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Geospatial Engineer Jobs in Boston, MA (NOW HIRING)

... engineering, computer science, or data science • Experience building neural networks using ... geospatial • Experience with self-supervised machine learning • Expertise working with time ...

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Geospatial Engineer information

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$5

$50

$97

How much do geospatial engineer jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for geospatial engineer in Boston, MA is $50.66, according to ZipRecruiter salary data. Most workers in this role earn between $38.89 and $62.69 per hour, depending on experience, location, and employer.

What does a geospatial engineer do?

A geospatial engineer analyzes and interprets geographic data using GIS (Geographic Information Systems), remote sensing, and mapping tools. They develop spatial models, create maps, and support projects related to land use, environmental management, or infrastructure planning, often working with GPS technology and spatial databases.

What is the highest salary in GIS?

The highest salaries for geospatial engineers can exceed $120,000 annually, especially for those with advanced skills, extensive experience, or leadership roles. Senior professionals with expertise in GIS software, programming, and data analysis in high-demand industries tend to earn the top salaries.

What Is a Geospatial Engineer?

A geospatial engineer uses modern mapping technologies, such as GIS and GPS, to map, collect, and analyze geographic data. They work with mapping or visualization tools to create 2D or 3D maps of building sites, national parks, or other locations of interest. Geospatial engineers also locate archeological sites or potential sites for civil engineering projects, such as dams or bridges. To pursue a career as a geospatial engineer, you need a bachelor’s degree in engineering, geography, geographic information systems, or a related field. Other qualifications include proficiency in mapping software, strong data analysis skills, and job experience in the industry.

How does a Geospatial Engineer typically collaborate with other departments within an organization?

Geospatial Engineers frequently work alongside professionals from various departments, such as urban planners, civil engineers, environmental scientists, and IT specialists. Collaboration often involves integrating spatial data into broader project workflows, providing technical expertise on mapping technologies, and ensuring that geospatial solutions align with organizational goals. Effective communication and teamwork are essential, as Geospatial Engineers must translate complex data into actionable insights for non-technical stakeholders and support cross-functional projects. This collaborative environment offers opportunities to develop both technical and interpersonal skills, contributing to professional growth.

What are the key skills and qualifications needed to thrive as a Geospatial Engineer, and why are they important?

To thrive as a Geospatial Engineer, you need a strong background in geography, cartography, GIS, and spatial data analysis, typically supported by a relevant bachelor's degree. Proficiency with GIS software like ArcGIS or QGIS, remote sensing tools, and possibly certifications such as GISP are common requirements. Strong problem-solving skills, attention to detail, and effective communication are standout soft skills in this field. These skills and qualifications are crucial for accurately analyzing spatial data, creating reliable maps, and supporting informed decision-making across various industries.

What is the difference between Geospatial Engineer vs GIS Analyst?

AspectGeospatial EngineerGIS Analyst
Required CredentialsBachelor's in Geospatial Science, GIS, or related field; certifications like GISPBachelor's in Geography, GIS, or related; certifications like GISP
Work EnvironmentFieldwork, data collection, GIS software developmentData analysis, map creation, spatial data management
Employer & IndustryEngineering firms, government agencies, tech companiesGovernment agencies, urban planning, environmental organizations
Common Search & ComparisonYesYes

While both Geospatial Engineers and GIS Analysts work with spatial data, Geospatial Engineers focus more on developing GIS systems, managing data infrastructure, and integrating geospatial technology into engineering projects. GIS Analysts primarily analyze spatial data, create maps, and support decision-making through data visualization. Both roles require similar credentials and often collaborate, but their core responsibilities differ in scope and application.

Is geospatial engineering in demand?

Geospatial engineering is in demand due to the increasing reliance on geographic information systems (GIS), remote sensing, and spatial data analysis across industries such as urban planning, environmental management, and transportation. Job opportunities are expected to grow as organizations seek professionals skilled in GIS software, data collection, and spatial analysis tools.

What engineers make $500,000?

Highly experienced engineers in specialized fields such as petroleum engineering, aerospace engineering, or certain senior software engineering roles can earn $500,000 or more annually, often including bonuses and stock options. Achieving this level typically requires advanced skills, extensive experience, and working in high-paying industries or leadership positions.
What are the most commonly searched types of Geospatial Engineer jobs in Boston, MA? The most popular types of Geospatial Engineer jobs in Boston, MA are:
What are popular job titles related to Geospatial Engineer jobs in Boston, MA? For Geospatial Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Geospatial Engineer jobs in Boston, MA look for? The top searched job categories for Geospatial Engineer jobs in Boston, MA are:
Infographic showing various Geospatial Engineer job openings in Boston, MA as of June 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $105,364 per year, or $50.7 per hour.
Lead Research Scientist - Machine Learning (Clearance Required)

Lead Research Scientist - Machine Learning (Clearance Required)

STR

Woburn, MA • On-site

Full-time

Posted 27 days ago


Job description

Job Summary:
STR is a technology company specializing in advanced research and development for defense, intelligence, and national security. As a Lead Research Scientist, you will develop AI/ML algorithms and lead project teams to address complex challenges in signals exploitation and system resource management.
Responsibilities:
• help develop disruptive technologies focused on signals exploitation, estimation theory, system resource management, and systems analysis
• lead the development of cutting-edge AI/ML algorithms for novel application domains and modalities
• participate on and lead project teams
• interact with customers
• explore fascinating datasets
• develop cutting-edge algorithmic techniques
• solve high-impact, unique problems for our customers
Qualifications:
Required:
• Active Top Secret Clearance Required with SCI eligibility, for which U.S citizenship is needed by the U.S government
• MS with at least 8 years of experience, and/or PhD with at least 5 years of experience (or equivalent experience) in a scientific field such as applied math, physics, electrical engineering, computer science, or data science
• Experience building neural networks using standard deep learning tools (e.g., PyTorch, JAX, TensorFlow), including implementing new layers/network architectures, model training, hyperparameter tuning, and ablation studies
• Experience adapting novel machine learning approaches (e.g., from academic literature) to new data sets and problems
• Experience with standard data science tools such as scikit-learn, Pandas, and Matplotlib
• Proficiency in one or more programming languages: Python, C/C++
• Able to work, collaborate on, and lead multi-disciplinary teams
• Able to communicate technical foundations of models and algorithms to technical and non-technical audiences
• Experience in intelligence or military-related mission areas
Preferred:
• Experience applying deep learning to domains other than images/text, such as time series, discrete event sequence, or geospatial
• Experience with self-supervised machine learning
• Expertise working with time series, geospatial, and/or spatio-temporal data
Company:
STR is built on people & technology platforms tackling tough problems in cybersecurity, distributed sensing & artificial. Founded in 2010, the company is headquartered in Woburn, USA, with a team of 501-1000 employees. The company is currently Late Stage.