Reflow · Europe; Latin America; Canada
Reflow is hiring a data platform engineer to design, implement, and maintain a scalable data warehouse and ETL pipelines that ingest data from APIs and internal systems. The role also covers dataset modeling, event-based real-time pipelines, and dashboards in Metabase, Tableau, or Power BI. The posting names BigQuery, Snowflake, Redshift, SQL, and Python (bonus).
We’re building Reflow, a workforce and workflow intelligence platform that helps teams deeply understand how work gets done. As we scale, the data we collect is becoming richer and more complex. We need a data platform engineer to help us design and operate the systems that turn that data into intelligence — powering analytics, workflow insights, and economic modeling.
You’ll build the backbone of Reflow’s intelligence layer, the systems that make our data usable, fast, and insightful. You’ll work directly with founders and engineers across analytics, infrastructure, and product. This is a high-impact technical role that sits at the intersection of scale, performance, and strategy.
We’re open to part or full-time. Ideal for builders who care about performance and precision at scale.
We offer competitive pay based on the market and where you’re located. The salary ranges in our job postings are intentionally wide because they need to cover both U.S. and international candidates. Our final offer will depend on things like your experience, skill set, and location.