Actively Hiring

Inaccurate forecasting leads to disaster. No single weather model wins everywhere

Growing fast
Showed strong hiring growth in the past month

Growing fast
Showed strong hiring growth in the past month

Data Engineer

$30k – $80k • No equity
|Remote (
Canada
+3) •
California
+3
|4 years of exp
|Full Time

Posted: today• Recruiter recently active

Job Location

California •

Pennsylvania •

Texas •

Aguascalientes

Remote Work Policy

Onsite or remote

Hires remotely in

Canada -

Mexico -

United States -

United Kingdom

Visa Sponsorship

Not Available

Preferred Timezones

Hawaii, Alaska, Pacific Time, Mountain Time, Central Time, Eastern Time, Atlantic Time, Greenland, Brasilia Summer Time

Collaboration Hours

8:00 AM - 8:00 PM Eastern Time

RelocationNot Allowed

Skills

Python

HTML5 & CSS3

React Native

About the job

Build the pipelines that feed the models: ERA5, NOAA GFS/GEFS, radar and the AI model outputs, landing on time, every time. Nothing improves until this exists.
What you'll do

Build and run ingest pipelines for ERA5 (Copernicus), GFS/GEFS (NOAA) and ECMWF open data
Design how forecast data is stored (Zarr on object storage) so it is cheap to keep and fast to read
Handle GRIB2 decoding, partial or late model runs, and backfills without anyone babysitting them
Bring NEXRAD radar into a near-real-time path for rain nowcasting

What we look for

Production experience with large datasets and scheduled pipelines, where a silent failure is a real outage
Python, object storage (S3 or similar), and a workflow scheduler such as Airflow or Prefect
Experience with scientific formats (NetCDF, GRIB, Zarr) is a strong plus, but not required
Instinct for where the cost sits — storage, compute and data transfer

https://www.ensemblegains.com/careers/data-engineer