We're a ~20-person nonprofit doing forecasting research on high-stakes problems, including AI progress, biosecurity, and nuclear risk. We have dozens of active projects that generate forecasting data from surveys, expert panels, and AI systems.
We're looking for our first dedicated data engineer. You'd start alongside an external vendor extending an existing warehouse, then take full ownership. Concretely, the work would involve building ELT pipelines from survey platforms and external sources into a cloud warehouse, maintaining a dimensional model, collaborating with analysts, and overseeing orchestration & monitoring.
You have solid Python + ETL/ELT, strong SQL and dimensional modeling, cloud warehouse experience. Nice to have: dbt/Airflow/Dagster, prior SWE work, interest in forecasting. Apply even if you don't tick every box!
Conditions:
- 100% Remote (worldwide) / Remote (global)
- 30 days PTO, health insurance contribution
- $75k–$130k, depending on experience
- 3 team retreats/year
Hiring process: short work test → paid 10-hour test → a few interviews.
Apply at https://forecastingresearch.org/careers/data-engineer