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Principal Research Data Engineer

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: Merck & Co.
Full Time position
Listed on 2026-06-19
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 142000 - 185000 USD Yearly USD 142000.00 185000.00 YEAR
Job Description & How to Apply Below
Location: St. Louis

Principal Research Data Engineer

Oversee the design, development, testing, and implementation of research data pipelines for producing data layers and storing research data. Develop and maintain scalable, data-intensive processing pipelines that apply geospatial data to machine learning and deep learning models. Architect, build, and launch new data models to provide intuitive analytics to business users. Develop infrastructure to inform on key metrics, recommend changes, and predict future results.

Develop proof‑of‑concepts for new pipelines for integration into the science data pipeline through collaboration with diverse research partners.

Responsibilities
  • Design, develop, test, and implement scalable geospatial data integration pipelines.
  • Build and maintain data pipelines that process raster and vector geospatial datasets for machine learning model generation and deployment.
  • Package and deploy models and data pipelines using CI/CD practices (Python, Conda, Docker, Airflow, Git).
  • Utilize Google Cloud Platform services (Cloud Functions, Big Query, Data Proc) to process data at scale.
  • Work with data formats such as Avro, Parquet, CSV, Geotiff, and GeoJSON.
  • Write and optimize SQL queries; perform online analytical processing on RDBMS and No‑SQL databases.
  • Ingest and process geospatial data using QGIS, ArcGIS, and PostGIS.
Qualifications
  • Master’s degree in Information Science, Computer Science, Data Science, Data Analytics, or a closely related field.
  • 5+ years of experience designing, developing, testing, and implementing scalable geospatial data integration pipelines.
  • Proficiency with Python, Conda, Docker, Airflow, Git, and CI/CD workflows.
  • Experience with Google Cloud Platform, including Cloud Functions, Big Query, and Data Proc.
  • Strong knowledge of geospatial data formats and tools (Avro, Parquet, CSV, Geotiff, GeoJSON, QGIS, ArcGIS, PostGIS).
  • Experience with SQL and query optimization in relational and No‑SQL databases.
  • Ability to build proof‑of‑concepts and collaborate with cross‑functional research partners.
Benefits
  • Competitive salary range of $142,000 – $185,000 per year.
  • Potential bonus or commission.
  • Health care, vision, and dental coverage.
  • Retirement plan.
  • Paid time off (PTO) and sick leave.
Location & Work Arrangement

St. Louis, Missouri (telecommuting permitted from anywhere in the United States).

Job Reference

Reference Code: 864075

Equal Opportunity Employer

Bayer is an Equal Opportunity Employer. Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities. Bayer is an E‑Verify Employer.

Application Contact

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