Geospatial Data Engineer
Oak Ridge, TN, US, 37830
USD 130K-175K (estimate) Senior-level Full Time
Tasks
- Conduct code reviews and ensure analytical defensibility
- Create QA QC routines for geospatial datasets
- Develop geospatial data science pipelines
- Develop geospatial validation frameworks for model outputs
- Implement agentic AI workflows for data discovery and preparation
- Maintain data product documentation and metadata
- Operationalize geospatial pipelines for ingestion feature engineering training inference evaluation delivery
- Perform raster and vector data preparation and validation
- Support model and data readiness reviews
Perks/Benefits
- 401k retirement plan
- Dental insurance
- Disability benefits
- Educational assistance
- Employee assistance plan
- Employee discounts
- Flexible work hours
- Generous vacation and holidays
- Life insurance
- Medical insurance
- Parental leave
- Relocation assistance
- Vision insurance
- Wellness programs
Skills/Tech-stack
Airflow | Automation | CI/CD | CRS Management | Classification | Clustering | Dask | Data Quality | Data quality assurance | Docker | Experiment Management | Experiment tracking | Geopandas | Git | Linux | MLOps | MLflow | Machine Learning | Model Evaluation | Model Registry | NumPy | Pandas | PostGIS | PyProj) | Python | Quality Assurance | Raster processing | Rasterio | Regression | Scikit-learn | Shapely | Spark | Spatial joins | Statistical modeling | Vector Processing
Education
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