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Apprentice Gis Web Developer Jobs in Maryland (NOW HIRING)

Cushman & Wakefield

Union Maintenance Assistant

Baltimore, MD · On-site

$16.25 - $20.25/hr

... by the engineers, including loading, unloading, and moving materials and running errands for ... web-based applications, building automation systems, etc. • Complete all required C&W Safety ...

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Apprentice Gis Web Developer information

What is the difference between Apprentice Gis Web Developer vs GIS Technician?

AspectApprentice Gis Web DeveloperGIS Technician
Required CredentialsBasic coding skills, some certifications in GIS or web developmentGIS certifications, technical diploma or associate degree
Work EnvironmentOffice setting, collaborative with developers and GIS specialistsFieldwork and office, data collection and analysis
Industry UsageWeb development projects involving GIS dataMapping, data management, spatial analysis

The Apprentice Gis Web Developer focuses on learning web development skills related to GIS, often working on coding and web projects. In contrast, a GIS Technician handles spatial data management and analysis. Both roles require GIS knowledge, but the Apprentice Gis Web Developer emphasizes web programming, making it ideal for those interested in combining GIS with web technologies.

What typical projects might an apprentice GIS web developer work on, and how do they contribute to the team?

As an Apprentice GIS Web Developer, you’ll often assist with projects like building interactive web maps, integrating geospatial data into web applications, and supporting the development of spatial analysis tools. Your tasks may include writing code under supervision, troubleshooting data display issues, and collaborating with senior developers and GIS analysts to deliver user-friendly mapping solutions. These projects help you build technical skills while directly contributing to the team’s ability to deliver accurate, functional GIS products to clients or stakeholders.

What are the key skills and qualifications needed to thrive as an apprentice GIS web developer, and why are they important?

To thrive as an Apprentice GIS Web Developer, you need a foundational understanding of web development (HTML, CSS, JavaScript) and geographic information systems (GIS), often supported by relevant coursework or certifications. Familiarity with GIS software (such as ArcGIS or QGIS), web mapping libraries (like Leaflet or OpenLayers), and basic programming skills is typically required. Strong problem-solving abilities, eagerness to learn, and effective communication skills help apprentices collaborate and quickly adapt to new technologies. These skills and qualities are crucial for developing accurate, user-friendly GIS web applications and for building a successful career in this evolving field.

What is an apprentice GIS web developer?

An Apprentice GIS Web Developer is an entry-level professional who assists in designing, developing, and maintaining web applications that utilize Geographic Information Systems (GIS) technology. They typically work under the supervision of experienced developers, learning to integrate spatial data, create interactive maps, and implement geospatial functionalities on the web. The apprenticeship provides hands-on experience with programming languages, web frameworks, and GIS tools while building foundational skills for a career in geospatial web development.

What are the most commonly searched types of Gis Web Developer jobs in Maryland?

The most popular types of Gis Web Developer jobs in Maryland are:

What cities in Maryland are hiring for Apprentice Gis Web Developer jobs?

Cities in Maryland with the most Apprentice Gis Web Developer job openings:

Apprentice Gis Web Developer jobs near you

Data Scientist - AI/ML

Science Systems & Applications

Lanham, MD • On-site

$87K - $105K/yr

Full-time

Re-posted 21 days ago

Job description

Science Systems and Applications, Inc. (SSAI) is seeking a highly motivated Data Scientist to support NASA Earth science data systems, geospatial analytics, scientific software development, and AI/ML initiatives. The role includes researching, evaluating, and applying emerging technologies such as artificial intelligence, quantum computing methodologies, and advanced analytics to advance Earth science research, geospatial data processing, and scientific discovery.

Responsibilities

  • Design, develop, and deploy machine learning and artificial intelligence models to support predictive analytics, environmental monitoring, geospatial intelligence, and Earth science research applications.
  • Develop geospatial analytics, visualization tools, and web-based applications for large environmental and remote sensing datasets.
  • Create and support RESTful APIs, web services, and cloud-based data access systems utilizing AWS and Azure cloud platforms for scalable storage, processing, and dissemination of Earth science data.
  • Develop workflows for processing, quality control, analysis, and dissemination of satellite-derived geospatial products.
  • Collaborate with scientists to translate research requirements into operational software solutions.
  • Support Earth science data archives, user services, and community engagement activities.
  • Perform spatial and temporal analysis of environmental datasets using GIS, remote sensing, and statistical methods.
  • Develop and automate data processing pipelines using Python and scientific computing frameworks, leveraging cloud services to support large-scale geospatial and remote sensing workflows.
  • Support, maintain, and integrate legacy scientific applications developed in Fortran with modern Python-based analytics, data processing, and visualization workflows.
  • Integrate diverse datasets from satellite observations, field measurements, and numerical models.
  • Prepare technical documentation, scientific reports, conference presentations, and peer-reviewed publications.
  • Collaborate with scientists, software engineers, and technology partners to identify opportunities for integrating quantum computing concepts into AI/ML workflows, high-performance computing environments, and next-generation Earth science applications.

Required Qualifications

  • Master’s Degree (M.S.) and a minimum of 5 years related experience and/or training, or equivalent combination of education and experience.
  • Experience applying AI/ML techniques to Earth science, climate, environmental, geospatial, remote sensing, or other large scientific datasets.
  • Strong programming skills in Python and experience with scientific computing workflows, including Fortran and high-performance computing environments.
  • Experience developing and deploying AI/ML solutions using cloud platforms such as AWS and Azure.
  • Experience with GIS and geospatial data processing tools.
  • Experience working with large environmental, remote sensing, or geospatial datasets.
  • Knowledge of spatial databases, web services, application development frameworks, and emerging technologies such as quantum computing.
  • Experience developing and supporting data visualization and analytics tools.
  • Strong written and verbal communication skills.
  • Ability to work effectively in multidisciplinary scientific teams.

Desired Qualifications

  • Experience supporting NASA, NOAA, USGS, or other federal Earth science programs.
  • Experience with satellite data products such as MODIS, Landsat, VIIRS, or similar Earth observation datasets.
  • Experience developing geospatial web applications and cloud-enabled data services.
  • Knowledge of GDAL, ArcGIS, GRASS GIS, or similar geospatial software packages.
  • Experience with JavaScript, Node.js, SQL, Linux, and scientific computing environments.
  • Experience with hydrologic, environmental, ecological, or climate modeling.
  • Demonstrated record of peer-reviewed scientific publications.
  • Experience interacting directly with scientific user communities and stakeholders.


EEO/AA Veterans and Individuals with Disabilities

Physical Requirements: While performing the duties of this job, the employee is regularly required to stand, walk, and use hands to touch, handle or feel objects, tools or controls. The employee frequently is required to talk and hear and occasionally required to reach with hands and arms and stoop, kneel, crouch, or crawl. Must regularly lift and/or move up to 10 pounds, and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, peripheral vision, depth perception and the ability to adjust focus