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Principal Research Data Engineer 

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. Requires Master’s in Information Science, C.S., Data Science, Data Analytics, or closely related field and 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; and using QGIS, ArcGIS & Postgis to ingest and process geospatial data in Avro, CSVs, and GeoJSON. Telecommuting permitted from anywhere in the U.S. Salary Range:  Employees can expect to be paid a salary between $142,000.00 to $185,000.00.  Additional compensation may include a bonus or commission (if relevant).  Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc. The offered salary may vary within this range based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.  Mail resume to Jill Martin, Bayer Research and Development Services LLC, 800 N. Lindbergh Blvd., E2NE, St. Louis, MO 63167 or email resume to careers_ us@bayer.com.  Include reference code below with resume.