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Geospatial Data Engineer Remote Jobs in Boston, MA

Mondo

Data Product Manager

Marlborough, MA · Remote

$50 - $65/hr

Remote (Preference for candidates local to Marlborough, MA) Start Date Is: ASAP Duration: 6-month ... Partner with data engineering and data science teams to deliver scalable data solutions.

Mondo

Data Product Manager

Marlborough, MA · Remote

$50 - $65/hr

Remote (Preference for candidates local to Marlborough, MA) Start Date Is: ASAP Duration: 6-month ... Partner with data engineering and data science teams to deliver scalable data solutions.

Motorola

Senior DevOps Engineer (US REMOTE)

Waltham, MA · Remote

$140K - $170K/yr

The solutions we create apply exciting technologies such as geospatial visualization and analytics ... Government Contract Mandates and access to sensitive public safety data. * Experience with ...

Later

Senior Security Engineer

Boston, MA · On-site +1

$124K - $170K/yr

Senior Security Engineer Remote, United States About this position: We're looking for a Senior ... We leverage data from trusted third-party compensation sources to help us understand the market ...

Tiger Analytics Inc.

Data Architect

Westwood, MA · Remote

$71.25 - $91.75/hr

... remote global workforce. If you are passionate about leading large-scale cloud and data ... Partner with product owners, domain architects, and data engineering teams to translate business ...

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All JobsGeospatial Data Engineer JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in Boston, MA

Geospatial Data Engineer Remote information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

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

As of Jul 20, 2026, the average yearly pay for geospatial data engineer remote in Boston, MA is $140,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $149,400.00 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 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 are popular job titles related to Geospatial Data Engineer Remote jobs in Boston, MA? For Geospatial Data Engineer Remote jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Boston, MA look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Boston, MA are:
What cities near Boston, MA are hiring for Geospatial Data Engineer Remote jobs? Cities near Boston, MA 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 Boston, MA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $140,924 per year, or $67.8 per hour.
Data Product Manager

Data Product Manager

Mondo

Marlborough, MA • Remote

$50 - $65/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 13 days ago

Job description

Apply now: Merchandise Data Product Manager, location is Remote. The start date is ASAP for this 6-month contract position.

Job Title: Merchandise Data Product Manager
Location-Type: Remote (Preference for candidates local to Marlborough, MA)
Start Date Is: ASAP
Duration: 6-month contract (with possibility of extensions/conversion)
Compensation Range: $50-$65/hour W2
Benefits: Eligible for Health, Dental, Vision, 401K
Must be authorized to work in the U.S. This position is not eligible for sponsorship.

Job Description:
We're seeking an experienced Merchandise Data Product Manager to drive the strategy and roadmap for merchandising data products that support pricing, promotions, inventory optimization, and product performance. This role will partner closely with business stakeholders, data engineering, and data science teams to ensure data solutions deliver measurable business value.

Day-to-Day Responsibilities:

  • Own the product strategy and roadmap for merchandising data products.
  • Translate business requirements into data, metrics, and reporting requirements.
  • Prioritize and maintain a healthy Agile product backlog.
  • Partner with data engineering and data science teams to deliver scalable data solutions.
  • Collaborate with merchandising and operations stakeholders to identify opportunities for business value.
  • Define success metrics and ensure delivered solutions meet business expectations.
  • Drive sprint planning, backlog refinement, and stakeholder communication.
  • Support initiatives focused on pricing, promotions, assortment, inventory, and in-stock optimization.

Requirements:

Minimum Requirements:

  • 5 years of Product Management experience supporting data products.
  • Strong expertise in retail merchandising and merchandising operations.
  • Experience translating complex business requirements into data requirements, metrics, and actionable insights.
  • Experience partnering with data engineering teams to deliver data products.
  • Strong stakeholder management and communication skills.
  • Experience working in Agile/Scrum environments, including backlog management, sprint planning, and prioritization.
  • Ability to balance strategic thinking with hands-on execution.
  • Proven ability to prioritize initiatives that maximize business value.

Preferred Qualifications:

  • Experience with Databricks.
  • Experience using Jira.
  • Exposure to GenAI initiatives or AI-enabled data platforms.
  • Experience partnering with data science teams.
  • Experience improving inventory, pricing, promotional, or merchandising analytics.