9 geospatial python jobs at 4 companies in Philadelphia, PA
🚀PromotedHiringCafe
Founding Backend / Infra Engineer
Cupertino, CA, US
$160k-$300k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Own the crawlers, pipelines, and infrastructure powering a real-time job search engine. Strong Node.js and Python fundamentals; bonus points for security and reverse-engineering chops.
Software Engineer - Federal Geospatial (Hub-Remote: DC or Philly Metro)
Alexandria or Philadelphia or Washington
$105k-$141k/yrRemoteFull Time
Element 84: Builds cloud-native geospatial software and data processing pipelines.
5+ YOE5+ years as a software engineer; experience with Python, JavaScript, Clojure, React, AWS (S3, IAM, Lambda); full-stack development, automated testing/CI, Scrum experience; bachelor's in a technical major preferred; must live within 100 miles of Alexandria, VA or Philadelphia, PA and be authorized to work in the US without sponsorship.
Python, JavaScript, Clojure, React, Amazon Web Services (AWS), S3, IAM, Lambda, node.js, JIRA, Confluence, Bamboo, MacOS X
Treeswift: Provides AI-augmented vegetation management and asset monitoring for utilities.
4+ YOEBachelor's in CS/CE/Math, 4+ years full-stack experience, proficiency with Python, TypeScript, React; experience with AWS, WebGL, user auth, CI/CD and geospatial/imagery data a plus.
Python, TypeScript, React, AWS, WebGL, CI/CD, LiDAR, User Auth
Postdoctoral Research Associate in Multimodal AI and Computational Modeling for Scalable Disaster Monitoring and Resilience
Bethlehem, Pennsylvania, United States
OnsiteFull Time, Temporary
Lehigh University: Private research university providing undergraduate and graduate education.
Doctorate required; strong background in machine learning, deep learning, computer vision or geospatial AI; experience with disaster/catastrophe/resilience modeling; proficiency in Python and PyTorch or TensorFlow; publication record and strong communication.
SageSure: Provides property insurance for catastrophe-exposed residential and commercial properties.
5+ YOEAdvanced degree in a quantitative field; 5+ years catastrophe modeling; Python, R, SQL; GIS; experience with RMS/Verisk/AIR; strong communication.
Sargent & Lundy: Engineering and consulting services for the power industry.
1+ YOEBS or MS in engineering, 1+ year electric utility distribution experience, knowledge of distribution design and codes (NESC, NEC, ANSI, IEEE), experience with AutoCAD/ArcGIS/PoleForeman and familiarity with GIS; programming (Python, MATLAB, Excel) valued.
AutoCAD, ArcGIS, PoleForeman, GIS, GWD, Python, MATLAB, Microsoft Excel
Sargent & Lundy: Engineering and consulting services for the power industry.
1+ YOEBS/MS in engineering, 1+ year electric utility distribution experience, knowledge of distribution design methods and codes (NESC, NEC, ANSI, IEEE), and experience with AutoCAD, ArcGIS, PoleForeman; programming (Python, MATLAB, Microsoft Excel) valued.
AutoCAD, ArcGIS, PoleForeman, GIS, Python, MATLAB, Microsoft Excel, AI
Sargent & Lundy: Engineering and consulting services for the power industry.
1+ YOEBS or MS in engineering, 1+ years electric utility distribution experience, knowledge of distribution design and codes (NESC, NEC, ANSI, IEEE), familiarity with AutoCAD/ArcGIS/PoleForeman, strong communication; Python/MATLAB/advanced Microsoft Excel valued.
AutoCAD, ArcGIS, PoleForeman, GIS, Python, MATLAB, Microsoft Excel
SageSure: Provides property insurance for catastrophe-exposed residential and commercial properties.
5+ YOESenior catastrophe risk analyst with advanced degree, 5+ years in catastrophe modeling or related field; strong coding (Python/SQL), GIS, and data analysis; experience with third-party models (RMS/Verisk/AIR); excellent communication and cross-functional collaboration.
Python, R, SQL, GIS, QGIS, ArcGIS, RMS, Verisk, AIR
SageSure: Provides property insurance for catastrophe-exposed residential and commercial properties.
3+ YOEAdvanced degree in a quantitative field; 3–5 years in catastrophe modeling or related analytics; proficiency with modeling platforms; strong coding and data analysis skills; GIS familiarity; ability to explain complex results.