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Shapely Jobs (NOW HIRING)

System Soft Technologies

Geocode Engineer

Python (h3, shapely, geopandas, pyproj) * Understanding of hierarchical spatial indexing * Strong geospatial fundamentals (CRS, projections, distortion) * Experience with spatial SQL - PostgreSQL or ...

Gormat

Data Scientist 4

Annapolis Junction, MD · On-site

Data visualization capabilities with Plotly, Shapely, or GeoPandas, AMOD tool proficiency and an understanding of dataflow, and Splunk, Kibana, SQL, ELK stack, or Networking experience is a plus ...

Pronto

Robotics Planning Engineer

San Francisco, CA · On-site

$119K - $161K/yr

Knowledge of GEOS, Shapely or other computational geometry libraries * Experience with fleet management or dispatch systems * Familiarity with Redis, ZeroMQ, or similar infrastructure * Familiarity ...

Gormat

Data Scientist 4

Annapolis Junction, MD · On-site

$174K - $189K/yr

Data visualization capabilities with Plotly, Shapely, or GeoPandas, AMOD tool proficiency and an understanding of dataflow, and Splunk, Kibana, SQL, ELK stack, or Networking experience is a plus ...

iNovex Information Systems

Data Scientist 4

Annapolis, MD · On-site

$211K - $266K/yr

Data visualization capabilities with Plotly, Shapely, or GeoPandas, AMOD tool proficiency and an understanding of dataflow, and Splunk, Kibana, SQL, ELK stack, or Networking experience is a plus ...

Gormat

Data Scientist 4

Annapolis Junction, MD · On-site

$174K - $189K/yr

Data visualization capabilities with Plotly, Shapely, or GeoPandas, AMOD tool proficiency and an understanding of dataflow, and Splunk, Kibana, SQL, ELK stack, or Networking experience is a plus ...

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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 are Shapely jobs?

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, and why are they important?

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.

More about Shapely jobs
What cities are hiring for Shapely jobs? Cities with the most Shapely job openings:
What states have the most Shapely jobs? States with the most job openings for Shapely jobs include:
What job categories do people searching Shapely jobs look for? The top searched job categories for Shapely jobs are:
Shapely jobs near you
Infographic showing various Shapely job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution.
Geocode Engineer

Geocode Engineer

System Soft Technologies

Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Geospatial Engineer (2 developers)
Primary Responsibility: Design, build, and operate the Geo-spatial solution consisting of large applications with focus on analysis like geocoding, point in polygon, nearest neighbor, grid framework (hexagonal or projected grids) that converts geocoded latitude/longitude data into stable, scalable grid IDs.
Key Responsibilities:
  • Implement hexagonal hierarchical grids (e.g., H3) or custom projected grids
  • Convert high-precision geocodes (6-decimal lat/lon) into grid IDs
  • Manage grid resolution strategy (micro → territory → state)
  • Building spatial joins for policies, claims, and hazard layers
  • Generate grid polygons for visualization and QA
  • Optimize spatial operations for scale (millions of points)

Required Skills:
  • Open-Source technologies like Geo-server, QGIS
  • ESRI ArcGIS, ArcGIS Pro, MapInfo
  • Python (h3, shapely, geopandas, pyproj)
  • Understanding of hierarchical spatial indexing
  • Strong geospatial fundamentals (CRS, projections, distortion)
  • Experience with spatial SQL - PostgreSQL or BigQuery GIS, PostGIS, Snowflake GIS

Apply