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Geopandas Python Jobs in Virginia (NOW HIRING)

Vantor

Senior Geospatial Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

... capabilities, using Python to process and analyze large datasets while managing geospatial ... GeoPandas, Shapely, Fiona, Rasterio, GDAL, QGIS, or similar geospatial tools and libraries. • ...

Whitespace

Experience using geospatial Python libraries such as: GeoPandas * Experience with Geographic Information Systems (GIS), including ArcGIS Pro, ArcGIS Enterprise, or QGIS. * Experience with satellite ...

GeoDelphi

Software Engineer

Alexandria, VA · Remote

Experience using geospatial Python libraries such as: GeoPandas * Experience with Geographic Information Systems (GIS), including ArcGIS Pro, ArcGIS Enterprise, or QGIS. * Experience with satellite ...

GeoDelphi

Software Engineer

Alexandria, VA · Remote

Experience using geospatial Python libraries such as: GeoPandas * Experience with Geographic Information Systems (GIS), including ArcGIS Pro, ArcGIS Enterprise, or QGIS. * Experience with satellite ...

ECS

Senior Data Scientist

Springfield, VA · On-site

Python with GeoPandas/ArcPy, ArcObjects, GIScience techniques. • Full-stack development capabilities: JavaScript/HTML5, .NET, C++, Java. • Database technologies: Oracle, SQL, PostgreSQL ...

Vantor

Applied Geospatial ML Engineer

Herndon, VA · On-site

... Python data science stack (e.g., numpy, pandas, matplotlib, sklearn) and geospatial libraries (e.g., gdal, geopandas, shapely) or equivalent • Experience with a designing and implementing a wide ...

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Geopandas Python information

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 are GeoPandas used for in Python?

GeoPandas is a Python library used by geospatial data analysts and GIS professionals to simplify working with geographic data. It extends the pandas library to include spatial operations, enabling users to read, write, analyze, and visualize geospatial data such as shapefiles and GeoJSON files efficiently.

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 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.

Which Python job is in demand?

Python development roles, such as data analyst, data scientist, backend developer, and automation engineer, are currently in high demand across various industries. Skills in libraries like Pandas, NumPy, and frameworks such as Django or Flask increase employability, and certifications can enhance job prospects in this competitive field.

How to work with GeoPandas?

Working with GeoPandas involves importing the library in Python, loading spatial data using functions like read_file(), and performing geospatial operations such as plotting, spatial joins, and data manipulation. Familiarity with pandas and shapely enhances the ability to analyze and visualize geographic data effectively.
What are popular job titles related to Geopandas Python jobs in Virginia? For Geopandas Python jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Geopandas Python jobs in Virginia look for? The top searched job categories for Geopandas Python jobs in Virginia are:
What cities in Virginia are hiring for Geopandas Python jobs? Cities in Virginia with the most Geopandas Python job openings:
Geopandas Python jobs near you
Data Scientist Senior-Level 117-001

Data Scientist Senior-Level 117-001

IC-CAP LLC

Springfield, VA • On-site

Full-time

Posted 28 days ago

Job description

Senior Data Scientistsupports NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned. Refine, enhance and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle. Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government. Enhance technical solutions to problems related to intelligence integration, automated collections, tipping and cueing, information sharing, and visualization. Conduct extensive collections and analytic modeling, data processing, and data mining. Conduct gap analysis on existing technologies and processes. Provide communication to customers on the progress of projects, processes, and emerging technologies as they become available. Clearly communicate data-driven findings and automation to technical and non-technical audiences. Design, integrate, and maintain Bayesian Belief Network (BBN) processes that utilize automation tools or scripts to drive predictive, activity-based automated collection. Conduct customer elicitation to identify processing problems due to procedures, tools, and services; work arounds that may need a permanent solution; and gaps in tools and technology. Train and integrate new tools, processes, and capabilities to be used in collection orchestration. Provide support for emerging requirements as assigned by the Government.
Education and Experience
Required:
  • Bachelors degree and 7+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining with Python and SQL
  • 7+ years of experience with statistical and general-purpose programming languages for data analysis
  • Experience with code repositories such as GitLab
  • Experience with Python geospatial packages such as GeoPandas and Shapely
  • Ability to independently complete technical projects with little to no oversight

Desired:
  • Masters degree and 5+ years of experience with Python for data analysis
  • Experience with Grafana, Databricks, or JEMA
  • Experience with HTML, JavaScript, and CSS
  • Experience with Syntasa
  • Experience analyzing geospatially enabled data and deploying AI tools into operational software
  • Knowledge of GEOINT collection and associated systems
  • Ability to learn new technologies and adapt to dynamic mission needs

Security Clearance:
  • Active TS/SCI and the willingness to sit for a polygraph, if needed

IC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status.

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