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Entry Level Geospatial Data Engineer Jobs in Boston, MA

Xylem

Hydroinformatics Engineer

Tewksbury, MA · On-site +1

We're Hiring for a Hydroinformatics Engineer! If you are excited and passionate about helping ... Experience with modern data science workflows for data access and filtering, geospatial analysis ...

Xylem

Hydroinformatics Engineer

Tewksbury, MA · On-site

The Hydroinformatics Engineer will be responsible for the development and implementation of ... Experience with modern data science workflows for data access and filtering, geospatial analysis ...

Precise - Int

Entry-Level Financial Analyst

Boston, MA · On-site

... Engineering, and Legal firms, in search of entry-level financial analysts for our rapidly growing ... Responsibilities • Mapping and analyzing quantitative data • Preparing management reports • ...

Blue Collar

Field Data Collection Technician

Boston, MA · On-site

$22/hr

Operate our sidewalk survey electric scooters to collect video and geospatial information using a ... Having Surveying, Civil Engineering or Pavement Management experience is a big plus, but not ...

Pwc

AIT - AI Data Scientist Senior Associate

Boston, MA

$72K - $212K/yr

... Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Precise - Int

Entry-Level Financial Analyst

Boston, MA

$56K/yr

... Engineering, and Legal firms, in search of entry-level financial analysts for our rapidly growing ... Mapping and analyzing quantitative data * Preparing management reports * Managing cash flow and ...

Elutions

Domain Engineer

Boston, MA · Remote

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Conduct research, data analytics, and prepare reports. * Grasp concepts related to fluid mechanics ...

Elutions

Domain Engineer

Boston, MA

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Conduct research, data analytics, and prepare reports. * Grasp concepts related to fluid mechanics ...

Elutions

Domain Engineer

Boston, MA · On-site

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Conduct research, data analytics, and prepare reports. * Grasp concepts related to fluid mechanics ...

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Entry Level Geospatial Data Engineer information

See Boston, MA salary details

$5

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$97

How much do entry level geospatial data engineer jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for entry level geospatial data 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 are the key skills and qualifications needed to thrive as an Entry Level Geospatial Data Engineer, and why are they important?

To thrive as an Entry Level Geospatial Data Engineer, a solid understanding of GIS concepts, spatial data analysis, and a relevant degree in geography, computer science, or a related field is essential. Familiarity with tools like ArcGIS, QGIS, Python, and SQL, as well as experience with geospatial databases, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help individuals excel in collaborating with teams and interpreting complex data. These skills ensure accurate geospatial solutions and support critical decision-making in industries like urban planning, environmental management, and logistics.

What are entry level geospatial data engineers?

Entry level geospatial data engineers are professionals who work with geographic information systems (GIS) and spatial data to collect, process, and analyze location-based information. They use programming, data management tools, and mapping software to support projects in fields such as urban planning, environmental science, and logistics. At the entry level, these engineers assist in database maintenance, data cleaning, and creating visualizations while learning industry standards and best practices.

What is the difference between Entry Level Geospatial Data Engineer vs GIS Analyst?

AspectEntry Level Geospatial Data EngineerGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; some certificationsBachelor's in GIS, Geography; certifications like GISP are common
Work EnvironmentData processing, database management, scripting, software developmentMap creation, spatial analysis, data visualization, report generation
Employer & Industry UsageTech firms, government agencies, environmental companiesUrban planning, government agencies, consulting firms
Common Search & ComparisonYesYes

Entry Level Geospatial Data Engineers focus on building and managing spatial data systems, often involving programming and database skills. GIS Analysts primarily analyze and visualize spatial data to support decision-making. While both roles require GIS knowledge, Data Engineers emphasize data infrastructure, whereas Analysts focus on spatial analysis and reporting.

What are some common challenges faced by entry level geospatial data engineers when working with large spatial datasets?

Entry level geospatial data engineers often encounter challenges related to the size and complexity of spatial datasets, such as slow processing times, data quality issues, and difficulties with data integration from various sources. Learning to use specialized tools like GIS software and spatial databases efficiently is crucial for handling these challenges. Collaborating with more experienced engineers and data scientists can help new hires develop best practices for data cleaning, transformation, and visualization, which are key skills in this role.
What are the most commonly searched types of Geospatial Data Engineer jobs in Boston, MA? The most popular types of Geospatial Data Engineer jobs in Boston, MA are:
What are popular job titles related to Entry Level Geospatial Data Engineer jobs in Boston, MA? For Entry Level Geospatial Data Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Entry Level Geospatial Data Engineer jobs in Boston, MA look for? The top searched job categories for Entry Level Geospatial Data Engineer jobs in Boston, MA are:
Entry Level Geospatial Data Engineer jobs near you
Postdoctoral Research Position in Data Science/ML for Assessing Societal Impacts of AI Data Centers

Postdoctoral Research Position in Data Science/ML for Assessing Societal Impacts of AI Data Centers

Harvard University

Cambridge, MA • On-site

$75K/yr

Full-time

Re-posted 9 days ago

Harvard University rating

8.4

Company rating: 8.4 out of 10

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Job description

Position
Details
Title
Postdoctoral Research Position in Data Science/ML for Assessing Societal Impacts of AI Data Centers
School
Harvard T.H. Chan School of Public Health
Department/Area
Biostatistics
Position Description
We invite applications for a full-time Postdoctoral Research Fellow to join a massive research effort aimed at assessing the environmental and health impacts of AI data centers. The position will be supervised by Professor Francesca Dominici and will focus on building and evaluating a decision framework to guide the expansion of AI data centers, aligning economic opportunity with social impact. Our team leverages data pipelines to quantify data centers' electricity and water use, emissions, and air pollution exposure and health impacts. The overarching goal is to develop an interactive utility-facing geospatial toolkit through data science and partnerships with grid operators.
Duties and Responsibilities
• Develop a scalable data science pipeline to harmonize and link detailed information on type, size, location of data centers in the US, their electricity and water demand, carbon emissions; exposure to air pollution.
• Develop and/or apply methods for causal inference and machine learning to estimate the excess number of adverse health events and directly attributable to data centers
• Develop a decision-support platform that allows data center expansion while minimizing environmental exposures and associated health impacts.
• Lead and contribute to manuscripts for high-impact journals and conferences (e.g., Nature-like journals or top CS conferences).
• Present findings in internal meetings and at national/international conferences.
• Collaborate with an interdisciplinary team of biostatisticians, computer scientists, climate scientists and community and industry partners.
• Contribute to open-source code, reproducible research workflows, and, where possible, public tools or model artifacts.
Basic Qualifications
• PhD (completed or near completion) in one of the following or a closely related field:
  • Computer Science
  • Statistics / Biostatistics
  • Applied Mathematics
  • Data Science

• Demonstrated expertise in modern machine learning, including at least one of the following:
  • Spatiotemporal modeling or geospatial/temporal data analysis
  • Causal inference

• Strong programming skills in Python and experience with PyTorch, required to have experience developing code with a team through collaborative version control
• Experience working with large datasets and cloud computing environments.
• Solid background in statistical modeling and inference
• Excellent written and oral communication skills, with a track record of peer-reviewed publications commensurate with career stage.
Additional Qualifications
Prior experience with one or more of:
• Health claims data, EHRs, or other large-scale health/administrative datasets
• Environmental, climate, or air pollution exposure data
• Causal inference methods
Familiarity with interdisciplinary work at the interface of computer science, climate, environment, and health.
Special Instructions
Please submit the following materials:
• Cover letter describing your research interests, relevant experience, and fit for this position.
• Curriculum vitae including a list of publications.
• One to three representative publications or preprints.
• Names and contact information for 2-3 references.
Contact Information
Catherine Adcock
Contact Email
catherine_adcock@harvard.edu
Salary Range
$75,000
Minimum Number of References Required
2
Maximum Number of References Allowed
3
Keywords
biostatistics; data science; machine learning; data centers

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