Senior Software Engineer - Data

February 26

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Cadmus

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Cadmus is an online assessment platform designed to support learners and empower educators in higher education. By providing proctor-free exam alternatives and enhancing online assessment experiences, Cadmus aims to improve student outcomes and engagement. Its features include learning analytics and scalable intervention opportunities to help students succeed in their studies and transform teaching and learning. Cadmus is globally trusted by leaders in higher education for its holistic approach to academic misconduct, assessment redesign, and curriculum reform.

Education • Software • UX Design • Functional Programming

11 - 50 employees

📚 Education

☁️ SaaS

🤝 B2B

📋 Description

• At Cadmus, we believe every student should have equal opportunity to achieve academic excellence; that’s why we’re changing how the world learns! • Cadmus is a global EdTech company purposefully built for the higher education sector to break down global learning barriers by providing educators and diverse student cohorts with access to high-quality learning and assessment. Built on rich, student-centric values, Cadmus empowers individuals to achieve their highest potential and graduate with the critical skills and knowledge to impact our workforces, communities, and evolving world profoundly. • What Will You Do? • At Cadmus, we’re working hard to achieve an ambitious, world-shaping goal: to provide 1 billion students with access to high-quality education by 2050. • That’s why we need a Senior Software Engineer (Data) with 4+ years of experience in data engineering. This person will be primarily responsible for developing and maintaining scalable data pipelines, integrating data from multiple sources, and ensuring that our data architecture supports business intelligence, reporting, and analytics requirements. You will collaborate with cross-functional teams to build and optimize our data infrastructure and provide clean, high-quality data to the business.

🎯 Requirements

• Tooling: • Amazon Redshift • AWS (S3, Lambda, EC2, RDS, and CloudWatch) • Python • dbt • Business Intelligence tools • Bonus: Jinja, Airflow, MWAA • Engineering Experience: • Have used dbt for solving real problems at work. You know where it can get tricky, and you have found a way around issues. • You have used Redshift extensively, and you know the best practices for working and maintaining data on it. • Have used data modelling concepts (e.g. star, snowflake) to design efficient data structures in a data warehouse environment. You have seen scaling without loss of performance • Built ETL/ELT pipelines and integrated data from multiple sources, including structured and unstructured data. • Have worked with large, complex datasets, with advanced knowledge of SQL for querying and optimizing. • Built large-scale data scraping processes for business intelligence purposes. • Startup DNA: • You have been entrusted with critical decision-making. • You understand the pros and cons of the decisions that you have taken, and have reflected upon them. • You can take an idea and take it all the way to closure, with minimal hand-holding. • You’re flexible, comfortable with ambiguity, and have experience scaling systems to support rapid growth. • You have been a one-person army when needed, working with multiple stakeholders for their data needs.

🏖️ Benefits

• A remote-friendly, flexible working culture; where you can work from any global location • A diverse and inclusive workplace where there are no barriers to anyone succeeding • A surrounding team of mission-driven individuals who genuinely love what they do • Mentoring and succession planning for your career