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Remote Spatial Analysis Jobs (NOW HIRING)

Next Generation, Inc.

GIS Analyst/Engineer

New York, NY · On-site +1

$80 - $120/hr

This position is hybrid, with up to one remote day per week. Job Responsibilities: * Develop ... Stay current with emerging GIS technologies, programming languages, and spatial analysis methods.

Tetra Tech

Senior CAD/GIS Analyst

Orlando, FL · On-site +1

Perform spatial analysis and data visualization to support engineering, planning, and asset ... Experience working with LiDAR, aerial imagery, GPS data collection, or remote sensing datasets.

RE/SPEC Inc.

Associate GIS Consultant

Saint Paul, MN · Remote

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... You can independently manage GIS tasks, including dataset design, spatial analysis using vector and ...

RE/SPEC Inc.

Associate GIS Consultant

Albuquerque, NM · Remote

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... You can independently manage GIS tasks, including dataset design, spatial analysis using vector and ...

RE/SPEC Inc.

Associate GIS Consultant

Albuquerque, NM · Remote

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... You can independently manage GIS tasks, including dataset design, spatial analysis using vector and ...

RE/SPEC Inc.

Associate GIS Consultant

Denver, CO · Remote

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... You can independently manage GIS tasks, including dataset design, spatial analysis using vector and ...

RE/SPEC Inc.

Associate GIS Consultant

Albuquerque, NM · Remote

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... You can independently manage GIS tasks, including dataset design, spatial analysis using vector and ...

Apply Early

RE/SPEC Inc.

Associate GIS Consultant

Albuquerque, NM · Remote

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... You can independently manage GIS tasks, including dataset design, spatial analysis using vector and ...

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Remote Spatial Analysis information

What are the key skills and qualifications needed to thrive as a Remote Spatial Analyst, and why are they important?

To thrive as a Remote Spatial Analyst, you need a strong background in geography, GIS, remote sensing, and data analysis, often supported by a relevant degree. Proficiency with GIS software (like ArcGIS or QGIS), remote sensing platforms, and scripting languages such as Python or R is typically required. Analytical thinking, attention to detail, and effective communication are essential soft skills that set top performers apart. These competencies are critical for accurately interpreting spatial data, delivering actionable insights, and collaborating effectively with multidisciplinary teams.

What are some common challenges faced by professionals in remote spatial analysis roles, and how can they be addressed?

Remote spatial analysts often face challenges related to data accessibility, communication across distributed teams, and ensuring data security. Working with large geospatial datasets remotely can require advanced data management tools and reliable internet connections. Effective collaboration with colleagues in different locations is crucial, so leveraging cloud-based GIS platforms and regular virtual meetings can help maintain project momentum. Staying up to date with the latest remote sensing technologies and best practices also helps overcome technical obstacles and enhances productivity.

What is remote spatial analysis?

Remote spatial analysis refers to the process of examining and interpreting spatial data collected from a distance, often using technologies such as satellite imagery, aerial photography, and geographic information systems (GIS). Professionals in this field use specialized software to analyze patterns, changes, and relationships in the data to support decision-making in fields such as environmental science, urban planning, agriculture, and disaster management. Remote spatial analysis enables organizations to monitor large or inaccessible areas, identify trends, and make data-driven decisions without being physically present at the location of interest.

What is the difference between Remote Spatial Analysis vs Remote GIS Specialist?

AspectRemote Spatial AnalysisRemote GIS Specialist
CredentialsDegree in Geography, GIS, or related field; certifications like GISPSimilar credentials; often holds GIS certifications
Work EnvironmentData analysis, modeling, and interpretation primarily using GIS softwareData management, map creation, and spatial data handling
Industry UsageUsed across urban planning, environmental science, transportationCommon in government agencies, environmental firms, utilities
Search & Comparison IntentUnderstanding analysis techniques and data interpretationFocus on map creation and spatial data management

Remote Spatial Analysis involves analyzing spatial data to derive insights, often focusing on modeling and data interpretation. Remote GIS Specialist emphasizes managing spatial data, creating maps, and maintaining GIS databases. While both roles require similar credentials and work environments, their core tasks differ: analysis versus data management. Understanding these distinctions helps job seekers target the right roles in the GIS industry.

More about Remote Spatial Analysis jobs
What cities are hiring for Remote Spatial Analysis jobs? Cities with the most Remote Spatial Analysis job openings:
What are the most commonly searched types of Spatial Analysis jobs? The most popular types of Spatial Analysis jobs are:
What states have the most Remote Spatial Analysis jobs? States with the most job openings for Remote Spatial Analysis jobs include:
What job categories do people searching Remote Spatial Analysis jobs look for? The top searched job categories for Remote Spatial Analysis jobs are:
Remote Spatial Analysis jobs near you
Infographic showing various Remote Spatial Analysis job openings in the United States as of July 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% Remote job distribution.
Senior Software Engineer - Spatial Analytics & Open Formats

Senior Software Engineer - Spatial Analytics & Open Formats

Carto

Spain, SD • Remote

$100K - $131K/yr

Full-time

Medical

Posted 9 days ago

Job description

Everything happens somewhere - which is why spatial analytics is fundamental to companies trying to understand the "where" and the "why" of their business. CARTO is the world's leading cloud-native spatial analysis platform, trusted by data scientists, analysts, and developers from global brands like IKEA, Coca-Cola, T-Mobile, Swiss Re, and AXA to run scalable spatial analysis directly on their cloud data warehouses and lakehouses.
Built by a diverse team of over 150 people across the US, APAC, and Europe (backed by Insight Partners, Accel Partners, Salesforce Ventures, and Earlybird Ventures), CARTO is fundamentally changing how location data is analyzed - making it an integrated, accessible, AI-native part of modern data infrastructure.

The role
Spatial analytics is moving out of the GIS silo. It's moving into the warehouse, then into the lakehouse, then into Iceberg and open formats, and increasingly into agentic workflows where the consumer is no longer always a human. We're looking for an engineer who has been part of building that shift, to come help us lead where it goes next at CARTO.
This role sits across CARTO's Analytics Toolbox and Workflows - the two surfaces through which our spatial analytics runs on partner engines (BigQuery, Snowflake, Redshift, Databricks, Postgres, Oracle) and, increasingly, on open formats consumed by external agents and applications. You'll define how the Toolbox framework evolves, how analytics capabilities are deployed across heterogeneous engines, and how CARTO plugs into the cloud-native geospatial stack - GeoParquet, STAC, Arrow, Iceberg, RaQuet, and what comes next.
We don't think of this as a feature-shipping role. We think of it as a vision-and-execution role: someone who can write the strategy doc and own the PR that proves it works.

Where you'd sit
You'd work alongside the Workflows team (backend, frontend, data engineering, QA - six people today, growing) and the broader Spatial Analytics group, with significant scope to shape the technical direction of both.
This is a remote-first role open to candidates based anywhere in EU or USA. 
  • The Analytics Toolbox framework. Shape how spatial analytics is packaged, versioned, and pushed down into partner engines - and what it looks like when the consumer is an LLM agent, not a UI.
  • Partner-engine SQL strategy. Every engine has its own dialect, optimizer, and idioms. You'll set the direction for how CARTO writes once and runs everywhere, without losing warehouse-native performance.
  • The Iceberg / open-format play. CARTO organized the 2021 meeting with BigQuery, Snowflake, Redshift, and Oracle that catalyzed GeoParquet, and authored RaQuet for raster in Parquet. Iceberg is next. You'll define what spatial-first Iceberg looks like - for CARTO and for the ecosystem.
  • Community and standards presence. This work happens in the open. OGC working groups, the Cloud Native Geospatial community, FOSS4G, conference talks, RFCs. You'll represent CARTO externally and help move the standards forward.
  • AI as a native execution surface. Agentic GIS is where we're going. The Toolbox isn't just a SQL library - it's the substrate AI agents call into. You'll help define that interface.

  • You've spent a serious chunk of your career in the cloud-native geospatial world. You've built with - and ideally helped shape - some combination of DuckDB, GeoParquet, STAC, Arrow, Iceberg, point cloud formats, MobilityDB, or similar. You don't just use these tools; you have opinions about where they're going.
  • You know SQL at the engine level. You can read an execution plan across BigQuery, Snowflake, Redshift, and Databricks, and you have a clear view on what each one does well and badly for spatial workloads - partitioning, clustering, file pruning, pushdown, cost.
  • You build with AI seriously. You've shipped LLM-powered features in production, you've worked with agentic patterns, and you have a point of view on what this changes for analytics.
  • You're visible in the community - a FOSS4G or CNG talk, a maintained OSS project, a standards working group, a blog post people keep citing. Not vanity; this is how the role gets done.
  • You're a low-ego technical leader. You set direction by being right and being persuasive, not by being loud. You give direct feedback in PRs, ask good questions when you don't know something, and make the engineers around you better.
  • You're comfortable shipping production code - this isn't an architect-only role - in a cloud-native, serverless environment (GCP or AWS). TypeScript / Node.js experience is a plus since that's our backend, but it isn't the primary signal we're hiring on.

  • Compensation based on experience, discussed transparently during the process plus an annual bonus of up to 10% based on company objectives
  • Contribute to a platform used by top companies around the world. Your work will have a direct impact on our users and clients
  • Access to our Employee Stock Options Plan
  • Private Medical Insurance
  • Flexible compensation
  • Education stipend
  • Remote work stipend
  • English classes

Apply