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Entry Level Geospatial Data Engineer Jobs in Massachusetts

Forecasting and modeling involving geospatial data * Educational background in Geography, GIS ... Seniority level * Entry level Employment type * Contract Job function * Research, Analyst, and ...

Data Engineer - Senior Associate

Boston, MA ยท On-site

$77K - $202K/yr

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Property Data Specialist

Boston, MA ยท On-site

$85K - $95K/yr

KCC scientists and engineers create stochastic sets of potential future scenarios that are overlayed on geospatially distributed building and replacement cost data. These geospatial databases are ...

Property Data Specialist

Boston, MA ยท On-site

$85K - $95K/yr

KCC scientists and engineers create stochastic sets of potential future scenarios that are overlayed on geospatially distributed building and replacement cost data. These geospatial databases are ...

Company Description WaterSuite is a cloud based geospatial platform housing a large and growing ... Programming skills in python, R, JavaScript or similar Additional Information Location: Remote ...

Company Description WaterSuite is a cloud based geospatial platform housing a large and growing ... Programming skills in python, R, JavaScript or similar Additional Information Location: Remote ...

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Entry Level Geospatial Data Engineer information

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 Massachusetts? The most popular types of Geospatial Data Engineer jobs in Massachusetts are:
What are popular job titles related to Entry Level Geospatial Data Engineer jobs in Massachusetts? For Entry Level Geospatial Data Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Entry Level Geospatial Data Engineer jobs in Massachusetts look for? The top searched job categories for Entry Level Geospatial Data Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Entry Level Geospatial Data Engineer jobs? Cities in Massachusetts with the most Entry Level Geospatial Data Engineer job openings:
Geospatial Analyst - 51201

Geospatial Analyst - 51201

Turing

Boston, MA โ€ข Remote

Full-time

Medical, PTO

Posted 27 days ago


Job description

1 day ago Be among the first 25 applicants

Weโ€™re looking for Geospatial Experts to help advance AI systems through Supervised Fine-Tuning (SFT), Reinforcement Learning with Human Feedback (RLHF), and Evaluation (Evals).

In this role, youโ€™ll apply your domain expertise to assess, improve, and validate AI performance on complex geospatial reasoning and decision-making tasks, contributing to real-world applications with global impact.

What Youโ€™ll Do Day-to-Day
  • Evaluate and provide expert feedback on geospatial datasets, model outputs, and analyses.
  • Support annotation and reasoning tasks for real-world use cases such as crisis response, agriculture, supply chain optimization, and forecasting.
  • Ensure that evaluations align with accuracy, ethical, and contextual integrity standards in geospatial modeling.
Requirements
  • Fluent in English; representation from US, APAC, and EMEA regions encouraged.
  • Proven expertise in geospatial analysis, either through professional practice or academic research.
Experience or Knowledge in One or More of the Following Domains
  • Crisis response and management (e.g., damage assessment)
  • Agriculture and environmental monitoring
  • Site selection, market expansion, or supply chain optimization
  • Forecasting and modeling involving geospatial data
  • Educational background in Geography, GIS, Remote Sensing, Environmental Science, or related disciplines (preferred but not required).
  • Familiarity with geospatial tools and frameworks such as Google Earth, ArcGIS, QGIS, or geospatial Python libraries.
  • Participation in professional geospatial communities or conferences (e.g., AGA) is a plus.
Perks of Freelancing With Turing
  • Fully remote, flexible work.
  • Opportunity to contribute to advanced AI research and multimodal data projects.
  • Collaborate on creative, real-world tasks that shape how AI learns from human behavior.
  • Potential for extended collaboration based on performance and project needs.
  • Commitments Required : Maximum of 40 hours/week is allowed. This contract assignment may require some overlap with UTC-8:00 (2-5 hrs/day) America/Los_Angeles. To be confirmed closer to the onboarding date
  • Engagement type : Contractor assignment/freelancer (no medical/paid leave)
  • Duration of contract : 3 months, can be extended
About Turing

Based in San Francisco, California, Turing is the worldโ€™s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

Seniority level
  • Entry level
Employment type
  • Contract
Job function
  • Research, Analyst, and Information Technology
Industries
  • Software Development

Referrals increase your chances of interviewing at Turing by 2x

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Junior Geospatial Data Analyst - US Only

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