Data Engineer (Databricks)

📋 Description

• Build, maintain, and optimize data tables, views, jobs, pipelines, and orchestration workflows
• Develop pipelines that deliver syndicated and custom audience segments from survey and ML signals.
• Apply data modeling and architecture best practices; improve testing, repositories, CI/CD, naming
• Support delivery and performance reporting of audience segments via data marketplaces and partner
• Explore real-time processing with Spark Structured Streaming and Lakehouse pipelines.
• Maintain data observability, metadata standards, documentation, and data quality practices.

🎯 Requirements

• Bachelor's or Master's in CS or related field.
• 4+ years of professional Data Engineering experience with Python, SQL, Spark, and distributed
• 2+ years hands-on with Databricks (Jobs & Workflows, Notebooks, Unity Catalog, Delta Lake).
• Strong DB design, data structures, algorithms, data modeling, and scalable architecture.
• Proven ability to translate business needs into practical engineering solutions.
• Experience using AI coding assistants like Claude Code or GitHub Copilot in a modern workflow.

🎁 Benefits

• Competitive CAD $80,000–$90,000 annually, depending on location, experience, and performance.
• Fully remote work opportunity for Canada-based professionals.
• Occasional travel to New York City.
• Career and professional development opportunities.
• Health, dental, and vision insurance.
• Pre-tax savings plans and transit/parking programs.