EarthDefine is seeking a GeoSpatial Data Engineer who is equal parts geospatial analyst, data scientist and Python hacker. The successful candidate will build solutions for developing new geospatial products, solve GIS problems and provide GIS support to internal teams.
Who you are
You are someone who brings a good mix of programming, data science, and geospatial skills. You are excited by the prospect of learning and implementing new algorithms to improve classification workflows. Your geospatial and coding kung-fu is strong and you enjoy building new skills. You’ll be right at home here if you are organized, cultivate strong relationships, and push yourself and your team to the next level. We expect our Data Engineer to:
· Embrace technology: You have a proven ability to quickly learn and use new technologies.
· Be organized and detail oriented: You will help plan and successfully deliver projects on time and within budget. You are excellent at prioritization, follow-through, and time management.
· Be a natural problem-solver: You anticipate challenges and opportunities within your work as it relates to our team and EarthDefine’s goals and priorities, and quickly generate creative solutions to meet our evolving needs.
· Be collaborative. We want to hear your opinions. You will support the growth of your colleagues and help them create better solutions. You have great interpersonal, oral and written communication skills.
· Thrive on change and ambiguity: You can fully embrace a fast-moving organization. You have a strong sense of urgency. Deadlines, changing priorities and new projects don’t scare you. Instead, they inspire you to rise to the occasion.
· Be willing to step up to the plate. You’re eager to contribute and learn, willing to provide solutions before we even know there are issues. You are resourceful and acquire skills independently.
· Develop data workflows leveraging best-in-class machine learning algorithms to classify ground cover from remote sensed imagery and Lidar.
· Write maintainable Python code for spatial data processing. Troubleshoot and improve the existing codebase.
· Research, identify and consolidate geospatial data from multiple sources for input into classification workflows (imagery, Lidar, demographic data, road networks etc.).
· Develop algorithms and software (e.g. ArcMap AddIns, scripts, tools etc.) to process geospatial data.
· Learning new geospatial platforms, programming languages, tools as needed.
· Research new approaches to address geospatial data development challenges.
· Manage small and large image classification projects.
· Provide training and support to other team members.
· Understand and deliver on client expectations of our products and services.
What We Are Looking For
· MS/PhD in GIS/Remote Sensing/Data Science disciplines with strong analytical skills and 2+ years of hands-on experience working intimately with geospatial data.
· Proficiency with Python.
· Experience with machine learning, data science, and deep learning.
· Experience implementing machine learning models in common ML frameworks (TensorFlow, Torch, Theano, etc.)
· Experience working with multispectral imagery and Lidar data.
· Experience with object-based image classification and spatial modeling.
· Familiarity with open source geospatial libraries (GDAL, OGR, OTB etc.).
· Familiarity with scientific computing libraries like numpy, scipy, sklearn, pandas etc.
· Strong technical aptitude, including the ability to quickly and efficiently learn applications, systems, policies, and procedures.
· Proven ability to lead and manage multiple projects.
· Strong organizational, interpersonal, and communication skills.
· A good sense of humor and comfort with ambiguity.
Before You Apply
Applicants must be currently authorized to work in the United States without the need for additional visa sponsorship.
EarthDefine is a growing mapping company transforming vast amounts of earth sensor data into consumable geospatial information products. We have mapped millions of acres of high-resolution land cover and tree data across the United States and continue to grow this unique data archive. We have embraced big data challenges by building a unique technology platform capable of integrating large volumes of imagery, vector, and point cloud datasets. To learn more about us, please visit #.
Role: GeoSpatial Data Engineer
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