Geospatial Engineer

Cambridge, MA
Expand Job Description
Geospatial Engineer 
Cambridge, MA
Comprehensive Salary and Relocation Package Offered
 
Geospatial Engineer will join a team that works closely with crop scientists, data scientists, bioinformaticians, and quantitative geneticists to solve problems at the intersection of breeding, gene editing and agronomy.  You will help us develop and scale our computational/data science, data processing, storage and overall software platforms. 
 
Geospatial Engineer Responsibilities:
  • Develop applications that operate on GIS and/or spatial data.
  • Work with breeders and scientists to develop tools to enable our crops team to make decisions.  
  • Build APIs to make data, models and general system functionality accessible to data scientists for model development and analytics
  • Partner with data scientists, plant breeders and agronomists to develop, scale and manage machine learning models and their pipelines.
  • Develop and productionalize data pipelines or other custom applications that integrate with and extend our breeding, phenotyping, field trial analytics, and overall agronomic data platforms to process spatial and environmental data sets.   
  • Develop robust integrations with strategic third party tools, platforms and models.
  • Contribute to design and roadmap for overall computational platform.
  • Collaborate x-functionally with data scientists, agronomists, breeders, crop product managers, and software engineering team at large to continuously improve and scale our ability to generate, process, and analyze data and conduct cutting-edge research.
 
Geospatial Engineer Requirements:
  • Minimum of a Bachelor’s degree in Computer Science or a related field. 
  • Experience with working with GIS/spatial datasets and interested in developing applications that are data-driven.
  • Significant experience with professional software engineering, including automated testing, agile methodologies, pair programming, refactoring, relational databases, and microservices.
  • Experience building computational pipelines for front-end products.
  • Extensive experience extracting, modeling, and manipulating data: sql / nosql.
  • Extensive experience with object oriented programming: Python, Go, Scala, or Java.
  • Ability to work in a fast-paced, x-functional environment and handle ambiguity gracefully.
 
Geospatial Engineer Preferred Qualifications:
  • Experience with AWS tools, DevOps, infrastructure-as-code, containerization, and Kubernetes.   
  • Experience working with agricultural, remote sensing, weather, or other data which is spatial & temporal in nature; experience with crop modeling or environmental simulation.
  • Experience with clustering algorithms, soil and weather data.  
  • Experience with simulation, predictive, machine learning models.

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