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Spatial Analyzer Jobs (NOW HIRING)

Metrologist

Bethesda, MD

$100K - $130K/yr

Calibrate equipment then measure item geometry and spatial relationships. This includes small and large-scale items requiring dimension and tolerance analysis to determine accuracy. Shall restrain ...

Responds to ad-hoc spatial data or analysis requests * Trains other team members on spatial data model and processes as needed * Participates in agile teams, collects/reviews user stories, extracts ...

Responds to ad-hoc spatial data or analysis requests * Trains other team members on spatial data model and processes as needed * Participates in agile teams, collects/reviews user stories, extracts ...

We are seeking a skilled GIS Analyst to manage and analyze spatial data to support decision-making processes. The ideal candidate will have at least 5 years of professional experience, a bachelor ...

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Spatial Analyzer information

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How much do spatial analyzer jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for spatial analyzer in the United States is $27.78, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $31.73 per hour, depending on experience, location, and employer.

What are the typical challenges faced by a Spatial Analyzer when working with large and complex datasets?

Spatial Analyzers often work with massive geospatial datasets that require careful organization, quality control, and advanced analytical techniques. One common challenge is ensuring data accuracy and consistency across multiple sources, which may involve cleaning and standardizing data formats. Additionally, handling the computational demands of processing and visualizing large datasets can require familiarity with specialized GIS software and high-performance computing resources. Collaborating with other team members, such as GIS technicians and project managers, is essential to ensure that analyses align with project goals and client needs.

What is a Spatial Analyzer?

A Spatial Analyzer is a professional who uses specialized software and measurement tools to analyze, model, and interpret spatial data, often for purposes such as surveying, construction, manufacturing, or scientific research. They work with three-dimensional data to ensure accuracy in positioning and alignment of objects or structures. Spatial Analyzers help industries maintain quality control and optimize processes by providing precise spatial measurements and analysis. Their work often involves using laser trackers, coordinate measuring machines (CMMs), and other advanced metrology technologies.

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

To thrive as a Spatial Analyzer, you need strong analytical skills in spatial data interpretation, a background in geography or related fields, and proficiency in spatial statistics. Familiarity with GIS software (such as ArcGIS or QGIS), spatial databases, and possibly certifications like GISP are typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for this role. These skills enable accurate spatial analysis, clear data visualization, and actionable insights that support informed decision-making in various industries.

What is the difference between Spatial Analyzer vs Geospatial Technician?

AspectSpatial AnalyzerGeospatial Technician
Required CredentialsGIS or surveying certifications, technical trainingGIS certifications, associate degree or technical training
Work EnvironmentSurveying sites, GIS offices, construction projectsGIS labs, field data collection, mapping projects
Industry UsageSurveying, civil engineering, constructionUrban planning, environmental management, mapping

While both roles involve GIS and spatial data, Spatial Analyzer focuses on advanced data analysis and surveying applications, often requiring specialized certifications. Geospatial Technicians primarily handle data collection, mapping, and basic analysis. The roles overlap in industry and work environment but differ in technical complexity and responsibilities.

More about Spatial Analyzer jobs
What cities are hiring for Spatial Analyzer jobs? Cities with the most Spatial Analyzer job openings:
What states have the most Spatial Analyzer jobs? States with the most job openings for Spatial Analyzer jobs include:
Infographic showing various Spatial Analyzer job openings in the United States as of June 2026, with employment types broken down into 72% Full Time, 26% Part Time, 1% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $57,790 per year, or $27.8 per hour.
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 23 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