
About You:
- You’re curious and proactive - you ask questions and seek to understand how things work.
- You take ownership of your learning and follow through on tasks.
- You’re open to feedback and eager to improve.
- You communicate clearly and work well with others.
- You’re excited to build real-world skills in data engineering.
Sezzle’s Technology Stack:
- Languages: Golang, Typescript, Python
- Frontend: Typescript - React and React Native
- Backend: Golang
- Database: MySQL, Postgres, Elasticsearch, Redshift
- DevOps & Cloud: AWS, Kubernetes
- Version Control: Git
- CI/CD: Gitlab
- Testing: Developer and AI-driven, focus on automated end-to-end, integration, and unit tests
- Open Source: We build before we buy whenever possible
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
Compensation: The salary for the Data Infrastructure Engineer Intern is $2.800.000 COP monthly.
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