Job Url: https://www.remoterocketship.com/company/nv5/jobs/python-developer-geospatial-united-states-remote

Job Description: 
NV5
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NV5 is a leading provider of technology, conformity assessment, and consulting solutions for public and private sector clients supporting infrastructure, utility, and building assets and systems. The Company primarily focuses on six business verticals: conformity assessment, infrastructure support services, utility services, buildings & technology, environmental health sciences, and geospatial services.

Utility Services • Infrastructure Engineering • Testing, Inspection & Consulting • Geotechnical • Environmental


1001 - 5000 employees


Founded 1947

Python Developer - Geospatial
11 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🔙 Backend Engineer

JavaScript

Keras

Numpy

Open Source

Pandas

Python

PyTorch

Scikit-Learn

Tensorflow

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📋 Description
• Create new and update existing scripts or tools to make workflows more efficient or for new requirements with minimal assistance.
• Applies and supports best practices, like style guidelines, version control systems, etc.
• Ability to troubleshoot complex solutions for a wide array of geospatial applications.
• Provide a broad range of technical problem-solving skills.
• Apply software development lifecycle methodology to ensure quality solutions are designed, developed and delivered.
• Act as the technical liaison in discussions with Project Managers, Product Owners, and other teams, presenting complex information clearly and ensuring that technical requirements are understood and integrated into the project plans.
• Attend standup meetings and anticipate and address any issues or blockers that might impede team performance or project timelines.

🎯 Requirements
• Bachelor’s degree in Computer Science, Mathematics, Geographic Information Sciences (GIS) or a related field of study, or equivalent work experience.
• 2+ experience with Python
• 2-4 years of professional developer experience
• Experience using open source Python libraries to automate steps in geospatial processing workflows.
• Familiarity or experience in some of following: OGR, GDAL, Fiona, Rasterio, Shapely, scikit-learn, NumPy, SciPy, TensorFlow, PyTorch, Keras, OpenCV, Dask, Matplotlib, Bokeh, pandas, GeoPandas, Laspy.
• Experience with GitHub and Jira.
• Experience using ArcPy.
• Basic understanding of distributed processing environments.

🏖️ Benefits
• medical
• dental
• life insurance
• PTO
• 401(k)
• professional development/advancement opportunities