Data Platform Engineer Reflow

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.