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Shapely Jobs (NOW HIRING)

Senior Forward Deployed Engineer

$107K - $146K/yr

Experience with geospatial software development and concepts (e.g., Rasterio, Fiona, Shapely, OpenLayers, GDAL). * AWS or GCP experience. * Proficiency in Python. * Excellent knowledge of software ...

... Shapely. Understanding of web languages such as JavaScript is beneficial. As a GIS Consultant, you will operate within the Data and Technology Services (DTS) market sector of RESPEC. This role is ...

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 ...

... Shapely. Understanding of web languages such as JavaScript is beneficial. As a GIS Consultant, you will operate within the Data and Technology Services (DTS) market sector of RESPEC. This role is ...

Sr. Data Scientist

Indianapolis, IN · On-site

$80 - $88/hr

Strong proficiency in Python for geospatial data analysis and modeling (GeoPandas, Shapely, Fiona, Rasterio, or similar) * Deep experience with PostgreSQL and PostGIS for spatial querying and data ...

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 ...

Network Strategist- GIS

Dallas, TX · Remote

$60 - $85/hr

... Shapely, or similar Solid SQL skills for querying and analyzing large relational datasets Hands-on experience with GIS platforms (e.g., ArcGIS, QGIS, PostGIS) Experience working with spatial datasets ...

... Shapely. Understanding of web languages such as JavaScript is beneficial. As a GIS Consultant, you will operate within the Data and Technology Services (DTS) market sector of RESPEC. This role is ...

... Shapely. Understanding of web languages such as JavaScript is beneficial. As a GIS Consultant, you will operate within the Data and Technology Services (DTS) market sector of RESPEC. This role is ...

Showing results 41-60

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.

AI Developer - Model Creation & Full Stack

Electronic Consulting Services, Inc (ECS Federal)

Fairfax, VA • On-site

$130K - $145K/yr

Other

Posted 9 days ago


Job description

Job Description
Everforth ECS is seeking an AI Developer to work remotely .
Everforth ECS is seeking a highly skilledAI Developerwith expertise inmachine learning model creationandfull-stack application development. The ideal candidate will be excited to join an organization that is heavily investing in AI. This role requires the need to build high performance Python-based AI/ML solutions capable of processing extremely large data sets and integrating them into scalable web applications, including LLMs. This role also requires strong problem-solving skills, a deep understanding of AI frameworks, and the ability to work across the entire technology stack.
Key Responsibilities:
  • AI/ML Model Development
  • Design, build, fine tune and train machine learning and deep learning models using Python.
  • Perform data preprocessing, feature engineering, and model optimization.
  • Evaluate models using domain appropriate metrics and improve performance iteratively.
  • Deploy custom models to production environments (cloud/on-premises) using MLOps best practices.
  • Full-Stack Development
  • Develop high throughput, event-driven microservices (RESTful APIs, GraphQL) for application backends and MCP servers to serve AI models.
  • Build responsive and user-friendly front-end interfaces for AI-powered applications.
  • Integrate AI models into web and mobile applications.
  • Ensure scalability, security, and performance of deployed solutions.
  • Collaboration & Documentation
  • Work closely with data scientists, developers, frontend developers, and product managers.
  • Document model architectures, APIs, and deployment processes.
  • Participate in code reviews and maintain high coding standards.
Salary Range: $130,000 - $145,000
General Description of Benefits
Required Skills
  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
  • Candidates must be able to obtain a USPS Public Trust Clearance. This requires ship or Permanent Resident Status (), and the ability to pass a stringent background check.
  • 3+ years of experience in AI/ML development and full-stack application building.
  • Programming:Strong proficiency in Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, Transformers).
  • Full Stack:Experience with backend frameworks (Django, Flask, FastAPI) and frontend frameworks (React, Angular, or Vue.js).
  • Databases:Knowledge of SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis), Oracle 19c, Azure Databricks
  • Experience with databricks
  • DevOps & Deployment:Familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, Google Cloud Platform).
  • General knowledge of Geospatial technology
  • Version Control:Proficiency with GitHub workflows.
  • Mathematics & AI Concepts:Strong understanding of statistics, linear algebra, and machine learning algorithms.
  • Knowledge ofdata visualizationtools (Matplotlib, Plotly, D3.js).
  • Familiarity withmicroservices architecture.
  • Prior experience inAI product developmentfrom concept to deployment.

Desired Skills
  • Languages:Python, JavaScript/TypeScript
  • AI/ML:TensorFlow, PyTorch, scikit-learn
  • Backend:FastAPI, Flask, Django, ESRI ArcGIS tool, Geopandas/Paneas, Shapely. Asynchronous programming (aiohttp, asyncio)
  • Frontend:React.js, Next.js
  • Cloud:AWS Bedrock, Google Cloud Platform AI Platform, Azure ML
  • Tools:Docker, Kubernetes, GitHub Actions
#EverforthECS1
ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.
Everforth ECS is the federal segment of Everforth , a $4B global organization with over 10,000 employees . Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.
Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.
We value:
  • Attracting and developing top talent and high-performing teams
  • Fostering a culture that is engaging, accountable, and mission-driven

Meet the challenge. Make a difference with Everforth ECS!