ZipRecruiter

Log In

1

Shapely Jobs in Virginia (NOW HIRING)

Vantor

Applied Geospatial ML Engineer

Herndon, VA · On-site

... shapely) or equivalent • Experience with a designing and implementing a wide variety of geospatial trajectory processing, analysis (e.g., forecasting), and visualization approaches • Ability to ...

BlackSky

Staff Engineer, AI

Herndon, VA · On-site

... Shapely, xarray, or Zarr. • Experience with modern ML infrastructure, including cloud services (e.g., AWS), containerization and orchestration platforms (e.g., Kubernetes), and the ability to adapt ...

GRVTY

Data Scientist, Senior

Chantilly, VA · On-site +1

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 ...

BlackSky

Staff Engineer, AI

Herndon, VA · On-site

... Shapely, xarray, or Zarr. • Experience with modern ML infrastructure, including cloud services (e.g., AWS), containerization and orchestration platforms (e.g., Kubernetes), and the ability to adapt ...

Vantor

Senior Geospatial Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

... Shapely, Fiona, Rasterio, GDAL, QGIS, or similar geospatial tools and libraries. • Experience building repeatable data pipelines for geospatial data ingestion, processing, validation, and ...

BlackSky

Staff Engineer, AI

Herndon, VA · On-site

Hands-on experience with geospatial tools such as GDAL, Rasterio, GeoPandas, Shapely, xarray, or Zarr. * Experience with modern ML infrastructure, including cloud services (e.g., AWS ...

GRVTY

Data Scientist, Senior

Chantilly, VA · On-site

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 ...

next page

Showing results 1-20

All JobsShapely JobsShapely Jobs in Virginia

Shapely information

What are some common challenges faced by software engineers working on the Shapely library, and how can job seekers prepare for them?

Software engineers contributing to the Shapely library often encounter challenges related to geometric algorithms, spatial data precision, and cross-platform compatibility. Debugging complex geometry issues and ensuring robust handling of edge cases require a solid understanding of computational geometry and Python development. Collaboration with GIS professionals and open-source contributors is also a key part of the role, so strong communication skills and experience with open-source workflows are valuable. Familiarity with related libraries like GEOS and understanding spatial data formats can help job seekers excel.

What is a Shapely job?

Shapely jobs typically refer to roles that involve working with the Shapely library, a popular Python package used for manipulation and analysis of planar geometric objects. Professionals in these positions often use Shapely for tasks in geographic information systems (GIS), spatial data analysis, and mapping. Job responsibilities may include developing geospatial applications, processing and analyzing spatial data, and integrating Shapely with other Python libraries such as GeoPandas. These roles are commonly found in industries like urban planning, environmental science, and data analytics. Having strong Python skills and experience with spatial data is usually required.

What are the key skills and qualifications needed to thrive as a Shapely web developer?

To thrive as a Shapely web developer, you need proficiency in web development languages such as HTML, CSS, JavaScript, and familiarity with WordPress, alongside experience with responsive design principles. Knowledge of the Shapely WordPress theme, page builders, plugins, and version control systems like Git is typically required. Strong problem-solving abilities, attention to detail, and effective communication help developers efficiently address client needs and collaborate with teams. These skills ensure the development of attractive, functional, and user-friendly websites that meet client specifications.

What is the difference between Shapely vs GIS Analyst?

AspectShapelyGIS Analyst
Required CredentialsBasic programming knowledge, Python skillsBachelor's degree in Geography, GIS, or related field
Work EnvironmentProgramming, data analysis, scriptingMapping, spatial data analysis, report creation
Industry UsageUsed in GIS software development and data processingApplied in urban planning, environmental management, and more
Common Search IntentData manipulation, spatial analysis in PythonGIS data analysis, mapping projects

Shapely is a Python library for geometric operations and spatial data manipulation, often used by developers and data analysts. GIS Analysts perform broader spatial data analysis, mapping, and reporting within GIS software. While Shapely focuses on geometric calculations, GIS Analysts handle comprehensive spatial projects. Both roles overlap in spatial data handling but differ in scope and tools used.

What are popular job titles related to Shapely jobs in Virginia? For Shapely jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Shapely jobs in Virginia look for? The top searched job categories for Shapely jobs in Virginia are:
What cities in Virginia are hiring for Shapely jobs? Cities in Virginia with the most Shapely job openings:
Shapely jobs near you
Infographic showing various Shapely job openings in Virginia as of July 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution.

Data Scientist Senior-Level 117-001

IC-CAP LLC

Springfield, VA • On-site

Full-time

Re-posted 20 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.

Apply