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, fast, 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.
Data Platform Engineer Reflow in Toronto employer: reflow
At Reflow, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Lead Full Stack Developer, you'll have the unique opportunity to work closely with our founders and early team, shaping the future of our intelligence-driven platform while enjoying competitive compensation and a flexible work environment. We are committed to your professional growth, offering you the chance to influence product architecture and development practices in a high-trust, high-impact setting.
