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Geospatial Data Science Intern Jobs in Portland, OR

In this role, you'll support scientific and engineering initiatives through cartography, geospatial analysis, data visualization, and spatial data management. Initially, your primary focus will be ...

GIS Specialist

Portland, OR · On-site

$50K - $95K/yr

In this role, you'll support scientific and engineering initiatives through cartography, geospatial analysis, data visualization, and spatial data management. Initially, your primary focus will be ...

In this role, you'll support scientific and engineering initiatives through cartography, geospatial analysis, data visualization, and spatial data management. Initially, your primary focus will be ...

GIS Specialist

Portland, OR · On-site

$50K - $95K/yr

In this role, you'll support scientific and engineering initiatives through cartography, geospatial analysis, data visualization, and spatial data management. Initially, your primary focus will be ...

Develop relationships and collaborate with both internal and external stakeholders, data scientists ... Demonstrated experience and expertise in the utilization of Python for geospatial data analysis

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Geospatial Data Science Intern information

See Portland, OR salary details

$12

$23

$44

How much do geospatial data science intern jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for geospatial data science intern in Portland, OR is $23.87, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $26.01 per hour, depending on experience, location, and employer.

What types of projects or tasks can a Geospatial Data Science Intern expect to work on?

As a Geospatial Data Science Intern, you may assist with tasks such as cleaning, analyzing, and visualizing geospatial datasets, creating maps and spatial models, or developing scripts to automate data processing workflows. Interns often support research projects related to urban planning, environmental analysis, logistics, or public health, depending on the industry and team focus. You'll likely work closely with a mix of data scientists, GIS analysts, and subject matter experts, gaining exposure to real-world applications of spatial data. This hands-on project work can help build your portfolio and provide valuable experience that supports future career growth in geospatial science and analytics.

What is a Geospatial Data Science Intern job?

A Geospatial Data Science Intern helps analyze and interpret spatial data using GIS, statistical methods, and machine learning. They work with mapping tools, databases, and coding languages like Python or R to extract insights from geographic information. Interns may assist in data collection, visualization, and model development for applications in urban planning, environmental science, transportation, and more. This role provides hands-on experience with geospatial technologies and real-world problem-solving.

What are the key skills and qualifications needed to thrive in the Geospatial Data Science Intern position, and why are they important?

To thrive as a Geospatial Data Science Intern, you need a background in data science, spatial analysis, and GIS concepts, ideally supported by coursework or a degree in geography, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, Python, SQL, and data visualization platforms is commonly expected, while knowledge of remote sensing or geospatial databases is a plus. Problem-solving abilities, attention to detail, and strong communication skills help interns excel in collaborative, project-driven environments. These skills are crucial for effectively analyzing spatial data and successfully contributing to innovative geospatial solutions.

What are popular job titles related to Geospatial Data Science Intern jobs in Portland, OR? For Geospatial Data Science Intern jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Science Intern jobs in Portland, OR look for? The top searched job categories for Geospatial Data Science Intern jobs in Portland, OR are:
What cities near Portland, OR are hiring for Geospatial Data Science Intern jobs? Cities near Portland, OR with the most Geospatial Data Science Intern job openings:
Infographic showing various Geospatial Data Science Intern job openings in Portland, OR as of July 2026, with employment types broken down into 20% Internship, 60% Full Time, and 20% Part Time. Highlights an 90% In-person, and 10% Hybrid job distribution, with an average salary of $49,641 per year, or $23.9 per hour.

$50K - $95K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

Design a career and build your future... Because it matters!

GIS Specialist

McMillen Inc. is looking for a GIS Specialist to join our Geospatial Group. In this role, you'll support scientific and engineering initiatives through cartography, geospatial analysis, data visualization, and spatial data management. Initially, your primary focus will be developing maps and managing geospatial data for permitting and engineering projects. As you grow in the role, you'll have opportunities to apply your geospatial expertise to a variety of science and engineering studies based on your experience and interests. You'll be expected to independently manage GIS efforts across multiple projects while contributing advanced geospatial solutions to our multidisciplinary team.

Who we are: McMillen, Inc. designs and builds solutions that shape the future of water resources. As an employee-owned firm, we take pride in every project because we know our work truly matters. Our people thrive on solving complex challenges, pushing boundaries, and refining their craft. We don't look for the complacent or the comfortable. We seek problem solvers, innovators, and experts who are always striving to be better. We support continuous learning, cutting-edge technology, and a balanced work-life environment so our employees can build careers they're proud of.

We are focused in the dams, energy, fisheries, natural resources, and infrastructure markets. Our people integrate engineering, environmental, and construction expertise to deliver practical, results-driven outcomes. From concept to completion, projects are guided through feasibility studies, permitting, design, construction, and commissioning, ensuring technical precision and real-world functionality.  

Responsibilities:

  • Develop professional-quality maps and cartographic products using ArcGIS Pro
  • Manage and organize geospatial datasets for engineering and permitting projects
  • Perform geospatial analysis to support environmental, engineering, and scientific initiatives
  • Collaborate with multidisciplinary teams to deliver innovative GIS solutions
  • Maintain GIS databases (including metadata) and ensure data quality and accuracy
  • Develop surveys for field data collection using Field Maps Designer and Survey123
  • Opportunities to develop web applications (e.g., ArGIS Experience Builder, ArGIS Dashboards, Leaflet, and others) as time and interest allows

Qualifications:

  • 0-5 years of experience applying GIS and spatial analysis in support of engineering, hydrology, or environmental science projects
  • Bachelor's degree in in an environmental science field with applied geospatial and GIS component or credential.
  • Experience with ArcGIS Pro
  • Experience with ArcGIS Online and ESRI web-based applications
  • Intermediate experience creating professional cartographic products
  • Understanding of geospatial analysis concepts, including spatial statistics and the Spatial Analyst toolkit (or equivalent open-source tools)
  • Knowledge of spatial projections and datums
  • Experience working with geospatial data, including: ESRI Geodatabases, KML, GeoPackage, JSON, Elevation data (DEM, point clouds, TIN), and Satellite imagery (Sentinel, Landsat), Derived Products (Land Cover/Classification)
  • Strong curiosity, adaptability, and willingness to learn new software and technologies
  • Ability to support multiple technical disciplines and projects simultaneously
  • Strong written and verbal communication skills, with the ability to collaborate across disciplines and convey technical concepts to varied audiences.
  • Strong organization and data management skills.
  • Knowledge of QGIS and Google Earth Engine preferred
  • Knowledge of programming languages such as python, R, SQL, and Arcade (ESRI) preferred
  • Familiarity with geospatial libraries such as GDAL and GRASS GIS preferred.

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The inability to cope with a stressful work environment does not constitute a protected disability.

While performing the duties of this job, the employee is frequently required to sit. The employee is frequently required to stand; walk; use hands to finger, handle, or feel; reach with hands and arms; climb or balance; stoop, kneel, crouch, or crawl and talk or hear. The employee must occasionally lift and/or move up to 25 pounds. Must be able to travel with luggage and be able to transport materials and personal overnight supplies. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus.

Compensation Package:

  • Pay Range: $50,000 - $95,800 (DOE)
  • Benefits: McMillen provides a full Benefits Program comprising medical, dental, vision, life, disability, FSA, EAP, HSA, 401(k) and match, 9 paid holidays, generous PTO, opportunity for stock ownership, and wellness reimbursement.

EEO: McMillen, Inc. is an EEO/Affirmative Action Employer and will make all employment related decisions without race, color, religion, sex, national origin, disability or protected veteran status.

Visa sponsorship, including renewal during employment, will not be provided for this position.

No recruiters, please.