[Hiring] Credit & Lending Data Engineer @Cascade Debt

Role Description

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

Qualifications

• 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

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
• Benefits: health, dental, vision, and more
• 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