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Geospatial Data Engineer Remote Jobs in Massachusetts

Turing

Geospatial Analyst - 51201

Boston, MA · Remote

Forecasting and modeling involving geospatial data * Educational background in Geography, GIS, Remote Sensing, Environmental Science, or related disciplines (preferred but not required)

The Phia Group

Data Engineer (Remote)

Canton, MA · On-site +1

$121K - $145K/yr

The Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and analytics-ready datasets. You will be collaborating across multiple teams and ...

The Phia Group

Data Engineer (Remote)

Louisville, KY · On-site +1

$110K - $132K/yr

The Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and analytics-ready datasets. You will be collaborating across multiple teams and ...

C the Signs

AI Data Engineer

Boston, MA · 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 ...

C the Signs

AI Data Engineer

Boston, MA · 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 ...

Lorven Technologies

Data Engineer with AI - Remote

Boston, MA · On-site +1

$124K - $149K/yr

Our client seeks an Data Engineer + AI for a 12 Months project in Boston, MA. Below is the detailed requirement Job Title: Data Engineer + AI Work location : Boston, MA Duration: 12 Months Job ...

Axiom

Data Architect (Remote)

Boston, MA · On-site +1

$69.25 - $89/hr

Data Architect 1 - US Remote About Axiom: As the leading alternative legal services provider ... The Data Architect directly manages the Data Engineer and operates in close coordination with the ...

NAVA Software Solutions

AI Engineer - Remote

Boston, MA · On-site +1

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 ...

thg

Senior Data Protection Engineer (REMOTE)

Worcester, MA · Remote

$114K - $156K/yr

We are seeking a highly skilled Senior Data Protection Engineer to join our IT Security organization in Worcester, MA or in a remote capacity. POSITION SUMMARY: In this role, you will provide subject ...

thg

Senior Data Protection Engineer (REMOTE)

Worcester, MA · Remote

$114K - $156K/yr

We are seeking a highly skilled Senior Data Protection Engineer to join our IT Security organization in Worcester, MA or in a remote capacity. POSITION SUMMARY: In this role, you will provide subject ...

Quantiphi, Inc.

Architect Data Engineer

Boston, MA · On-site +1

Architect Data Engineer - AI Platforms Experience Level: 10+ yrs Work Location ... US East/Canada (Remote) Role Overview: Lead the architectural vision for a next-generation data ...

Troutman Pepper

Senior Data Engineer

Boston, MA · Remote

$115K - $156K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Lennar

Lead Machine Learning Engineer - REMOTE

Boston, MA · Remote

$111K - $146K/yr

Mentor data scientists and engineers on production ML practices, code review their platform ... Remote work schedule, with a preference for candidates based in Miami, FL; Bentonville, AR; or ...

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Geospatial Data Engineer Remote information

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 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 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 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 Geospatial Data Engineer Remote jobs in Massachusetts? For Geospatial Data Engineer Remote jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Massachusetts look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Massachusetts are:
What cities in Massachusetts are hiring for Geospatial Data Engineer Remote jobs? Cities in Massachusetts with the most Geospatial Data Engineer Remote job openings:
Geospatial Data Engineer Remote jobs near you
Geospatial Analyst - 51201

Geospatial Analyst - 51201

Turing

Boston, MA • Remote

Full-time

Medical, PTO

Posted 27 days ago

Job description

1 day ago Be among the first 25 applicants

We’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, you’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 You’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 world’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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