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Geospatial Data Engineer Remote Jobs in Montana (NOW HIRING)

AI Automation Engineer -Remote

Bozeman, MT ยท On-site +1

$202K - $234K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

AI Automation Engineer -Remote

Great Falls, MT ยท On-site +1

$202K - $234K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

AI Automation Engineer -Remote

Helena, MT ยท On-site +1

$202K - $234K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

AI Automation Engineer -Remote

Missoula, MT ยท On-site +1

$202K - $234K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

AI Automation Engineer -Remote

Billings, MT ยท On-site +1

$202K - $234K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Senior Backend Engineer - Offroad

Bozeman, MT ยท On-site +1

$146K - $182K/yr

Experience working in a remote environment with a distributed team. * A strong curiosity for ... Experience with geospatial data formats, tools, or APIs (e.g., PostGIS, GeoJSON, vector tiles, or ...

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Geospatial Data Engineer Remote information

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 popular job titles related to Geospatial Data Engineer Remote jobs in Montana? For Geospatial Data Engineer Remote jobs in Montana, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Montana look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Montana are:
What cities in Montana are hiring for Geospatial Data Engineer Remote jobs? Cities in Montana with the most Geospatial Data Engineer Remote job openings:
Infographic showing various Geospatial Data Engineer Remote job openings in Montana as of June 2026, with employment types broken down into 14% Internship, 28% As Needed, 29% Full Time, and 29% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Data Analytics Engineer

Murdoch\'s Ranch & Home Supply

Bozeman, MT โ€ข On-site, Remote

$116K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

Description

We are seeking a highly skilled and experienced Data Analytics Engineer with a strong focus on Microsoft technologies to join our team. As a Data Analytics Engineer, you will play a critical role in designing, implementing, and optimizing data analytics solutions leveraging Microsoft\'s suite of tools and technologies. Your expertise will be instrumental in transforming complex data into actionable insights, driving business growth, and supporting decision-making processes while actively participating in new opportunity pursuits. You will work with retail data domains such as sales, inventory, customer, and finance to design models that power operational and analytical decision-making across the business. This role is very technically focused and will co-own the design and evolution of the companyโ€™s Microsoft Fabric Lakehouse architecture, including the downstream Power BI semantic layer. Your workplace is flexible โ€“ we have offices in Bozeman Montana or wherever you feel most productive.


ย This position can be fully remote for candidates residing in: AZ, CO, FL, GA, IA, ID, MT, MO, NE, NV, NC, PA, SD, TN, TX, UT, VA, WY.ย 


As a Murdochโ€™s Team Member in this role, you will โ€ฆย 

  • Collaborate with stakeholders to understand business requirements and translate them into scalable and efficient data analytics solutions.
  • Possess in-depth knowledge and hands-on experience with Microsoft Fabric ecosystem (Lakehouse, PySpark/SQL notebooks, data pipelines, and deployment pipelines). Understanding Microsoft Dynamics as a data source a big plus.
  • Design data models that bridge the Fabric Lakehouse, Power BI semantic models, and reporting layers, ensuring consistency between raw, curated, and business-facing data.
  • Optimize data models to support efficient data storage, retrieval, and analysis, ensuring data integrity, accuracy, and reliability. Knowledge of Fabric capacity (CU) optimization a big plus.
  • Implement data integration pipelines using Microsoft Fabric and other relevant tools to extract, transform, and load data from various sources into a unified data platform.
  • Create visually appealing and interactive dashboards, reports, and visualizations using Microsoft Power BI and DAX language, enabling users to gain valuable insights from data.
  • Identify performance bottlenecks and implement optimizations to improve data processing, query performance, and overall system efficiency.
  • Collaborate with cross-functional teams, providing technical leadership and guidance to data engineers, analysts, and other stakeholders to ensure successful project delivery.
  • Keep abreast of the latest advancements in data analytics technologies (Microsoft based and others) and industry trends, continuously enhancing your expertise and applying best practices in solution design and implementation.


Requirements

ย As a Murdochian in this role, you mustโ€ฆย 

  • Experience as a Data Engineer owning core data pipelines, with a primary focus on Microsoft Fabric and Azure technologies.
  • Extensive knowledge and hands-on experience with Microsoft Fabric. Including knowledge of medallion architecture using Lakehouse, Pyspark notebooks, data and deployment pipelines.ย 
  • Experience designing and maintaining scalable semantic models (Power BI / Tabular / DAX) to provide a consistent, governed analytics layer across the business.
  • Establish and maintain best practices for version control, CI/CD, testing, and deployment of data pipelines and semantic models.
  • Proficiency in data visualization techniques using Power BI / DAX.
  • Strong problem-solving skills and ability to design scalable and efficient data analytics architectures.
  • Excellent understanding of data warehousing concepts, data governance, and data quality principles.
  • Solid knowledge of data security and compliance considerations in the context of data analytics.
  • Strong customer service focus for helping the team and business functions with their data analytics needs.
  • Ability to present, facilitate and participate in requirements elicitation and brainstorming sessions with internal and external teams in small and medium group environments.ย 
  • Track record of building impactful solutions that you are proud to stand behind!

Physical Demands:

  • Sitting for long periods of time.
  • Repetitive wrist movements on keyboard.
  • Close vision for PC work.
  • Bending, carrying, and pushing.
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions.

Competitive Benefits + Compensation:

  • ย Amazing Employee Discount on everything from clothes to power tools to pet food.
  • ย Multiple Health Insurance* options to best suit your needs after 60 days.
  • ย Dental & Vision options to complete your health plan.
  • ย Life Insurance to secure your familyโ€™s financial future.
  • ย Paid Vacation* allows you to relax and recharge.
  • ย Holiday Pay throughout the year so you can celebrate with your family.
  • ย Paid Sick Time** empowers you to stay home and focus on your health without losing pay.
  • ย 401(k) with a generous 4% company match to help plan for retirement.
  • ย Paid Parental Leave* to take time to bond with your familyโ€™s new addition.
  • ย Community Giving Program matches your donations and provides paid volunteer hours.
  • ย Wellness Program* saves you money by lowering medical premiums with credits earned.
  • ย Training Program helps you expand your knowledge and skills with over 250 courses.
  • ย Other various Voluntary Insurance Options.

ย #LI-CS1ย ย