Principal Research Data Engineer

Principal Research Data Engineer

Principal Research Data Engineer for St. Louis, MO to oversee the development and implementation of research data pipelines for producing data layers and storing research data.

Responsibilities include:

• Implementing and maintaining scalable data-intensive processing pipelines that apply geospatial data to ML/DL models.
• Architecting, building and launching new data models to provide intuitive analytics to business users.
• Developing infrastructure to inform on key metrics, recommend changes and predict future results.
• Developing POCs for new pipelines for integration into science data pipeline through collaboration with diverse research partners.

Required:

• Master’s degree in Information Science, C.S., Data Science, Data Analytics, or a closely related field.
• At least 5 years of experience designing, developing, testing, and implementing scalable geospatial data integration pipelines that include statistical yield analysis and interactive report and visualization generation.
• Experience working with raster and vector geospatial datasets applied to machine learning model generation and deployment in a big data environment.
• Proficiency in packaging and 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.
• Experience with Google Cloud Platform, Google Cloud Functions, Google Big Query, and Data Proc to process data at scale and deliver robust data pipelines.
• Familiarity with Avro, Parquet, CSV, GeoTIFF, and GeoJSON file formats.
• Programming in SQL and conducting query optimization and online analytical processing on RDBMS and No
  
  SQL databases.
• Experience using QGIS, ArcGIS, and PostGIS to ingest and process geospatial data in Avro, CSV, and GeoJSON.

Salary Range: $ to $. Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, paid time off, sick leave, and other benefits.

Telecommuting permitted from anywhere in the U.S.

St. Louis, MO, United States.

Bayer is an Equal Opportunity Employer. Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s). Bayer is an E-Verify employer.

Mail resume to Jill Martin, Bayer Research and Development Services LLC, 800 N. Lindbergh Blvd., E2NE, St. Louis, MO 63167, or email resume to  Include reference code 864075 with your resume.