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Geospatial Data Engineer Remote Jobs in Massachusetts

FortifyIQ

Data & AI Engineer (Remote)

Salem, MA · Remote

$125K - $150K/yr

We're seeking a Data & AI Engineer to develop intelligent data pipelines and analytics solutions that power smarter decisions across silicon design, verification, and manufacturing. You'll transform ...

Turing IT Labs

Data Engineer - Markit EDM

Boston, MA · On-site

$124K - $149K/yr

Senior Data Engineer Location: [Location(s) / Remote] Boston, MA (Hybrid) Employment Type: [Full-time /Contract] Contract Duration: 6 months Company Overview Trianz is an applied AI solutions company ...

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 ...

MFS Investment Management

Sr. Data Engineer

Boston, MA · On-site

$10K/mo

THE ROLE The Sr. Data Engineer will play a critical role in enhancing and maintaining a data ... MFS is a hybrid work environment (remote/onsite) unless otherwise stated in the job posting. If any ...

thg

PL Ops - Data Engineer (Worcester or Remote)

Worcester, MA · Remote

$114K - $137K/yr

Our Personal Lines Operations team is currently seeking a Data Engineer II in our Worcester office. This is a full-time, exempt role. Fully remote arrangement will be considered for candidates with ...

thg

PL Ops - Data Engineer (Worcester or Remote)

Worcester, MA · Remote

$114K - $137K/yr

Our Personal Lines Operations team is currently seeking a Data Engineer II in our Worcester office. This is a full-time, exempt role. Fully remote arrangement will be considered for candidates with ...

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 ...

Foley

Staff Data Engineer

Boston, MA · Remote

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

Kalderos

Sr. Data Engineer

Boston, MA · On-site +1

$145K - $170K/yr

We are looking for a collaborative Senior Data Engineer . You have a strong inclination to work in ... New employee home office setup reimbursement This role can be remote in the United States or hybrid ...

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 ...

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All JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in Massachusetts

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
Infographic showing various Geospatial Data Engineer Remote job openings in Massachusetts as of June 2026, with employment types broken down into 4% Internship, 7% As Needed, 44% Full Time, 19% Part Time, 7% Temporary, and 19% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution.
Data & AI Engineer (Remote)

Data & AI Engineer (Remote)

FortifyIQ

Salem, MA • Remote

$125K - $150K/yr

Full-time

Posted 21 days ago

Job description

We're seeking a Data & AI Engineer to develop intelligent data pipelines and analytics solutions that power smarter decisions across silicon design, verification, and manufacturing. You'll transform engineering data into actionable insights through automation, modeling, and visualization.

Responsibilities

  • Build and maintain data pipelines to support machine learning and analytics workflows.
  • Collect, clean, and transform large, complex datasets from engineering environments.
  • Develop and train predictive models for yield, performance, and anomaly detection.
  • Automate recurring data analysis tasks and integrate models into engineering processes.
  • Collaborate with design and software teams to embed AI-driven insights into products.
  • Create dashboards and visualization tools for reporting and decision-making.
  • Document code, models, and processes for transparency and reproducibility.

Qualifications

  • Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Strong skills in data manipulation (Pandas, NumPy, SQL).
  • Experience with workflow orchestration (Airflow, Spark, or similar).
  • 3–5 years of experience in data engineering or applied AI.
  • Bachelor's degree in Electrical Engineering, Computer Science, or related field.

Preferred / Plus

  • Familiarity with semiconductor design, verification, or manufacturing datasets.
  • Understanding of statistical modeling and predictive maintenance.
  • Experience with cloud environments (AWS, Azure, GCP) and version control (Git).
  • Knowledge of MLOps principles (deployment, monitoring, CI/CD).