2

Geospatial Data Engineer Remote Jobs in Billerica, MA

GIS/Geospatial Expert

Boston, MA ยท Remote

$80 - $100/hr

Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote ... Experience applying AI agents to real-world GIS, geospatial, scientific, engineering, or other ...

New

Data Engineer

Burlington, MA ยท Remote

$117K - $140K/yr

This is NOT a fully remote position! * 4-6 years of experience as a Data Engineer, Backend Engineer, Database Engineer, or similar role. * Strong programming experience in Python, C++, Golang, or ...

Data Engineer

Boston, MA ยท Remote

$137K/yr

Data Engineer Job Duties: * Discover hidden information using massive datasets and leveraging ... This position is eligible for fully remote work from any location in the United States. Minimum ...

AI Data Engineer

Boston, MA ยท On-site +1

$124K - $149K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

AI Data Engineer

Boston, MA ยท Remote

$117K - $140K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

AI Data Engineer

Boston, MA ยท On-site +1

$124K - $149K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Our work is highly visual, and our mapped data and applications are an essential part of todays ... Remote considered . MAJOR RESPONSIBILITES: Project Managers lead a wide variety of project types ...

Principal Data Engineer

Boston, MA ยท On-site +1

$190K - $210K/yr

This role is fully remote working anywhere in the US. What success looks like * You partner with ... data engineering, data platforms, and infrastructure for data-centric applications * Strong ...

Senior Data Engineer

Boston, MA ยท Remote

$108K - $147K/yr

As a Senior Data Engineer , you will work closely with cross-functional teams to ensure our data ... Fully remote role within the United States * Periodic travel (approximately 5%) for team meetings ...

Principal Data Engineer

Boston, MA ยท On-site +1

$190K - $210K/yr

This role is fully remote working anywhere in the US. What success looks like * You partner with ... data engineering, data platforms, and infrastructure for data-centric applications * Strong ...

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Interviews: 2 rounds Top ... Build MLOps pipelines for structured/unstructured data. * Implement observability, monitoring, and ...

Senior Data Engineer

Boston, MA ยท Remote

$108K - $147K/yr

We are looking for a Senior Data Engineer to help design, build, and scale the data systems that ... This role is primarily remote, US-based, and operates largely in EST hours, with occasional travel ...

next page

Showing results 1-20

Geospatial Data Engineer Remote information

See Billerica, MA salary details

$47.3K

$137.8K

$188.5K

How much do geospatial data engineer remote jobs pay per year?

As of Aug 27, 2026, the average yearly pay for geospatial data engineer remote in Billerica, MA is $137,755.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,600.00 and $146,000.00 per year, depending on experience, location, and employer.

What is a geospatial data engineer?

A Geospatial Data Engineer is a technology professional who designs, develops, and manages systems for collecting, storing, analyzing, and visualizing geospatial (location-based) data. They work with geographic information systems (GIS), spatial databases, and cloud platforms to process large datasets from sources like satellites, drones, and sensors. In a remote setting, they collaborate with teams online to build and maintain geospatial data pipelines and support decision-making for industries such as urban planning, environmental science, and logistics.

What are the typical challenges faced by remote geospatial data engineers when collaborating with distributed teams?

Remote Geospatial Data Engineers often navigate challenges such as coordinating across different time zones, ensuring data consistency, and maintaining effective communication with team members who may have varying technical backgrounds. Utilizing collaborative tools like version control systems and cloud-based platforms helps streamline workflows, but clear documentation and regular check-ins are essential to prevent misunderstandings. Building strong relationships virtually and proactively addressing technical or logistical issues can greatly enhance productivity and teamwork in a remote setting.

What are the key skills and qualifications needed to thrive as a geospatial data engineer in a remote role, and why are they important?

To thrive as a Geospatial Data Engineer (Remote), you need a strong background in GIS, geospatial analysis, and computer science, often supported by a related degree and experience with spatial databases. Proficiency with tools like Python, SQL, PostGIS, ArcGIS, and cloud platforms is typically required, along with relevant certifications such as GISP. Excellent problem-solving, communication, and self-management skills are essential for collaborating across distributed teams and delivering results independently. These skills ensure effective management of complex geospatial datasets, seamless integration of spatial data solutions, and success in a remote work environment.

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

AspectGeospatial Data Engineer RemoteGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; experience with GIS software and programmingBachelor's in Geography, GIS, or related field; proficiency in GIS tools
Work EnvironmentRemote, often collaborative with teams across locationsTypically office-based or hybrid; fieldwork possible
Employer & Industry UsageTech companies, government agencies, environmental firmsUrban planning, government, environmental consulting
Common Search & ComparisonOften compared for GIS and data engineering roles in remote settings

The main difference between a Geospatial Data Engineer Remote and a GIS Analyst lies in their focus and skill set. Geospatial Data Engineers primarily develop and maintain data pipelines and infrastructure, often requiring programming skills, while GIS Analysts focus on spatial data analysis and map creation. Both roles may work remotely and share similar educational backgrounds, but their daily tasks and technical expertise differ significantly.

What are popular job titles related to Geospatial Data Engineer Remote jobs in Billerica, MA?

For Geospatial Data Engineer Remote jobs in Billerica, MA, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Engineer Remote jobs in Billerica, MA look for?

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

What cities near Billerica, MA are hiring for Geospatial Data Engineer Remote jobs?

Cities near Billerica, MA with the most Geospatial Data Engineer Remote job openings:

Infographic showing various Geospatial Data Engineer Remote job openings in Billerica, MA as of August 2026, with employment types broken down into 82% Full Time, 8% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $137,755 per year, or $66.2 per hour.

GIS/Geospatial Expert

YO AI Labs

Boston, MA โ€ข Remote

$80 - $100/hr

Full-time

Posted 2 days ago

New


Job description

Job Title: GIS & Geospatial AI Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced GIS and Geospatial Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will provide domain knowledge, document advanced technical workflows, and evaluate AI-generated solutions in real-world geospatial and STEM environments.

The ideal candidate combines strong expertise in GIS, remote sensing, spatial analytics, and Python with hands-on experience using modern AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science.

No prior AI training experience is required. What matters most is your ability to apply AI coding agents to meaningful technical problems, explain your workflows clearly, and evaluate the quality of AI-generated solutions.

Scope of Work
  • Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote sensing, and spatial analytics.
  • Document advanced technical workflows and problem-solving approaches involving AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science.
  • Describe real-world tasks where AI coding agents are used to execute multi-step technical workflows rather than functioning solely as conversational tools.
  • Document project context, tool selection, technical approach, agent-generated sequences, and resulting outcomes.
  • Evaluate and critique AI-generated solutions for sophisticated geospatial challenges, including large codebase navigation, debugging, feature development, automation, and architectural changes.
  • Share real-world examples where ambiguity, scale, data complexity, or technical constraints created unique challenges and explain how AI agents contributed to solving them.
  • Use Python and relevant geospatial tools to support technical analysis and workflow development where appropriate.
  • Collaborate asynchronously with stakeholders to refine technical documentation, evaluation criteria, and guidance materials.
  • Contribute to high-fidelity datasets, evaluations, and benchmarks used for AI training and technical capability assessment.
Required Skills
  • GIS / Geospatial Analysis
  • Remote Sensing
  • Spatial Analytics
  • Python
  • AI Coding Agents
  • Technical Documentation
  • Problem-Solving
  • Analytical Thinking
  • Written and Verbal Communication
  • Stakeholder Collaboration
Preferred Qualifications
  • Demonstrated professional expertise in GIS, remote sensing, spatial analytics, geospatial engineering, or a related STEM discipline.
  • Direct hands-on experience using AI coding agents, particularly Codex, Claude Code, Claude Cowork, or Claude Science, to solve technical problems.
  • Experience applying AI agents to real-world GIS, geospatial, scientific, engineering, or other technical projects.
  • Ability to document complex technical workflows clearly for both technical and non-technical audiences.
  • Experience using AI coding agents for sophisticated tasks such as navigating large codebases, debugging, developing end-to-end features, refactoring, automation, or architectural changes.
  • Experience evaluating AI-generated code or multi-step agent workflows rather than using AI agents solely for conversational assistance.
  • Strong Python programming experience and familiarity with geospatial libraries, APIs, databases, or analytical platforms.
  • Current or recent professional engagement in a technical STEM or geospatial role.
  • Strong analytical mindset and ability to identify technical limitations, ambiguities, edge cases, and opportunities for improvement.
  • Ability to work independently in a remote environment while collaborating effectively with project stakeholders.