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Geospatial Data Engineer Jobs in Boston, MA (NOW HIRING)

Our work is highly visual, and our mapped data and applications are an essential part of todays ... Professional Engineer (PE) certification preferred CERTIFICATES, LICENSES, REGISTRATIONS * PMP ...

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 ...

Partner with product and engineering leaders to align design work with business goals * Present designs clearly to senior stakeholders, including C-level executives Data Visualization & Geospatial ...

Partner with product and engineering leaders to align design work with business goals * Present designs clearly to senior stakeholders, including C-level executives Data Visualization & Geospatial ...

Partner with product and engineering leaders to align design work with business goals * Present designs clearly to senior stakeholders, including C-level executives Data Visualization & Geospatial ...

Partner with product and engineering leaders to align design work with business goals * Present designs clearly to senior stakeholders, including C-level executives Data Visualization & Geospatial ...

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 ...

Senior Data Scientist

Woburn, MA ยท On-site

$140K - $190K/yr

Our team consists of passionate and motivated engineers with advanced degrees in engineering ... time series, geospatial, and imagery data, and must operate under challenging constraints not ...

Showing results 21-40

Geospatial Data Engineer information

See Boston, MA salary details

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$97

How much do geospatial data engineer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for 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 a geospatial data engineer?

A Geospatial Data Engineer is responsible for designing, developing, and managing systems that process and analyze spatial data. They work with geographic information systems (GIS), databases, and cloud platforms to handle large-scale geospatial datasets. Their role involves data pipeline development, spatial analysis, and optimizing geospatial data storage and retrieval. They collaborate with analysts, scientists, and developers to support location-based decision-making.

What are the key skills and qualifications needed to thrive as a geospatial data engineer?

To thrive as a Geospatial Data Engineer, you need solid expertise in geospatial data processing, spatial databases, GIS concepts, and programming languages like Python or SQL, typically backed by a relevant degree in geoinformatics, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, PostGIS, and cloud platforms, as well as certifications like GISP, are highly valued. Strong analytical thinking, attention to detail, and collaborative communication enhance performance in multidisciplinary teams. These skills are vital for accurately transforming complex spatial data into actionable insights and delivering reliable solutions in geospatial projects.

What are some common challenges faced by geospatial data engineers on the job?

Geospatial Data Engineers frequently encounter challenges related to integrating large and diverse spatial datasets from multiple sources, ensuring data quality, and optimizing data for efficient querying and analysis. Managing changing project requirements and staying updated with evolving geospatial technologies are also common aspects of the role. In addition, collaborating with data scientists, analysts, and GIS specialists requires clear communication to translate technical data into actionable outputs. Navigating these challenges effectively helps engineers deliver robust geospatial solutions that support business and research goals.

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 job categories do people searching Geospatial Data Engineer jobs in Boston, MA look for?

The top searched job categories for Geospatial Data Engineer jobs in Boston, MA are:

Infographic showing various Geospatial Data Engineer job openings in Boston, MA as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $105,364 per year, or $50.7 per hour.

Remote Senior Analytics Engineer - Python/Data Visualization

Boston, MA โ€ข Remote

Motion Recruitment
Recruiting and Staffing Servicesย โ€ขย 501 - 1,000 employees

$40/hr

Contractor

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

Job Description A leading organization serving the Property & Casualty insurance industry is seeking a Senior Analytics Engineer to join a team responsible for developing and enhancing internal data and analytics solutions that drive business growth and strategic decision-making.
In this role, you will help build and maintain a Python-based analytics platform that processes carrier and market data, validates and standardizes information, automates reporting, and delivers actionable insights to business stakeholders. The platform plays a critical role in supporting data-driven decision making and helping teams better understand market opportunities through advanced analytics and visualization.
The ideal candidate is a highly motivated analytics professional who can hit the ground running with minimal ramp-up time. This team is looking for someone who brings strong hands-on Python experience, excels at working with complex real-world datasets, and can quickly make meaningful contributions in a fast-paced environment. Required Skills & Experience
  • 4+ years of professional Python development experience
  • Experience building analytics, reporting, or data-focused applications
  • Strong experience working with Excel and CSV data sources
  • Experience cleaning, transforming, standardizing, and validating large datasets
  • Experience developing automated analytics and reporting solutions
  • Experience working with APIs and integrating external data sources
  • Strong data visualization experience
  • Ability to analyze large volumes of data and communicate actionable insights
  • Strong problem-solving and troubleshooting skills
  • Excellent communication and stakeholder management skills
  • Ability to work independently and contribute immediately with limited guidance
Desired Skills & Experience
  • Experience with Streamlit, Gradio, Taipy, or similar Python application frameworks
  • Experience with Pandera, Pydantic, or other data validation frameworks
  • Experience working with geospatial data
  • Experience within the Property & Casualty insurance industry
  • Experience supporting business development, sales analytics, or customer-facing analytics solutions
  • Familiarity with modern analytics engineering best practices
What You Will Be Doing Daily Responsibilities
  • 100% Hands-On
  • Design, develop, and maintain a Python-based analytics application
  • Process and analyze carrier and market datasets from various internal and external sources
  • Clean, standardize, validate, and reconcile large datasets
  • Build automated reporting and analytics workflows
  • Create dashboards, visualizations, and data products that support business decision-making
  • Integrate data from APIs, spreadsheets, and other structured sources
  • Identify trends, anomalies, and business opportunities through data analysis
  • Collaborate with stakeholders to gather requirements and deliver analytics solutions
  • Improve data quality, performance, and scalability across analytics processes
  • Troubleshoot data issues and continuously optimize existing workflows
The Offer
  • 6-Month Contract Opportunity
  • Compensation: Up to $40/hour, depending on experience
  • Opportunity to work on a highly visible analytics platform with direct business impact
  • Fast-paced environment where experienced professionals can contribute immediately
  • Potential for extension based on business needs and performance
You will receive the following benefits
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k)
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.