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Data Engineer – Credit & Lending Platform

Cascade Debt

Remote
Remote Mid 🇬🇧 English
PostgreSQL MySQL MariaDB MongoDB Bigtable Databricks Fivetran dbt SQL RedShift BigQuery Snowflake GitHub Actions

Descripcion del puesto

About the role

Cascade is looking for a Credit & Lending Data Engineer to join a fast‑growing fintech team. You will help build a high‑impact, global platform that modernises how companies raise and manage debt.

Key responsibilities

  • Design, build and maintain databases, data lakes and ingestion pipelines for customer and financial datasets.
  • Ingest external financial data, keep data mappings accurate and ensure high‑quality data for downstream products.
  • Implement monitoring and alerting to guarantee reliable data flows.
  • Translate business goals and stakeholder requirements into scalable data pipelines that deliver analytical insights.

Required profile

  • 3+ years of data‑engineering experience, preferably with credit or lending data.
  • Hands‑on experience with relational and NoSQL databases (PostgreSQL, MySQL, MariaDB, MongoDB, Bigtable).
  • Proficiency with ETL tools such as Databricks, Fivetran or dbt.
  • Strong SQL skills and familiarity with analytical warehouses (RedShift, BigQuery, Snowflake).
  • Experience with CI/CD automation (e.g., GitHub Actions) and API development.

Required skills

  • PostgreSQL
  • MySQL
  • MariaDB
  • MongoDB
  • Bigtable
  • Databricks
  • Fivetran
  • dbt
  • SQL
  • RedShift
  • BigQuery
  • Snowflake
  • GitHub Actions
  • API development

What we offer

  • Remote‑first work environment with flexible hours.
  • $1,000 USD home‑office allowance.
  • Equity participation.
  • Free weekly lunches and off‑site trips.
  • Autonomy, opportunities for mastery and a chance to impact companies worldwide.

Questions fréquentes

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