Forecasting Research Institute (FRI)
Data Engineer | REMOTE
hn · REMOTE
Jose is an exceptionally strong technical fit with deep Python, SQL, cloud data infrastructure (Trino, S3, Postgres, Elasticsearch), and proven ability to build and own ELT/data pipelines end-to-end at scale. His experience at International Public Safety Data Institute building custom warehouses for 27,000+ data sources and his work at Rubercubic designing scalable data platforms demonstrate exactly the kind of dimensional modeling and pipeline architecture FRI needs. The primary gaps are lack of explicit dbt/Airflow/Dagster experience and no demonstrated interest in forecasting or research domains, though his founding-engineer track record suggests he'd quickly master orchestration tools.
Hook: Your experience building production data warehouses and ETL pipelines for high-scale, mission-critical systems positions you perfectly to own FRI's forecasting data infrastructure from day one.
Missing: dbt, Airflow or Dagster, forecasting domain knowledge, research background
Posting
Forecasting Research Institute (FRI) | Data Engineer | REMOTE | Full-time 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