Sezzle is hiring a
Data Engineer in United States of Colombia

Summary

The job is for a Data Engineer at Sezzle, a fintech company that offers interest-free installment plans to consumers. The role involves building, running, and improving the data infrastructure. Minimum requirements are a Bachelor's degree in Computer Science or a related field. Preferred skills include experience with AWS services, data-focused languages, machine learning, orchestration tools, deployment/provisioning tools, and familiarity with MLOps principles.

Requirements

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

Responsibilities

• 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

Preferred Qualifications

• 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