- Salary
- C$110k – C$160k/yr
- Location
- Downtown Toronto
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Engineering
- Seniority
- Manager
- Source
- Lever
Description
About the Role
We are hiring for both permanent and contract positions for this role.
We're looking for a developer to help build and maintain data pipelines on Databricks for a financial services/wealth management data platform. The platform ingests data from multiple source systems, transforms it through a medallion architecture (bronze → silver → gold) using PySpark, and publishes curated data to downstream consumers via file exports and Kafka. You'll work alongside a senior engineer, writing transform code, fixing pipeline issues, and helping keep the environment healthy across dev/qa/uat.
This is a good fit for someone with solid Python fundamentals and some Spark/SQL exposure who wants to grow into a data engineering specialist. You won't be expected to know Databricks internals on day one — you will be expected to learn fast, ask good questions, and write clean code.