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Shapely Jobs (NOW HIRING)

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 ...

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

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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 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.

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:
Infographic showing various Shapely job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution.

$116K - $157K/yr

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Job description

MUST HAVE SKILLS (Most Important):
Bachelor's degree in computer science, Engineering, or related field.
We are seeking a skilled Python Developer with expertise in PostgreSQL database management, spatial data handling, and multiprocessing solutions.
- Proven experience (8 years) in Python development, with a focus on data processing and analysis of spatial data.
- Strong proficiency in PostgreSQL database management, including schema design, query optimization, and performance tuning.
- Experience working with spatial data formats (e.g., GeoJSON, Shapefiles) and libraries (e.g., GeoPandas, Shapely).
- Familiarity with multiprocessing techniques and libraries (e.g., multiprocessing, concurrent. futures) for parallel processing.
- Excellent problem-solving skills and ability to work effectively in a fast-paced, collaborative environment.
- Strong communication skills and ability to articulate technical concepts to non-technical stakeholders.
Responsibilities:
- Design, develop, and maintain Python-based applications and tools for spatial data analysis and visualization.
- Implement and optimize PostgreSQL database schemas, queries, and performance tuning for spatial data management.
- Develop multiprocessing solutions to enhance data processing efficiency and scalability.
- Collaborate with cross-functional teams to understand requirements and deliver robust, scalable solutions.
- Stay updated on industry trends and emerging technologies in spatial data analysis, Python development, and database management.