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Entry Level Geospatial Data Engineer Jobs in Boston, MA

Our team consists of passionate and motivated engineers and scientists with advanced degrees in ... Have expertise working with geospatial and/or spatio-temporal data Pay Information Full-Time Salary ...

Field Data Collection Technician

Wakefield, MA · On-site

$20.75 - $28.50/hr

... engineering partners make smarter, evidence-based decisions. Combining startup agility with deep technical expertise, our team works at the intersection of geospatial technology and civil ...

Our team consists of passionate and motivated engineers and scientists with advanced degrees in ... Have expertise working with geospatial and/or spatio-temporal data Pay Information Full-Time Salary ...

Our team consists of passionate and motivated engineers and scientists with advanced degrees in ... Have expertise working with geospatial and/or spatio-temporal data Pay Information Full-Time Salary ...

... data structures, algorithms, databases and SQL, and software development in an object-oriented language such as Java or C# • Solid problem-solving and logical reasoning • Clear written and verbal ...

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/Data Scientists. Who Should Apply Recent IT graduates looking to make their ...

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

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 ...

Python Developer

Cambridge, MA · On-site

$55 - $75.75/hr

We are continuously looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for ...

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 ...

They are seeking an Entry Level Data Scientist who will collaborate with clients to prepare and ... engineering and success teams to ensure smooth implementations and knowledge transfer.

Graduation from a four-year university with a major in engineering, or related field * Bachelors ... geospatial data management software (ESRI or similar) OR * Must have familiarity with data ...

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Entry Level Geospatial Data Engineer information

See Boston, MA salary details

$5

$50

$97

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

As of Jun 27, 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.

Can I get a data engineer job with no experience?

Entry level geospatial data engineer positions typically require some knowledge of GIS tools, programming languages like Python or SQL, and data management skills. While prior experience is often preferred, candidates with relevant coursework, certifications, or strong technical skills can sometimes qualify for entry-level roles and demonstrate their potential through projects or internships.

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 engineer makes $500,000 a year?

While most entry-level geospatial data engineers do not earn that amount, senior or specialized engineers with extensive experience, advanced skills in GIS software, programming, and data management can reach or exceed $500,000 annually, especially in high-demand industries or senior leadership roles. Such compensation often includes bonuses, stock options, or other incentives.

Will GIS be overtaken by AI?

GIS (Geographic Information Systems) and AI are complementary technologies; AI can enhance geospatial data analysis and automate tasks within GIS workflows. Entry-level geospatial data engineers often use AI tools like machine learning algorithms to improve data processing, but GIS skills remain essential for spatial data management and interpretation. AI is expected to augment rather than replace traditional GIS roles in the near future.

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.

Is GIS analyst entry-level?

GIS analyst roles can be entry-level or require more experience, depending on the employer. Entry-level GIS analysts typically have a bachelor's degree in geography, GIS, or related fields and may use tools like ArcGIS or QGIS. These positions often involve basic data management, mapping, and spatial analysis tasks.

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:
Data Scientist (CLEARANCE REQUIRED)

Data Scientist (CLEARANCE REQUIRED)

STR

Woburn, MA

$110K - $138K/yr

Other

Posted 15 days ago


Job description

About the Team

STR's Analytics & C2 (AC2) Division researches and develops novel technologies to solve challenging national security problems through advanced analytics and C2 technologies. Our team consists of passionate and motivated engineers and scientists with advanced degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve mission success of our customers.

The Signals Exploitation and Tracking (SET) Group in the Analytics and C2 Division focuses on applying machine learning, statistics, estimation theory, and information theory algorithms for signals exploitation, target tracking, predictive analytics, and system resource management.

The Role

As a Senior Data Scientist at STR, you will help develop disruptive technologies focused on signals exploitation, estimation theory, system resource management, and systems analysis.  You will contribute to data analysis, engineering software, and validation/verification of cutting-edge algorithms for novel application domains and modalities.  You will explore fascinating datasets, develop cutting-edge algorithmic techniques, and solve high-impact, unique problems for our customers. In addition, you will participate on project teams and interact with customers. We are looking for someone to join our team onsite as this position is based in the Woburn, MA office.

Who you are:

  • Active Top Secret Clearance Required with SCI eligibility, for which U.S citizenship is needed by the U.S government
  • Have experience in intelligence or military-related mission areas
  • MS degree or a BS degree with at least 2 years of experience, in a scientific field such as applied math, physics, electrical engineering, computer science, or data science
  • Experience building data analysis pipelines using standard tools (e.g., Python, C++), including implementing software to identify key metrics for various data sets
  • Experience designing and implementing experiments to verify and compare algorithm performance with measured data and/or simulations using standard analysis tools (e.g., Python)
  • 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 and collaborate on multi-disciplinary teams
  • Able to communicate technical foundations findings to technical and non-technical audiences

Even better:

  • Have experience in statistical inference, systems simulation capabilities, Monte Carlo or optimization methods, and/or data structures
  • Have expertise working with time-series data (sampled signals and/or discrete detection series)
  • Have expertise working with geospatial and/or spatio-temporal data

Pay Information
Full-Time Salary Range: $110,000 - $138,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.