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Cascade is a fintech startup backed by Canadian and US investors that democratizes access to institutional debt for companies globally. Founded in 2022, the company is building tools to modernize how companies raise and manage debt, lowering barriers to entry into the $7 trillion specialty finance and alternative credit market.
As a Data Engineer, you'll be an early member of a growing technical team building a pioneering platform in the debt infrastructure space. You will design, build, and launch efficient, scalable, and reliable data pipelines to move and transform data across the organization.
Key responsibilities include:
- Building databases, data lakes, and data ingestion pipelines to integrate customer databases and datasets into Cascade's systems
- Ingesting financial datasets from external customers and maintaining accurate, complete data mappings to ensure high-quality product data
- Monitoring and alerting across data pipelines to ensure reliable and correct data ingests
- Translating business goals and stakeholder requirements into new data flows and delivering analytical insights that create real business value
- Developing APIs and integrating with third-party APIs
The company is remote-first with flexible hours, offers a $1,000 USD home office allowance, equity with an owner-mentality approach, weekly free lunches, and off-site trips. You'll have autonomy, opportunities for mastery, and the chance to impact companies around the world.
REQUIREMENTS:
- 3+ years of experience in a data engineering or data analyst role
- Experience with relational SQL and NoSQL databases (PostgreSQL, MySQL, MariaDB, MongoDB, Bigtable, etc.)
- Experience working with loan or credit data
- Experience with ETL technologies (Databricks, Fivetran, dbt)
- Proficiency in writing SQL queries and knowledge of analytical data warehouses (RedShift, BigQuery, Snowflake)
- Some experience with CI/CD automation (GitHub Actions)
- Bonus: fintech/SaaS experience or credit analysis background
