Senior Software Engineer

Summary

Join Cadmus, a global EdTech company, and contribute to our mission of providing high-quality education to 1 billion students by 2050. As a Senior Software Engineer, you will play a key role in developing and maintaining scalable data pipelines, integrating data from various sources, and ensuring our data architecture supports business intelligence and analytics. You will collaborate with cross-functional teams to build and optimize our data infrastructure, focusing on delivering a high-quality user experience. This role requires extensive experience in data engineering, Amazon Redshift, Python, and AWS, along with strong product engineering skills. The position offers a remote-friendly, flexible work culture and opportunities for professional development. We are a small, fast-growing team, and you will need to be highly autonomous and proactive.

Requirements

• 6+ years of overall experience, with 3+ years in data engineering
• Expertise in Amazon Redshift, Python, and AWS
• Hands-on experience with dbt (Data Build Tool) for managing SQL transformations and data models
• Extensive experience with AWS services such as S3, Lambda, EC2, RDS, and CloudWatch
• Expertise in data modeling concepts and designing efficient data structures (e.g., star schemas, snowflake schemas) in a data warehouse environment
• Experience building ETL/ELT pipelines and integrating data from multiple sources, including structured and unstructured data
• 2+ years of working with large, complex datasets
• Advanced knowledge of SQL for querying and optimizing large datasets in Redshift
• Experience in building large-scale data scraping processes for business intelligence purposes
• Experience working with data analysts to cleanup data anomalies and building dashboard reports
• Flexibility and comfort with ambiguity
• Experience scaling systems to support rapid growth
• Ability to work autonomously and proactively
• Ability to achieve at least 6 hours of overlap with AEST timezone between 9 AM and 6:30 PM

Responsibilities

• Develop and maintain scalable data pipelines
• Integrate data from multiple sources
• Ensure data architecture supports business intelligence, reporting, and analytics requirements
• Collaborate with cross-functional teams to build and optimize data infrastructure
• Provide clean, high-quality data to the business
• Help build great products for users
• Ensure product features are reliable, performant, and scalable
• Solve exciting engineering challenges
• Deliver improved functionality

Preferred Qualifications

• Knowledge of Jinja templating in Python
• Good experience in Airflow and MWAA
• Experience with DevOps practices for managing infrastructure and CI/CD pipelines (Docker, Kubernetes)
• 2+ years of professional experience in backend or full-stack software development
• Ability to develop rich front-end applications in React
• Experience writing backend services in Elixir/Go/Python/Ruby, with GraphQL and REST APIs
• Experience building things from zero
• Strong interest in AI/ML, with an understanding of machine learning pipelines and how data engineering supports AI/ML initiatives
• Ability to conceive and run experiments, and finetune models

Benefits

• Remote-friendly, flexible working culture
• Diverse and inclusive workplace
• Mentoring and succession planning for your career