Design scalable data warehouses and ETL pipelines for Reflow, a workforce and workflow intelligence platform. Part-time or full-time arrangements are available.

As a data platform engineer, you will build systems supporting analytics, workflow insights, and economic modeling. You will work with SQL, data modeling, cloud-based data operations, and ingestion frameworks. The work includes systems that make Reflow data usable, quick, and insightful.

Key Responsibilities:

- Design and maintain scalable data warehouses
- Develop ETL pipelines from APIs and internal systems
- Model datasets for analytics and product features
- Build dashboards using Metabase, Tableau, or Power BI
- Implement event-based pipelines for real-time reporting

Requirements:

- Experience with warehouse architecture and analytics infrastructure
- Strong SQL and data modeling skills
- Hands-on ETL and data ingestion experience
- Understanding of cost, scalability, and complexity tradeoffs
- Curiosity about data-driven insights and automation

Build Reflow’s intelligence layer through scalable warehouses, optimized pipelines, reliable data, and analytics-focused engineering.

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📌 Data Platform Engineer Reflow (Toronto)
🏢 Reflow
📍 Toronto