Staff Engineer - Data & Geospatial Pipelines (Remote)

Bayer CropScience Limited

St. Louis (MO)

Remote

USD 190,000 - 225,000

Full time

3 days ago
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Benefits offered by this job

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Job summary

Staff Engineer at Bayer in St. Louis, MO, will collect, process, transform, and analyze agronomic and geospatial data, designing data processing pipelines for mobile, web, and third-party integrations. The role involves building scalable data-intensive systems and microservices, and mentoring junior engineers.

Telecommuting from a U.S. home office is permitted; up to 25% travel may be required. Candidates should have a Bachelor's in CS/IT or related field and at least 3 years in agronomic data

Qualifications

  • Bachelor's degree in CS/IT or closely-related field required.
  • 3+ years of experience in agronomic, agriscience or crop science data environments preferred.
  • Experience designing REST and GraphQL APIs; strong software development in Java, Clojure, Scala, Python.

Responsibilities

  • Collect, process, transform, and analyze agronomic & geospatial data.
  • Design and implement data processing pipelines for mobile, web, and third-party integrations.
  • Build scalable data-intensive software systems and microservice-based services.
  • Support design & code review processes; mentor & train junior engineers.

Skills

Java
Clojure
Scala
Python
REST API
GraphQL
Azure
AWS
BigQuery
GCP
MRMS
AHPS
PRISM
GHCN
ERA5
GitHub Copilot
Data pipelines

Education

Bachelor's degree in CS/IT or closely-related field

Tools

Azure
AWS
GCP
MRMS
AHPS
PRISM
GHCN
ERA5
BigQuery
GitHub Copilot

Job description

Staff Engineer at Bayer in St. Louis, MO, will collect, process, transform, and analyze agronomic and geospatial data, designing data processing pipelines for mobile, web, and third-party integrations. The role involves building scalable data-intensive systems and microservices, and mentoring junior engineers.

Telecommuting from a U.S. home office is permitted; up to 25% travel may be required. Candidates should have a Bachelor's in CS/IT or related field and at least 3 years in agronomic data

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