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Geospatial Ai Jobs in Utah (NOW HIRING)

Senior Data Engineer

South Jordan, UT ยท On-site

$100K - $137K/yr

Onboard new geospatial datasets into our systems: imagery, parcels, extracted polygons, and build ETL pipelines to automate these processes * Manage the interface between our AI systems and the input ...

The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...

The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...

The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...

The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...

The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... AI applications. * Actively engage with diverse stakeholders to ensure that solutions are well ...

We put powerful aerial imagery, AI-driven analytics, and geospatial tools into the hands of the people who plan, build, insure, and govern the places we all live and work. Our technology turns ...

We put powerful aerial imagery, AI-driven analytics, and geospatial tools into the hands of the people who plan, build, insure, and govern the places we all live and work. Our technology turns ...

We put powerful aerial imagery, AI-driven analytics, and geospatial tools into the hands of the people who plan, build, insure, and govern the places we all live and work. Our technology turns ...

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Geospatial Ai information

What are the key skills and qualifications needed to thrive as a geospatial AI specialist, and why are they important?

To thrive as a Geospatial AI Specialist, you need a strong background in geospatial analysis, machine learning, and programming (often with Python or R), typically supported by a degree in geography, computer science, or a related field. Familiarity with GIS platforms (such as ArcGIS or QGIS), remote sensing software, and AI/ML frameworks like TensorFlow or PyTorch is essential. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting complex data and collaborating with multidisciplinary teams. These competencies are crucial to develop innovative geospatial solutions that drive decision-making across sectors like urban planning, environmental monitoring, and logistics.

What is the difference between Geospatial Ai vs GIS Analyst?

AspectGeospatial AiGIS Analyst
Required CredentialsDegree in GIS, Computer Science, or related; experience with AI/ML toolsDegree in Geography, GIS, or related; proficiency in GIS software
Work EnvironmentTech-focused, data science teams, field data collectionOffice-based, mapping, spatial data analysis
Industry UsageTech companies, AI-driven mapping, autonomous systemsGovernment, urban planning, environmental management
Search & Comparison IntentFocus on AI applications in geospatial dataFocus on traditional spatial data analysis

Geospatial Ai combines artificial intelligence techniques with geospatial data analysis, often involving machine learning and data modeling. GIS Analysts primarily focus on mapping, spatial data management, and traditional geographic information systems. While both roles work with spatial data, Geospatial Ai emphasizes AI-driven insights, whereas GIS Analysts concentrate on spatial data visualization and analysis using GIS software.

How do geospatial AI professionals typically collaborate with other teams to deliver actionable insights?

Geospatial AI professionals often work closely with data scientists, GIS analysts, software engineers, and domain experts to develop, validate, and deploy spatial models. Collaboration usually involves integrating spatial data with machine learning algorithms, ensuring data quality, and tailoring outputs to meet the needs of end users such as urban planners or environmental scientists. Regular meetings, shared project management tools, and cross-functional workshops are common, fostering a collaborative environment that accelerates problem-solving and innovation.
What are popular job titles related to Geospatial Ai jobs in Utah? For Geospatial Ai jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Geospatial Ai jobs? Cities in Utah with the most Geospatial Ai job openings:
Infographic showing various Geospatial Ai job openings in Utah as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Senior Data Engineer

Arturo

South Jordan, UT โ€ข On-site

$100K - $137K/yr

Full-time

Re-posted 26 days ago


Job description


What you'll do:
  • Onboard new geospatial datasets into our systems: imagery, parcels, extracted polygons, and build ETL pipelines to automate these processes
  • Manage the interface between our AI systems and the input data they need to operate via streaming systems, storage systems, and caching systems
  • Be aware of, and manage 3rd party provider rate limits, and architect our systems to gracefully deal with these limits while maximizing our throughput
  • Participate in an agile product development process, where collaboration with stakeholders is a vital step to building what is needed
  • Challenge and be challenged on a diverse, collaborative, and brilliant team
  • Write automated test suites to ensure the quality of your code
  • Contribute to open-source geospatial software
  • Build solutions that enable new products -- typically involving large scale or intricate geospatial techniques
  • Build-in system quality from the beginning by writing unit & integration tests and integrating with logging, metrics, and observability systems

Requirements
What you bring:
  • Good to Expert level understanding of geospatial systems, concepts, patterns, and software, including both legacy formats and software, as well as the hottest newest open-source packages and tools
  • Professional experience writing production-ready Python code that leverages modern software development best practices (automated testing, CICD, observability)
  • Experience working on a team of developers, maintaining a shared codebase, and having your code reviewed before merging
  • Strong DB Expertise in an Amazon environment (RDS, Postgres, and DynamoDB)
  • Strong ETL Experience (especially in extraction and ingestion of 3rd party data)

Nice-to-haves:
  • Familiarity with machine learning concepts
  • Familiarity with asynchronous programming

Benefits
Key competencies at Arturo:
  • Willingness to learn - You have an insatiable desire to continue growing, a fearless approach to the unknown, and love a challenge
  • Teamwork/Collaboration - You like working with others; you participate actively and enjoy sharing the responsibilities and rewards. You pro-actively work to strengthen our team. And you definitely have a sense of humor
  • Critical Thinking - You incorporate analysis, interpretation, inference, explanation, self-regulation, open-mindedness, and problem-solving in everything you do
  • Drive for Results - You keep looking forward, solve problems and participate in the success of our growing organization