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Geopandas Jobs in Silver Spring, MD (NOW HIRING)

Exposure to geospatial data and tools (ArcGIS, QGIS, GeoPandas). Familiarity with machine learning frameworks and model deployment. Experience operating within SAFe or Agile delivery frameworks ...

GIS Consultant

Reston, VA · On-site

$80K - $110K/yr

Proven experience scripting in Python (e.g., ArcPy, GeoPandas) to automate spatial and non-spatial data processes. * Skilled at communicating complex geospatial and data concepts in a clear ...

GIS Consultant

Arlington, VA · On-site

$80K - $110K/yr

Proven experience scripting in Python (e.g., ArcPy, GeoPandas) to automate spatial and non-spatial data processes. * Skilled at communicating complex geospatial and data concepts in a clear ...

GeoPandas * Experience with Geographic Information Systems (GIS), including ArcGIS Pro, ArcGIS Enterprise, or QGIS. * Experience with satellite imagery, remote sensing, GEOINT, or commercial ...

Experience with geospatial Python libraries such as GeoPandas, Shapely, Rasterio, or GDAL. * Familiarity with NGA data systems, GEOINT product formats, or IC data standards. * Experience deploying ...

Data Scientist

Alexandria, VA · On-site

$120 - $160/hr

Experience with Python geospatial data analysis tools such as GeoPandas * Knowledge and experience with intelligence, collection management, targeting, Geospatial and/or imagery analysis.

Showing results 21-40

Geopandas information

What is GeoPandas?

GeoPandas is an open-source Python library that makes working with geospatial data in Python easier. It extends the popular pandas library to allow spatial operations on geometric types, such as points, lines, and polygons. GeoPandas enables users to perform spatial joins, plot geographic data, and read or write different geographic file formats like Shapefiles and GeoJSON. This library is widely used in fields such as geography, urban planning, and data science for geospatial analysis.

What are the key skills and qualifications needed to thrive as a geopandas data analyst?

To excel as a Geopandas Data Analyst, you need a solid background in geospatial analysis, Python programming, and data visualization, often supported by a degree in geography, GIS, or data science. Familiarity with Geopandas, Jupyter Notebooks, QGIS, and spatial databases is typically required. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex spatial data and present insights clearly. These competencies are crucial for transforming geographic data into actionable information for decision-makers.

What are some common challenges faced when working with large geospatial datasets in a geopandas role?

When working with large geospatial datasets in a GeoPandas-focused role, a common challenge is managing performance and memory usage. GeoPandas is built on top of pandas and shapely, which can struggle with very large or complex geospatial files, leading to slow processing times or even memory errors. Professionals in this role often address these issues by optimizing workflows, using spatial indexing, or integrating GeoPandas with other tools like Dask or PostGIS to handle scalability. Staying up to date with best practices and understanding the limitations of the GeoPandas ecosystem is crucial for efficiently managing large-scale spatial data projects.

What is the difference between Geopandas vs QGIS Developer?

AspectGeopandasQGIS Developer
Required credentialsPython programming, GIS knowledgeGIS certifications, programming skills
Work environmentPython scripts, data analysisDesktop GIS applications, custom plugin development
Employer and industry usageData analysis firms, research institutionsGIS consulting, environmental agencies
Common search and comparison intentData processing, spatial analysisMap creation, GIS application development

Geopandas is primarily used for spatial data analysis and manipulation within Python, ideal for data scientists and analysts. QGIS Developers focus on creating and customizing GIS applications using QGIS software. While both roles involve GIS, Geopandas emphasizes scripting and data analysis, whereas QGIS Developers work on application development and interface customization.

What are popular job titles related to Geopandas jobs in Silver Spring, MD?

For Geopandas jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Geopandas jobs in Silver Spring, MD look for?

The top searched job categories for Geopandas jobs in Silver Spring, MD are:

Data Scientist - Mid

CACI

Sterling, VA

$69K - $141K/yr

Full-time

Medical, Retirement, PTO

Posted 6 days ago


Key responsibilities

  • Develop analytic models and data processing workflows against structured and unstructured datasets.

  • Build visualizations and dashboards for exploratory and comparative analysis.

  • Support integration of analytic capabilities into program systems alongside development teams.


Job description

Job Title: Data Scientist - Mid Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Continental US Anticipated Posting End: 12/31/2026 The Opportunity: Apply data science and analytics to real mission problems for the National Geospatial-Intelligence Agency (NGA). Join a collaborative team turning large, complex geospatial datasets into insights analysts can act on. Work with modern Python-based tooling in an Agile, mission-focused delivery environment.

Grow your skills alongside senior data scientists, engineers, and mission stakeholders. Responsibilities: Develop analytic models and data processing workflows against structured and unstructured datasets. Clean, filter, transform, and enrich data to support exploratory and production analytics.

Build visualizations and dashboards for exploratory and comparative analysis. Support integration of analytic capabilities into program systems alongside development teams. Collaborate with analysts and Product Owners to refine analytic requirements into working solutions.

Document methodologies, assumptions, and model behavior. Participate in Agile ceremonies and deliver within sprint and PI commitments. Qualifications: Required: Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (equivalent experience accepted).

4+ years of data science or analytics experience. Proficiency in Python (or R) and SQL for data manipulation and analysis. Experience applying statistical analysis, classification, regression, or clustering techniques.

Experience with data visualization tools (matplotlib, Tableau, or similar). Security Clearance (TS/SCI) with willingness to undergo polygraph examination. Desired: Exposure to geospatial data and tools (ArcGIS, QGIS, GeoPandas).

Familiarity with machine learning frameworks and model deployment. Experience operating within SAFe or Agile delivery frameworks. - What You Can Expect: A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives.

We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

Since this position can be worked in more than one location, the range shown is the national average for the position. The proposed salary range for this position is: $69,100-$141,500 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.