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Geopandas Python Jobs (NOW HIRING)

Data Scientist - Mid

Denver, CO · On-site

$69K - $141K/yr

Work with modern Python-based tooling in an Agile, mission-focused delivery environment. * Grow ... Exposure to geospatial data and tools (ArcGIS, QGIS, GeoPandas). Familiarity with machine learning ...

Demonstrated experience with relevant Python libraries including Pandas and Geopandas. * Advanced experience using Python to automate complex workflows and integrate with cloud services. * Proven ...

Demonstrated experience with relevant Python libraries including Pandas and Geopandas. * Advanced experience using Python to automate complex workflows and integrate with cloud services. * Proven ...

Demonstrated experience with relevant Python libraries including Pandas and Geopandas. * Advanced experience using Python to automate complex workflows and integrate with cloud services. * Proven ...

Network Strategist- GIS

Dallas, TX · Remote

$60 - $85/hr

... in Python, including libraries such as GeoPandas, Pandas, Shapely, or similar Solid SQL skills for querying and analyzing large relational datasets Hands-on experience with GIS platforms (e.g ...

... in Python for data analysis, automation, and workflow development - Experience with data ... Shapely, GeoPandas, Kibana, Elastic, SQL, Jupyter) - Experience with ETL workflows, batch ...

Network Strategist- GIS

Dallas, TX · Remote

$60 - $85/hr

... in Python, including libraries such as GeoPandas, Pandas, Shapely, or similar Solid SQL skills for querying and analyzing large relational datasets Hands-on experience with GIS platforms (e.g ...

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Geopandas Python information

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How much do geopandas python jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for geopandas python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as a Geopandas Python developer?

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.
More about Geopandas Python jobs
What cities are hiring for Geopandas Python jobs? Cities with the most Geopandas Python job openings:
What states have the most Geopandas Python jobs? States with the most job openings for Geopandas Python jobs include:
Infographic showing various Geopandas Python job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

$69K - $141K/yr

Full-time

Medical, Retirement, PTO

Posted 25 days ago


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: 9/1/2026
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.