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Geospatial Data Engineer Remote Jobs in Quincy, MA

Data Engineer (Remote)

Canton, MA ยท 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 ...

Data Engineer (Remote)

Canton, MA ยท 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 ...

Data Engineer

Burlington, MA ยท Remote

$145K - $180K/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 ...

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 ...

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 ...

Data Engineer with AI - Remote

Boston, MA ยท 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 ...

Senior Data Engineer

Boston, MA ยท Remote

$115K - $151K/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 ...

Senior Data Engineer

Boston, MA ยท Remote

$115K - $156K/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 ...

Data Architect (Remote)

Boston, MA ยท 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 ...

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 ...

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 ...

Senior Data Engineer

Boston, MA ยท Remote

$140K - $180K/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 ...

Senior Data Engineer

Boston, MA ยท Remote

$115K - $156K/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 ...

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Geospatial Data Engineer Remote information

See Quincy, MA salary details

$46.8K

$136.4K

$186.6K

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

As of Jul 29, 2026, the average yearly pay for geospatial data engineer remote in Quincy, MA is $136,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,400.00 and $144,600.00 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 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 popular job titles related to Geospatial Data Engineer Remote jobs in Quincy, MA? For Geospatial Data Engineer Remote jobs in Quincy, MA, the most frequently searched job titles are:
What cities near Quincy, MA are hiring for Geospatial Data Engineer Remote jobs? Cities near Quincy, MA with the most Geospatial Data Engineer Remote job openings:
Data Engineer (remote)

Data Engineer (remote)

Human Services Research Institute

Cambridge, MA โ€ข Remote

$82K - $122K/yr

Full-time

Medical, Dental, Life, Retirement

Posted yesterday


Job description

Human Services Research Institute (HSRI) is seeking a full-time Data Engineer. The Data Engineer will support the growth of leading-edge health and human service data projects that use data to transform care across the nation. This role is responsible for working simultaneously on more than one project within a team that includes technical experts, data engineers, data scientists, research associates, project managers, and subject matter experts โ€“ to achieve project goals and deliverables. 


The Data Engineer is responsible for designing, building, and optimizing scalable data solutions that support organizational analytics, reporting, and data quality initiatives. This role works independently on complex data engineering tasks and owns end-to-end data pipelines, integrations, and performance optimization using SQL, Python, and Microsoft Azure technologies.


Who We Are 

HSRI is a nonprofit organization that conducts research and evaluation to improve health and human service systems. We work at the local, state, and federal levels. Our goal is to help public agencies understand and demonstrate the real-world impact of the services they provide, helping them transform their policies and practices to address root causes of disparities and improve health outcomes. 


Our teams have an unwavering commitment to envisioning equitable policies and solutions that create a stronger society for us all. HSRI is an equal opportunity employer and is committed to building a diverse team, bringing as many possible perspectives as possible to bear on services that can profoundly affect peopleโ€™s health and well-being by addressing social determinants of health. We are committed to building an inclusive environment where people of all backgrounds can come to do their best work.


What Weโ€™re Looking For

HSRI is looking for an individual who thrives in a fast-paced environment, works collaboratively, and respectfully engages with diverse perspectives. The ideal candidate can build trusted relationships with internal teams, clients, community organizations, and other partners; understand their goals and challenges; recommend practical solutions; and partner with internal teams to deliver high-quality results on time and within budget.

 

Responsibilities

  • Design, develop, and maintain scalable data pipelines and automation workflows
  • Own and optimize ETL/ELT processes using SQL, Python, and Azure data technologies
  • Develop and maintain REST APIs and other data integration mechanisms
  • Integrate new and external data sources into production data environments
  • Monitor, test, and optimize data systems for performance and reliability
  • Define and implement data quality checks and reporting frameworks
  • Design and maintain dashboards, scorecards, and reports
  • Collaborate with cross-functional teams to improve data systems
  • Mentor Associate Data Engineers
  • Attend staff, team, and other required meetings and trainings

 

Minimum Qualifications

  • Bachelorโ€™s degree in computer science, information systems, or related field (or equivalent experience)
  • 3โ€“5 years of experience in data engineering or related roles
  • Strong proficiency in SQL and Python
  • Experience with Azure data services and data pipeline design
  • Experience building and optimizing data pipelines, architectures, and datasets
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Excellent attention to detail
  • Awareness of DevOps and Agile principles
  • Intermediate to advanced expertise with RESTful APIs, XML, JSON, C#, JavaScript, jQuery, and Azure Data Factory
  • Promote teamwork and team-building

 

Location 

This is a remote position with an option to work from our Cambridge, MA, office, which is accessible by public transportation. HSRI does not permit remote work arrangements based in the U.S. Virgin Islands, Puerto Rico, and outside the United States. Must have unrestricted authorization to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa.

 

Hours

  • Full-time, Monday-Friday, 40 hours per week
  • This position allows flexibility in core hours 


Additional Information

HSRI offers a comprehensive benefits package which includes: 

  • Health 
  • Dental 
  • Short- and long-term disability 
  • Life Insurance 
  • 403(b) retirement plan 
  • Flexible spending accounts 
  • Education assistance program
  • 10 paid holidays
  • Remote work stipends (e.g., home office improvements, internet/mobile services) 


Salary Range

$82,100-$122,150

Pay is commensurate with skills and experience. 

HSRI is committed to pay equity in providing employees with equal pay for equal work and carefully considers a wide range of compensation factors, including, but not limited to, prior experience, education, certification(s), license(s), skills, expertise, location, internal equity, and other factors that are job-related and consistent with the organizationโ€™s needs. Our offer of employment takes into consideration total compensation, including benefits.

For more information on HSRI, please visit www.hsri.org.

How to Apply 

Interested candidates are encouraged to submit a cover letter and resume/CV through HSRIโ€™s Career Center. 

You can copy/paste the URL into your browser: https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=9199cf31-c52e-4b8f-b6c1-bfd2a6cce9e0&ccId=9201183405653_2&type=JS&lang=en_US&selectedMenuKey=CareerCenter

You can also mail materials to:  

Attention: Human Resources 

Human Services Research Institute 

2336 Massachusetts Ave. 

Cambridge, MA 02140 

No phone calls or email inquiries, please.