Join Sezzle as Our New Data Engineer

About the Role:

We are on the hunt for a skilled Data Engineer to enhance our team by building, running, and optimizing the data infrastructure that is pivotal for powering our engineering and data teams' services. In this dynamic role, you will be involved in the development, testing, and maintenance of data tooling and services, leveraging a blend of cloud products, open-source tools, and bespoke applications. The ideal candidate should be capable of crafting high-quality, scalable solutions to a wide array of problems. We offer an excellent opportunity for career growth in a fast-paced environment.

About Sezzle:

At Sezzle, we are at the forefront of financial technology, committed to empowering the next generation financially. Addressing the gaps in millennials' credit usage and scores, Sezzle provides an innovative payment platform that offers interest-free installment plans at online stores. This not only enhances the purchasing power of consumers but also significantly boosts sales and basket sizes for our thousands of eCommerce partners.

Key Responsibilities:

• Collaborate with our team to plan, design, and develop tools and services that enhance our internal data infrastructure and the pipelines that feed it using technologies like Python, Go, AWS, Terraform, and Kubernetes.
• Develop and implement monitoring and alerting systems for our data infrastructure to ensure early detection of issues.
• Conduct ongoing maintenance tasks, such as applying upgrades to our data systems.
• Support product developers, data scientists, and machine learning engineers in debugging and triaging production issues.
• Work closely with cross-functional teams to integrate machine learning solutions into production systems.
• Engage in postmortem reviews and suggest improvements to enhance the reliability of our platforms.
• Maintain documentation of your actions and develop automation solutions to minimize routine work.

Minimum Requirements:

Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related field.

Preferred Knowledge and Skills:

• Proven experience with AWS services like Redshift, Glue, Sagemaker, etc.
• Proficiency in data-focused programming languages such as Python or SQL.
• Experience or knowledge in machine learning model training and deployment.
• Familiarity with ML frameworks and libraries, e.g., TensorFlow, PyTorch.
• Understanding of MLOps principles is advantageous.
• Knowledge of orchestration tools like Dagster/Airflow.
• Basic understanding of Golang, Docker, and Kubernetes.
• Familiarity with deployment/provisioning tools like Terraform, Helm, Ansible.
• Ability to document requirements and specifications clearly and effectively.

About You:

You are known for your exceptionally high standards, innovative spirit, and your ability to thrive in a fast-paced environment. Trustworthiness, respect in communication, and a proactive attitude are ingrained in your professional conduct. Your willingness to take calculated risks and commit wholly to decisions once made, bolster the success and integrity of our team.

What Makes Working at Sezzle Awesome?

At Sezzle, we value the rich diversity and collective brilliance of our team. Here, you’re not just another employee but an essential part of a thriving culture that embraces innovation, integrity, and continuous development. We don’t just offer perks; we ensure a work experience that is meaningful and fulfilling.

Location: Remote (Colombia) #Li-remote

We look forward to your application as we aim to help you embark on your most fulfilling journey yet!