About the role
Reflow is hiring a Full-Stack Data Platform Engineer to build and operate the systems behind its workforce and workflow intelligence platform. The role centers on a scalable data warehouse, ingestion from APIs and internal systems, and datasets that support analytics and product features. You would also build dashboards and visualization tools for internal and external insights.
The work spans pipeline performance, event-based reporting, reliability, cloud cost efficiency, and data governance. You would collaborate with founders and engineers across analytics, infrastructure, and product, balancing technical choices with how teams use the resulting insights. Reflow is open to part-time or full-time arrangements. Compensation is described as market-based and dependent on experience, skills, and location, with no specific salary range stated.
Highlights
- Design and maintain a scalable data warehouse.
- Build ETL and event-based analytics pipelines.
- Model data and create dashboards for product and business insights.
- Address reliability, performance, cost, privacy, and governance.
This recap is dataskew's editorial summary, not the company's copy.