Data Engineer (Colombia)

About the Role: 

We are looking for a Data Engineer who will assist us building, running and improving the data infrastructure that data and engineering teams use to power their services.  Your duties will include the development, testing, and maintenance of data tooling and services, using a combination of cloud products, open source tools and internal applications. You should be able to build high-quality, scalable solutions for a variety of problems. We are seeking a talented and motivated Data Engineer 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.

About Sezzle:

Sezzle is a cutting-edge fintech company dedicated to financially empowering the next generation. With only one in three millennials owning a credit card and the majority lacking their desired credit scores, Sezzle addresses these challenges through a payment platform that offers interest-free installment plans at online stores. By increasing consumers' purchasing power, Sezzle drives sales and basket sizes for thousands of eCommerce merchants that it partners with.

Key Responsibilities Include:

• Work with a team to plan, design and build tools and services that improve our internal data infrastructure platform and the pipelines that feed it using Python, Go, AWS, Terraform, and Kubernetes.
• Develop monitoring and alerting of our data infrastructure to detect problems.
• Perform ongoing maintenance of our data infrastructure, such as apply upgrades.
• Assist product developers, data scientists and machine learning engineers in debugging and triaging production issues.
• Collaborate with cross-functional teams to integrate machine learning solutions into production systems
• Take part in the postmortem reviews, suggesting ways we can improve the reliability of our platform.
• Document the actions you take and produce both runbooks and automation to reduce day to day toil.

Minimum Requirements:

• Bachelor's in Computer Science, Data Science, Machine Learning or a related field

Preferred Knowledge and Skills:

• Experience with AWS services like Redshift, Glue, Sagemaker etc
• Experience with Data Focused Languages such as Python or SQL
• Knowledge of ML model training/deploy is a plus
• Knowledge in data analysis algorithms (e.g. statistics, machine learning)
• Familiarity with machine learning frameworks and libraries, such as TensorFlow or PyTorch
• Experience with MLOps principles is a plus
• Familiarity with orchestration tools like Dagster/Airflow
• Basic knowledge of Golang, Docker and Kubernetes
• Familiarity with deployment/provisioning tools like Terraform, Helm, Ansible
• Experience documenting requirements and specification

About You: 

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.

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. Sezzle recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting our mission.

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