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.

Reflow gives operations teams real-time visibility into how work actually flows, so they can identify what to optimize and automate what matters. It shows leaders where work slows down across teams and systems and what's driving cost and friction.
Teams can get up and running in a day and start seeing where work breaks or drifts, without a heavy setup process.
From there, Reflow surfaces the highest-impact opportunities for optimization and automation, so prioritization isn't guesswork. As changes roll out, teams can track whether they reduced cost, improved speed and quality, or lowered risk, and measure ROI over time.