Data Engineer jobs in Canada
Senior Data Engineer - Databricks, Python & MongoDB
Flagler Health
Remote Senior Software & Data Engineer for Health Tech
NHS
Senior Data Engineer - Data Pipelines, AWS & Snowflake
Roche
Lead Data Engineer: Fabric Lakehouse Architect (Canada)
Valtech
Geospatial Data Engineer for Climate AI Pipelines
GHGSAT
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Valsoft Corporation
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Rockstar
Senior Catalog Data Engineer - Remote & Impactful Pipelines
Instacart
Senior Analytics Engineer: Data Platform Architect & AI-Driven Governance
Spring Financial
Hybrid Full‑Stack Data Engineer — Spark, Databricks
PowerToFly
Senior Fullstack Engineer - Data Browsing & Dashboards
Sentry
Senior Customer Engineer — Data Platform & Governance
Collibra
Senior Data Engineer - TA Apps & Data Pipelines
PowerToFly
Hybrid Senior Full-Stack Engineer Data Pipelines
Source Code
Senior Data Engineer - Databricks, Python & MongoDB
Job summary
A fast-growing healthtech company is seeking a skilled data engineer to join their team in Vancouver. The role involves developing and managing data pipelines on the Databricks platform, writing efficient Python code, and managing data in MongoDB. The ideal candidate has proven experience with large-scale data processing and a strong understanding of data architecture. This position offers opportunities for personal and professional growth in a dynamic startup environment.
Qualifications
- Proven experience with Databricks and Spark compute.
- Strong Python skills, including API development.
- Familiarity with NoSQL databases, particularly MongoDB.
- Experience in large-scale data processing.
Responsibilities
- Develop and manage data pipelines on Databricks.
- Write clean and efficient Python code.
- Integrate and manage data in MongoDB.
- Collaborate with stakeholders to deliver data solutions.
Skills
Tools
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.