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Geopandas Python Jobs in Ashburn, VA (NOW HIRING)

... Python and modern ML/CV libraries such as PyTorch or TensorFlow. • Experience researching ... as GDAL, Rasterio, GeoPandas, Shapely, xarray, or Zarr. • Experience with modern ML ...

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 ...

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 ...

... Python and modern ML/CV libraries such as PyTorch or TensorFlow. • Experience researching ... as GDAL, Rasterio, GeoPandas, Shapely, xarray, or Zarr. • Experience with modern ML ...

Strong proficiency in Python and modern ML/CV libraries such as PyTorch or TensorFlow. * Experience ... Hands-on experience with geospatial tools such as GDAL, Rasterio, GeoPandas, Shapely, xarray, or ...

Strong proficiency in Python and modern ML/CV libraries such as PyTorch or TensorFlow. * Experience ... Hands-on experience with geospatial tools such as GDAL, Rasterio, GeoPandas, Shapely, xarray, or ...

Proficiency with the 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 ...

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Geopandas Python information

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How much do geopandas python jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for geopandas python in Ashburn, VA is $59.95, according to ZipRecruiter salary data. Most workers in this role earn between $49.42 and $68.08 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.
What are popular job titles related to Geopandas Python jobs in Ashburn, VA? For Geopandas Python jobs in Ashburn, VA, the most frequently searched job titles are:
What job categories do people searching Geopandas Python jobs in Ashburn, VA look for? The top searched job categories for Geopandas Python jobs in Ashburn, VA are:

Sr. AI/ML Engineer - Active TS (SCI and CI/Poly Eligible)

Vibrint

Springfield, VA • On-site

$109K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

Vibrint is a trusted provider of mission-critical systems and analysis that transform our customers' capacity and capability in harvesting and harnessing data. Working alongside many of the most talented professionals in public service, we work tirelessly to create and sustain new solutions and services that meet the stringent demands across a variety of customer missions.
Our people know they will be doing work that matters at the heart of the national security mission, exploring new possibilities at the cutting edge of technology. They know they will be well-rewarded and recognized for their commitment. Our people know they will enjoy plentiful opportunities to grow, thrive, and have fun as a member of the Vibrint family. Join Vibrint, where your career is a priority, and your future is our shared goal.
We are seeking an innovative GIS Automation / AI Subject Matter Expert (SME) to support the Government Program Management Office (GPMO) and senior Agency leadership in advancing geospatial automation and GeoAI capabilities. This SME acts as a high-impact force multiplier, identifying opportunities to reduce manual workloads, accelerate production timelines, and introduce advanced analytics that enhance mission effectiveness.
Given its limited allocation, this role focuses on targeted, high-value solutions, not routine sustainment. Responsibilities include developing Python or FME-based ETL pipelines for automated ingestion, cleaning, transformation, and scheduled processing of geospatial data. The SME will also research, prototype, and deploy machine-learning and GeoAI models, including object detection, feature extraction, and predictive analytics tailored to mission use cases.
The Automation/AI SME identifies workflow bottlenecks and designs streamlined automation tools, assists developers with complex spatial algorithms such as routing, suitability modeling, classification, or spatial optimization, and advises the architect and GPMO on emerging AI frameworks, libraries, and best practices.
This position is hands-on, working directly with customers and Senior Leadership to demonstrate new technologies, produce proofs of concept, and guide the adoption of advanced automation and AI methods across the enterprise. Key deliverables include automated ETL scripts, trained GeoAI models, workflow documentation, and prototypes supporting innovation for Source Leadership.
Required Skills:
  • 5+ years of experience in GIS automation, geospatial analysis, machine learning, or GeoAI development.
  • Proficient in Python, including common geospatial and ML libraries (ArcPy, GeoPandas, PyTorch, TensorFlow, Scikit-learn, Rasterio).
  • Experience building FME workbenches for ETL automation, data transformation, and scheduled workflows.
  • Demonstrated ability to design and automate geospatial workflows, including data ingestion, cleaning, processing, and validation.
  • Experience prototyping and training machine-learning models, including object detection, classification, clustering, or predictive analytics.
  • Understanding of complex spatial concepts (e.g., topology, routing, suitability modeling, projections, network analysis).
  • Ability to produce clear workflow documentation, proofs of concept, and demos for technical and non-technical audiences.
  • Active TS/SCI and ability to obtain/maintain CI Poly.

Desired Skills:
  • Experience supporting NSG/ASG, IC, or DoD GEOINT missions.
  • Familiarity with ArcGIS Enterprise, ModelBuilder, OGC services, and integration of automated scripts into enterprise GIS systems.
  • Experience developing containerized ML models or deploying GeoAI capabilities in cloud environments (AWS preferred).
  • Knowledge of MLOps, automated model retraining pipelines, or data versioning for ML workflows.
  • Experience applying AI to imagery, 3D data, LiDAR, feature extraction, or multi-sensor analytics.
  • Esri, FME, or AI/ML-related certifications.

Qualifications:
  • Automation & Scripting Expertise: Proven ability to design, build, and optimize automated geospatial workflows using Python, FME, or equivalent tools, reducing manual processing and improving production timelines.
  • GeoAI & Machine-Learning Proficiency: Demonstrated experience developing prototypes and operational models for object detection, classification, predictive analytics, and other AI-driven mission capabilities.
  • Spatial Algorithm & Optimization Skills: Ability to translate advanced spatial concepts into workable logic for developers, including routing, suitability modeling, and spatial optimization.
  • Innovation & Leadership Engagement: Experience working directly with customers and senior leaders, producing proofs of concept, presenting emerging technologies, and guiding enterprise adoption of AI and automation.
  • Active Top Secret Clearance (SCI and CI/Poly Eligible).

Vibrint's comprehensive compensation package includes but is not limited to: competitive salary; annual merit-based salary increases and discretionary bonus program; 401(k) plan with a company contribution; 11 paid federal holidays; 160 hours of paid time off; medical, dental, vision, life and short- & long-term disability insurance; employee assistance program; and a generous professional development allowance.
Equal Opportunity Employer:
All applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, citizenship, family structure, marital status, disability, veteran or military status, or any other characteristic protected by law in all phases of the employment process and in compliance with applicable federal, state, and local laws and regulations.
An equal opportunity employer/disability/vet. .
Please apply for immediate consideration.