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Entry Level Geospatial Data Engineer Jobs in Boston, MA

They are seeking a Founding Machine Learning Engineer to own the development of matching algorithms ... Preferred : โ€ข Geospatial data experience (H3, PostGIS, GeoPandas) โ€ข Mobility or location data ...

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 ...

... analysis and engineering software while collaborating with project teams and customers ... geospatial and/or spatio-temporal data Company : STR is built on people & technology platforms ...

... and engineering software for unique problem-solving in a collaborative environment ... geospatial and/or spatio-temporal data Company : STR is built on people & technology platforms ...

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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 Aug 24, 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 is an entry level geospatial data engineer?

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 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 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 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 entry level geospatial data engineer job titles?

Entry level geospatial data engineer job titles often include roles such as Junior Geospatial Data Engineer, Geospatial Data Analyst, GIS Technician, or GIS Analyst. These positions typically require knowledge of GIS software, spatial databases, and data processing tools, and may involve supporting mapping projects or data management tasks.

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:

Software Engineer - Data Engineering Platform (Python _ SQL _ PostGIS

Woodmac

Boston, MA โ€ข On-site

$120 - $170/hr

Other

Posted 3 days ago

New


Job description

Role Purpose

The Software Engineer will join the team responsible for the core data platform supporting valuation and analytics products. The platform ingests, processes and maintains large-scale geospatial and energy datasets used across oil and gas, renewables, electrical infrastructure, carbon and land intelligence. This is a backend data engineering position focused on Python, PostgreSQL/PostGIS and Linux. The role will design, develop and maintain data pipelines, spatial data processes and data-quality controls that provide reliable information to downstream products and users. It is not primarily an application or frontโ€‘end development role.

Main Responsibilities
  • Design, develop, test and maintain Python-based ETL pipelines for large geospatial and energy datasets.
  • Build and optimise PostgreSQL/PostGIS schemas, SQL queries and spatial data workflows.
  • Develop automated processes for data ingestion, validation, transformation and promotion.
  • Monitor data quality and investigate issues affecting the accuracy, completeness or reliability of data products.
  • Maintain Linux-based data-processing environments, scheduled jobs and automation tooling.
  • Support data engineering across energy infrastructure, land, oil and gas, renewables and carbon datasets.
  • Collaborate with product, GIS and data science colleagues to understand requirements and deliver reliable data products.
  • Diagnose pipeline, database and processing issues, implementing maintainable solutions.
  • Contribute to documentation, engineering practices and the continuous improvement of data-platform processes.
About YouEssential experience and capabilities
  • Practical software development experience using Python.
  • Advanced working knowledge of PostgreSQL and SQL, including database design and query-performance optimisation.
  • Experience using PostGIS or comparable geospatial database technologies.
  • Experience building and maintaining ETL or data-engineering pipelines.
  • Experience processing large or complex datasets.
  • Experience implementing validation and data-quality controls.
  • Working knowledge of Linux administration, scripting and automation.
  • Effective analytical, diagnostic and problem-solving skills.
  • Ability to communicate technical information clearly and work collaboratively across disciplines.
Desirable experience
  • Elasticsearch.
  • AWS services, particularly Amazon S3.
  • TypeScript, Node.js or REST API development.
  • GIS formats such as Shapefile and GeoJSON.
  • Spatial indexing or geospatial analytics.
  • Data modelling, machine learning or statistical analysis.
  • Energy, land, mineral rights, oil and gas, renewables, electrical-grid or carbon/CCUS datasets.

We recognise that experience can be gained in different ways.

Working Arrangements

We are a hybrid working company and the successful applicant will normally be expected to be physically present in the office at least two days per week to foster and contribute to a collaborative environment. Remote working arrangements will also be considered for this role, subject to the applicable approval process. Due to the global nature of the team, a degree of flexible working will be required to accommodate different time zones. Any out-of-hours collaboration should be planned proportionately and shared fairly across the team.

Equal Opportunities

We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex (including pregnancy, sexual orientation, and gender identity), national origin, disability or protected veteran status. You can find out more about your rights under the law at www.eeoc.gov

If you like wild growth and working with happy, enthusiastic overโ€‘achievers, you'll enjoy your career with us!

Our Work Experience

Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people.

Our employees are selfโ€‘disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.

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