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Shapely Jobs (NOW HIRING)

... g., Plotly, Shapely, GeoPandas, Kibana, Elastic, SQL, Jupyter) - Experience with ETL workflows, batch/incremental data ingestion, and robust error handling - Ability to automate analytic and ...

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 ...

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Senior Forward Deployed Engineer

OR · Remote

$104K - $143K/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 ...

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 ...

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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:
Programmer - Junior to Mid-Level

Programmer - Junior to Mid-Level

Wood Plc

Chantilly, VA

Other

Posted 10 days ago


Job description

Overview / Responsibilities

Wood's Water Tech team is seeking a skilled programmer for a variety of projects in the water resources domain. Write code to help federal, state, and local clients tackle real-world environment & infrastructure issues like climate change resiliency and flood risk. This position will involve geographic information systems (GIS), web application development, and data science.

Key Responsibilities:

  • Design and develop core software libraries and key applications used by civil engineers and GIS analysts. Collaborate with engineers and analysts to build applications and workflows.
  • Build and deploy GIS-centric web applications to cloud environments.
  • Document software libraries and end-user products.
  • Test applications and implement bug fixes.
  • Perform sophisticated spatial data analyses, create visualizations, and prepare technical memos and reports.

Growth Possibilities:

Wood is a large global company, so there are lots of opportunities to grow and expand across different areas of the business. The company is seeking to expand its capabilities at the intersection of civil infrastructure and technology.

Skills / Qualifications

Required:

  • Background in computer science, engineering, GIS, or related field.
  • 2+ years Python web application or API development experience (Django, Flask, FastAPI, or similar)
  • 2+ years frontend web development experience (JavaScript, HTML/CSS, frameworks such as React, Angular, Vue, etc.)
  • Relational database experience, esp. PostgreSQL, PostGIS.
  • Excellent technical writing and communication skills.
  • Self-starter with a strong desire to continuously learn new technologies and techniques.
  • Must pass drug test, background check, and have a satisfactory driving record in accordance with the Company's driving (MVR) policy.

Preferred:

  • Experience with the Python data science ecosystem (Jupyter, Anaconda, NumPy, Pandas, Xarray, Dask, etc.)
  • Experience with major open-source GIS libraries and tools (GDAL/OGR, Rasterio, Shapely, Fiona)
  • Familiarity with common desktop GIS environments (QGIS, ArcGIS Pro, ArcGIS Desktop, ArcPy)
  • Experience with web mapping libraries (Leaflet, MapboxGL, Maplibre, etc.)
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

Location: Chantilly, Virginia; Bluebell, Pennsylvania; Remote with a focus on the US East Region

Company Overview

Wood is a global leader in engineering and consultancy across energy and the built environment, helping to unlock solutions to some of the world's most critical challenges. We provide consulting, projects and operations solutions in more than 60 countries, employing around 40,000 people. www.woodplc.com

Diversity Statement

We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.

Employment Type: OTHER