Principal Research Data Engineer
Bayer•St. Louis, MO
•$142,000 - $185,000•Remote
About The Position
Principal Research Data Engineer for St. Louis, MO to oversee the development & implementation of research data pipelines for producing data layers and storing research data; implement & maintain scalable data-intensive processing pipelines that apply geospatial to ML/DL models; architect, build & launch new data models to provide intuitive analytics to business users; develop infrastructure to inform on key metrics, recommend changes & predict future results; develop POCs for new pipelines for integration into science data pipeline through collaboration with diverse research partners.
Requirements
- Master’s in Information Science, C.S., Data Science, Data Analytics, or closely related field
- 5 years of experience designing, developing, testing, and implementing scalable geospatial data integration pipelines that encompass statistical yield analysis and interactive report and visualization generation
- Working with raster & vector geospatial datasets applied to machine learning model generation and deployment in big data environment
- Packaging & deploying models and data pipelines using CI/CD practices, including production readiness and performance tuning activities using Python and/or Conda, Docker, Airflow, and Git CI/CD
- Using Google Cloud Platform, Google Cloud Functions, Google Big Query, and Data Proc to process data at scale and deliver robust data pipelines
- Using Avro, Parquet, CSVs, Geotiff and GeoJSON file formats
- Programming in SQL
- Conducting query optimization & Online Analytical Processing on RDBMS and No-SQL databases
- Using QGIS, ArcGIS & Postgis to ingest and process geospatial data in Avro, CSVs, and GeoJSON
Responsibilities
- Oversee the development & implementation of research data pipelines for producing data layers and storing research data
- Implement & maintain scalable data-intensive processing pipelines that apply geospatial to ML/DL models
- Architect, build & launch new data models to provide intuitive analytics to business users
- Develop infrastructure to inform on key metrics, recommend changes & predict future results
- Develop POCs for new pipelines for integration into science data pipeline through collaboration with diverse research partners
Benefits
- health care
- vision
- dental
- retirement
- PTO
- sick leave
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What This Job Offers
Job Type
Full-time
Career Level
Principal
