Do you want to work in a small team where you can make a real difference in a company? Would you embrace the challenge of building a high impact platform that is used globally? Then we want to speak with you!
About Cascade:
Cascade is a fintech startup backed by Canadian and US investors that empowers companies to grow by democratizing access to institutional debt. We are building tools that modernize how companies raise and manage debt, lowering the barriers to entry to the $7 trillion specialty finance and alternative credit market for companies around the world. We are gearing up for our next phase of technical development and are seeking a talented Credit & Lending Data Engineer to lead the way.
About the role:
As a Credit & Lending Data Engineer you’ll be an early member of a growing 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.
What You’ll Do
Building databases, data lakes and data ingestion pipelines to integrate customer databases and datasets to our systems
Ingesting financial datasets from external customers, then updating and maintaining accurate and complete data mappings to ensure that our products are displaying high quality data
Monitoring and alerting across our data pipelines in order to make sure that our data ingests are reliable and correct
Translating business goals and stakeholder requirements into new data flows and deliver analytical insights ensuring that the data flows create real business value continuously
Skills And Experience
3+ years experience in a data engineering role working with credit or lending data
Experience with relational SQL and NoSQL databases, including PostgreSQL, MySQL, MariaDB, MongoDB, Bigtable, etc.
Experience working with ETL technologies, such as Databricks, Fivetran, or dbt
Proficiency in writing SQL queries and knowledge of analytical data warehouses such as RedShift, BigQuery, and Snowflake
Some experience with CI/CD automation such as GitHub Actions
Developing APIs and integrating with 3rd party APIs
Bonus: experience in fintech / SaaS / credit analysis / lending
People who thrive at Cascade are:
Self-starters, who take the initiative to tackle challenges in a remote work environment
Good communicators, who can operate without ego to discuss, learn, grow, and help others do the same
Passionate about creating great digital experiences for users
Problem solvers who are not satisfied with the status quo
Benefits
Remote: we are a remote-first company and are very flexible on hours as long as things get done
Home-office: there’s a $1000 USD home office allowance to set yourself up
Equity: we expect you to have an owner-mentality, and have the equity plan to match
Perks: we offer free lunches weekly and off-site trips
Job satisfaction: we offer autonomy, ample opportunities for mastery, and an opportunity to make a difference for companies around the world
Skills Required
- 3+ years experience in a data engineering role working with credit or lending data
- Experience with relational and NoSQL databases (PostgreSQL, MySQL, MariaDB, MongoDB, Bigtable)
- Experience working with ETL technologies such as Databricks, Fivetran, or dbt
- Proficiency in writing SQL queries and knowledge of analytical data warehouses (Redshift, BigQuery, Snowflake)
- Some experience with CI/CD automation such as GitHub Actions
- Developing APIs and integrating with third-party APIs
- Experience in fintech, SaaS, credit analysis, or lending
What We Do
Cascade is a global end-to-end technology platform designed for the specialty finance and asset-based lending markets. Its mission is to democratize access to institutional debt and empower companies to grow by streamlining complex debt processes. The platform provides originators and investors with independently verified data, risk analytics, and deal monitoring to increase transparency and scale debt portfolios efficiently.
