Data Engineer
Python Data Engineer- | NY/CHI/TX/US Remote
A leading global trading firm is expanding its Weather team and hiring a Python Data Engineer to build and scale data pipelines that directly support forecasting and trading.
Responsibilities
- Design and maintain scalable Python-based data pipelines.
- Build and optimize ETL workflows for large, complex datasets.
- Collaborate with researchers and quants to deliver high-quality data.
- Implement validation, monitoring, and error handling.
- Work across cloud-based infrastructure and modern data warehouses.
Requirements
- 3+ years in data engineering or related role.
- Strong Python (Pandas, NumPy, FastAPI).
- Experience with weather/climate data (Copernicus, Xarray, Zarr, NetCDF).
- Proficiency with ETL frameworks (Airflow, NiFi, etc.) and SQL.
- Cloud experience (AWS, GCP, Azure).
- Bonus: Docker/Kubernetes, Spark, or commodities exposure (Ags, Nat Gas, Power).
📍 US-based | Remote
📅 Start: Immediate
If you’re interested, reach out in confidence for more details.