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Geopandas Python Jobs in New York (NOW HIRING)

Stantec

Transportation Analyst (Modeling)

Manhattan, NY · On-site

$85.40K - $119.60K/yr

Automate data processing and analysis workflows using Python, SQL, and Excel. * Collaborate with ... Familiarity with GIS tools such as ArcGIS, QGIS, or GeoPandas. * Understanding of travel demand ...

Stantec

Transportation Analyst (Modeling)

Manhattan, NY · On-site

$85.40K - $119.60K/yr

Experience with data analysis using Python, R, SQL, or MATLAB. * Experience with transportation ... Familiarity with GIS tools such as ArcGIS, QGIS, or GeoPandas. * Understanding of travel demand ...

Oxman

Computational Ecologist

New York, NY · On-site

$152K - $241K/yr

Strong programming skills in languages such as Python, C++, or similar, with experience in ... GeoPandas/rasterio/GDAL) and spatial databases (e.g., PostGIS) for integrating environmental and ...

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Geopandas Python information

What are the key skills and qualifications needed to thrive as a Geopandas Python Developer, and why are they important?

To thrive as a Geopandas Python Developer, you need a solid foundation in Python programming, geospatial data analysis, and GIS concepts, often backed by a degree in computer science or geography. Familiarity with Geopandas, Shapely, Fiona, and other geospatial libraries, as well as experience with spatial databases and data visualization tools, is typically required. Strong problem-solving skills, attention to detail, and effective communication help you deliver robust geospatial solutions and collaborate with team members. These skills are critical for accurately processing spatial data, generating valuable insights, and supporting data-driven decision-making in various industries.

What are some common challenges Geopandas Python developers face when working with large geospatial datasets?

Geopandas Python developers often encounter performance limitations when processing very large geospatial datasets, as Geopandas is built on top of Pandas and can be memory-intensive. Handling operations like spatial joins, dissolves, or aggregations on millions of features may lead to slowdowns or memory errors. To address these challenges, developers frequently use techniques such as chunking data, leveraging Dask for parallel computing, or integrating with more scalable libraries like PostGIS or PyGEOS. Collaborating closely with data engineers and GIS specialists can also help optimize workflows and ensure efficient data processing.

What is GeoPandas in Python?

GeoPandas is an open-source Python library that simplifies working with geospatial data. It extends the popular Pandas library to enable spatial operations on geometric types, such as points, lines, and polygons. With GeoPandas, users can easily read, write, and manipulate geographic data formats like Shapefile, GeoJSON, and others. It integrates well with other libraries, such as Matplotlib for visualization and Shapely for advanced geometric operations, making it a powerful tool for geographic data analysis in Python.

What is the difference between Geopandas Python vs GIS Analyst?

AspectGeopandas PythonGIS Analyst
Required CredentialsPython programming, GIS fundamentalsGIS certifications, degree in geography or related field
Work EnvironmentData analysis, scripting, codingMap creation, spatial data management, report generation
Industry UsageData science, software development, geospatial analysisUrban planning, environmental management, government agencies

Geopandas Python focuses on spatial data analysis using Python programming, ideal for data scientists and developers. GIS Analysts work with spatial data in various industries, often using GIS software and tools. While both roles involve geospatial data, Geopandas Python emphasizes coding and automation, whereas GIS Analysts focus on data management and visualization.

What are popular job titles related to Geopandas Python jobs in New York? For Geopandas Python jobs in New York, the most frequently searched job titles are:
What job categories do people searching Geopandas Python jobs in New York look for? The top searched job categories for Geopandas Python jobs in New York are:
What cities in New York are hiring for Geopandas Python jobs? Cities in New York with the most Geopandas Python job openings:
Geopandas Python jobs near you

Senior Software Developer (C++/Python, Geospatial)

Futran Tech Solutions Pvt. Ltd.

Bedminster, NJ • On-site

$55.50 - $73.50/hr

Full-time

Posted 2 days ago

Job description

Role: Senior Software Developer (C++/Python, Geospatial)
Location: Bedminster, NJ, New Jersey, US (5 days per week in the office)
Project Description:
This project will leverage huge data sets for extraction, pipelining and ETL focused on geospatial and vector type data sets. USGS type data will be used to develop target data sets using complex methods of manipulation. The position will require critical thinking beyond just core development. The right candidate will have a research mindset and ability to solution with minimal guidance and direction. The project requires a knowledge of distributed and parallel computing with ability to coordinate across multiple systems.
Responsibilities:
The responsibilities will include data processing (geospatial) and work on point cloud data sets. The developer will use Python for data processing and C++ libraries for development (i.e. data infrastructure). Requires critical thinking, solutioning problems and communicating effectively.
Mandatory Skills Description:
Navigation > Open Geospatial Consortium (OGC) formats (3D Tiles, MVT, WCS, WFS, WMS, WMTS), Python, Pandas, Navigation > GeoPandas, C++, Point Cloud, AWS Data Pipeline, Parallel Programming, Navigation > Geospatial Data Abstraction Library (GDAL), Navigation > Raster formats (ESRI Grid, GeoTIFF, JPEG 2000, NITF), VECTOR
Nice-to-Have Skills:
researcher mentality, critical thinking, out of box solutioning.
Steps of screening that will be held by client:
• 45 minute screening
• 3-4 hour block of technical interview
• 2-3 programming exercises
o Matrix computations
o Graph search
o Optimization on dynamic programming - most difficult

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