2

Geospatial Data Engineer Remote Jobs in Stamford, CT

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Manager, Data Engineer (Remote)

New York, NY ยท Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Manager, Data Engineer (Remote)

New York, NY ยท Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Sales Engineer (Remote)

New York, NY ยท Remote

$100K - $130K/yr

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a remote Sales Engineer to work alongside our AEs, CRO, and the rest of the GTM team.

Data Engineer II (Remote US)

New York, NY ยท Remote

$125K - $150K/yr

Data Engineer II LOCATION: REMOTE- US THE ROLE: We're looking for a Data Engineer II to join Splice's Data Engineering team and help scale the platform that powers creator payouts, revenue reporting ...

New

Growth Engineer (Remote)

New York, NY ยท Remote

$120K - $130K/yr

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a GTM Engineer to build the machinery that gets that message to the people who need it.

Data Engineer-US

New York, NY ยท On-site +1

$125K - $150K/yr

We are seeking a Senior Data Engineer to design, implement, and maintain scalable data pipelines ... Columbia, MO (Hybrid - 1 week in office, 1 week remote) Experience: 4+ years Schedule: Full-time, ...

Growth Engineer (Remote)

New York, NY ยท Remote

$120K - $130K/yr

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a GTM Engineer to build the machinery that gets that message to the people who need it.

Growth Engineer (Remote)

New York, NY ยท On-site +1

$120K - $130K/yr

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a GTM Engineer to build the machinery that gets that message to the people who need it.

AI Data Engineer

New York, NY 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

New York, NY ยท On-site +1

$125K - $150K/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 ...

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated implementations involving ETL pipelines , data ...

next page

Showing results 1-20

Geospatial Data Engineer Remote information

See Stamford, CT salary details

$47.4K

$138.3K

$189.3K

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

As of Aug 22, 2026, the average yearly pay for geospatial data engineer remote in Stamford, CT is $138,313.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,100.00 and $146,600.00 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 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 job categories do people searching Geospatial Data Engineer Remote jobs in Stamford, CT look for?

The top searched job categories for Geospatial Data Engineer Remote jobs in Stamford, CT are:

What cities near Stamford, CT are hiring for Geospatial Data Engineer Remote jobs?

Cities near Stamford, CT with the most Geospatial Data Engineer Remote job openings:

Enterprise GIS Program Manager - 26-10637

Compu-Vision - IT

New York, NY โ€ข On-site, Remote

$40/hr

Full-time

Posted 3 days ago

New


Job description

Enterprise GIS Program Manager

Location: New York, NY
Duration: 12 months
Work Arrangement: Hybrid – 4 days onsite / 1 day remote

Overview

We are seeking an experienced Enterprise GIS Program Manager to provide strategic, technical, and programmatic leadership for enterprise Geographic Information System (GIS) initiatives.

The consultant will support the modernization, integration, governance, and expansion of enterprise geospatial capabilities across multiple business functions and infrastructure environments. This role will lead enterprise GIS strategy, architecture, data management, platform administration, systems integration, analytics, automation, and asset-management initiatives.

The ideal candidate will have extensive experience leading large-scale GIS programs, working with Esri enterprise technologies, managing spatial databases, integrating GIS with enterprise systems, and coordinating multidisciplinary teams and stakeholders.

Key ResponsibilitiesEnterprise GIS Strategy & Program Leadership
  • Develop and implement enterprise GIS strategies, roadmaps, and modernization initiatives.
  • Align GIS initiatives with organizational business and technology objectives.
  • Lead enterprise GIS governance initiatives, including standards, policies, and best practices.
  • Define functional and technical requirements for GIS initiatives.
  • Provide leadership in enterprise GIS architecture and solution design.
  • Develop centralized enterprise geospatial data models and implementation strategies.
  • Coordinate GIS programs involving multiple business units and stakeholders.
  • Manage multiple concurrent GIS initiatives, priorities, and deliverables.
Geospatial Data Management
  • Design and manage enterprise spatial database infrastructure.
  • Develop and maintain centralized GIS data repositories.
  • Implement master data management and spatial data governance practices.
  • Improve geospatial data quality, consistency, interoperability, and accessibility.
  • Develop strategies for CAD-to-GIS conversion and integration.
  • Support utility mapping and infrastructure inventory initiatives.
  • Support asset inspection and infrastructure management programs.
  • Design and implement Linear Referencing Systems (LRS) for transportation and infrastructure assets.
Enterprise GIS Platform Administration
  • Lead deployment, configuration, and administration of enterprise GIS platforms utilizing Esri technologies.
  • Develop cloud-based GIS architectures supporting secure and scalable enterprise services.
  • Implement Common Data Environments (CDE) for geospatial information management.
  • Develop secure enterprise geospatial services for cross-functional collaboration.
  • Recommend improvements to GIS infrastructure, security, performance, and scalability.
  • Establish enterprise GIS administration and operational standards.
Enterprise Systems Integration
  • Lead integration of GIS with Enterprise Asset Management (EAM) platforms such as Infor, IBM Maximo, or comparable solutions.
  • Develop BIM-to-GIS and CAD-to-GIS integration strategies.
  • Support LiDAR, BIM, GIS, and asset-management workflows.
  • Integrate GIS with enterprise applications and technology platforms.
  • Design enterprise integration architectures supporting digital engineering and infrastructure initiatives.
  • Coordinate with application, data, infrastructure, and integration teams to deliver GIS solutions.
GIS Analytics & Decision Support
  • Develop advanced geospatial analytics supporting capital planning and infrastructure investment.
  • Design GIS-enabled business intelligence dashboards using GIS and Power BI.
  • Support spatial analytics and visualization initiatives.
  • Evaluate and implement emerging geospatial technologies and AI-enabled solutions.
  • Develop 3D geospatial visualization products supporting planning, engineering, and asset management.
  • Translate complex geospatial data into actionable business insights.
GIS Automation & Data Engineering
  • Develop enterprise GIS automation workflows utilizing FME Enterprise and related technologies.
  • Design automated ETL processes for enterprise geospatial data integration.
  • Improve GIS data engineering practices and operational workflows.
  • Automate GIS and EAM data synchronization processes.
  • Develop repeatable and scalable data-processing solutions.
  • Establish standards for GIS data transformation and integration.
Asset Management & Infrastructure Applications
  • Support enterprise asset lifecycle management using GIS technologies.
  • Develop and maintain utility network mapping and infrastructure asset inventories.
  • Support transportation and infrastructure asset-management initiatives.
  • Develop spatial asset-management solutions supporting capital investment planning.
  • Support GIS-enabled operational awareness and infrastructure-management applications.
  • Integrate geospatial information with engineering and asset-management workflows.
Technical Advisory Services
  • Provide expert guidance on enterprise GIS technologies, architecture, and industry best practices.
  • Evaluate emerging geospatial technologies and recommend appropriate implementation strategies.
  • Prepare technical documentation, implementation plans, standards, and architecture documentation.
  • Coordinate with engineering, information technology, operations, and consulting teams.
  • Provide technical recommendations to leadership and stakeholders.
  • Support additional GIS-related initiatives as required.
Minimum Qualifications
  • Bachelor's degree in GIS, Geography, Civil Engineering, Computer Science, Information Systems, or a related discipline.
  • Minimum 10 years of progressively responsible experience leading enterprise GIS programs.
  • Demonstrated experience developing enterprise GIS strategies, governance frameworks, and implementation roadmaps.
  • Extensive experience with Esri Enterprise technologies and enterprise GIS architecture.
  • Experience designing and managing enterprise spatial databases.
  • Experience developing and implementing geospatial data governance programs.
  • Experience integrating GIS with Enterprise Asset Management (EAM) systems such as Infor, Maximo, or comparable platforms.
  • Experience working with BIM, CAD, LiDAR, and enterprise systems integration.
  • Strong knowledge of GIS cloud architecture and enterprise integration technologies.
  • Excellent written and verbal communication skills.
  • Experience presenting complex technical information to executive leadership.
  • Proven ability to lead multidisciplinary technical teams.
  • Ability to manage multiple concurrent programs and initiatives.
Preferred Qualifications
  • Master's degree in GIS, Engineering, Information Systems, or a related field.
  • Esri Enterprise Administration, ArcGIS Professional, or equivalent GIS certifications.
  • Experience implementing FME Enterprise automation.
  • Experience integrating GIS with Power BI, Bentley, PeopleSoft, and enterprise middleware platforms.
  • Experience supporting transportation, aviation, marine, rail, roadway, bridge, or other large-scale infrastructure environments.
  • Experience implementing Common Data Environments (CDE).
  • Knowledge of AI-enabled geospatial analytics platforms.
  • Experience supporting enterprise digital transformation and infrastructure modernization initiatives.
  • Experience with large-scale capital programs and infrastructure asset management.
Core Technical Skills
  • Enterprise GIS Architecture
  • Esri ArcGIS Enterprise
  • GIS Strategy & Governance
  • Spatial Database Architecture
  • Geospatial Data Management
  • Data Governance & Master Data Management
  • CAD-to-GIS Integration
  • BIM-to-GIS Integration
  • LiDAR & 3D GIS
  • Linear Referencing Systems (LRS)
  • Enterprise Asset Management (EAM)
  • Infor / IBM Maximo
  • FME Enterprise
  • GIS ETL & Data Engineering
  • GIS Cloud Architecture
  • GIS Systems Integration
  • Power BI & Geospatial Analytics
  • Common Data Environments (CDE)
  • GIS Automation
  • Infrastructure Asset Management
  • Enterprise Architecture
  • Program & Stakeholder Management
  • Technical Leadership
  • Digital Transformation