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Roles
Compensation
USD 75000 - 130000
$75k–$130k depending on experience; 30 days PTO; health insurance contribution; 3 team retreats/year
- Salary period
- yearly
- Location basis
- location
Benefits
- 30 days PTO
- Health insurance contribution
- 3 team retreats/year
Tech stack
Required
Nice to have
Location
Remote
Work setup
- Employment
- full-time
- Level
- Mid-level
- Remote policy
- 100% Remote (worldwide) / Remote (global)
- Remote scope
- worldwide
- Timezones
- 11am and 3pm ET
- Travel
- regular team retreats (currently three times per year)
- Visa
- may be able to sponsor US work visas
Role details
Responsibilities
- Build ELT pipelines from survey platforms and external sources into a cloud warehouse
- Maintain a dimensional model
- Collaborate with analysts
- Oversee orchestration and monitoring
- Managing data quality, access controls, and documentation so that a team of about 10 analysts can reliably query and use the data
- Supporting infrastructure for LLM-based research (e.g., serving data for AI forecasting benchmarks like ForecastBench)
- Building and maintaining data pipelines that ingest data from multiple sources (survey platforms, metadata stores, external datasets) into a cloud data warehouse
- Designing and evolving a dimensional data model (staging, dimension, fact, and mart layers) that standardizes forecasting data across FRI’s projects
- Setting up orchestration, monitoring, and alerting for production data pipelines
Requirements
- Solid Python + ETL/ELT
- Strong SQL
- Dimensional modeling experience
- Cloud warehouse experience
- Passionate about FRI’s mission of improving decision-making on high-stakes issues
- Strong Python skills and experience building data pipelines (ETL/ELT)
- Proficient in SQL and dimensional data modeling (star schema, staging/dimension/fact layers)
- Experience with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift)
- Clear, explicit communicator, both in writing and verbally
- Ability to work productively in a self-directed (remote) environment
Application
Apply at https://forecastingresearch.org/careers/data-engineer. Hiring process: short work test → paid 10-hour test → a few interviews.
- Portfolio
- not required
- GitHub
- not required
- Cover letter
- not required
- Apply flow
- ats
- Canonical URL
- https://forecastingresearch.org/careers/data-engineer
Company context
- Product
- Forecasting research on high-stakes problems (AI progress, biosecurity, nuclear risk)
- Industry
- Nonprofit research
- Size
- ~20-person
Description
Forecasting Research Institute (FRI) is a ~20-person nonprofit doing forecasting research on high-stakes problems, including AI progress, biosecurity, and nuclear risk. FRI is hiring its first dedicated data engineer to begin working alongside an external vendor extending an existing warehouse, then take full ownership. Responsibilities include building ELT pipelines from survey platforms and external sources into a cloud warehouse, maintaining a dimensional model, collaborating with analysts, and overseeing orchestration and monitoring. Requirements include solid Python + ETL/ELT, strong SQL and dimensional modeling, and cloud warehouse experience. Nice to have: dbt/Airflow/Dagster, prior SWE work, interest in forecasting. Conditions include 100% remote (worldwide/global), 30 days PTO, health insurance contribution, $75k–$130k depending on experience, and 3 team retreats/year. Hiring process: short work test → paid 10-hour test → a few interviews. Apply at https://forecastingresearch.org/careers/data-engineer.
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