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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
- Visa
- May be able to sponsor US work visas
- Authorization
- Must have pre-existing work authorization for their country of residency
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
- Supporting infrastructure for LLM-based research
- Building and maintaining data pipelines that ingest data from multiple sources into a cloud data warehouse
- Designing and evolving a dimensional data model
- Setting up orchestration, monitoring, and alerting for production data pipelines
Requirements
- Solid Python and ETL/ELT experience
- Strong SQL
- Dimensional modeling experience
- Cloud warehouse experience
Application
Apply at https://forecastingresearch.org/careers/data-engineer. Hiring process: short work test → paid 10-hour test → a few interviews.
- Portfolio
- unclear
- GitHub
- unclear
- Cover letter
- unclear
- Apply flow
- external
- Canonical URL
- https://forecastingresearch.org/careers/data-engineer
Company context
Forecasting research on high-stakes problems, including AI progress, biosecurity, and nuclear risk.
- Product
- Forecasting research on high-stakes problems (including AI progress, biosecurity, and nuclear risk)
- Industry
- Forecasting research nonprofit
- Size
- ~20-person
- Open source
- unclear
Description
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
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