Design and maintain robust data and feature pipelines for large-scale geospatial and temporal data ... You have a background in wildfire science, forestry, or remote sensing * Strong background in deep ...
Design and maintain robust data and feature pipelines for large-scale geospatial and temporal data ... You have a background in wildfire science, forestry, or remote sensing * Strong background in deep ...
$98K - $118K/yr
Support data engineering execution across complex application development initiatives, ensuring ... Environment * US-based remote working within PT/ET time zones with the potential for occasional ...
$98K - $118K/yr
Support data engineering execution across complex application development initiatives, ensuring ... Environment * US-based remote working within PT/ET time zones with the potential for occasional ...
Staff Data Engineer
Overland Park, KS · On-site +1
The Staff Data Engineer is responsible for designing, building, and maintaining scalable data ... This is a remote position. Candidates located within 50 miles of WellSky's headquarters in Overland ...
Staff Data Engineer
Overland Park, KS · On-site +1
The Staff Data Engineer is responsible for designing, building, and maintaining scalable data ... This is a remote position. Candidates located within 50 miles of WellSky's headquarters in Overland ...
Staff Data Engineer
Overland Park, KS · Remote
$2.5K/yr
The Staff Data Engineer is responsible for designing, building, and maintaining scalable data ... This is a remote position. Candidates located within 50 miles of WellSky's headquarters in Overland ...
Staff Data Engineer
Overland Park, KS · Remote
$2.5K/yr
The Staff Data Engineer is responsible for designing, building, and maintaining scalable data ... This is a remote position. Candidates located within 50 miles of WellSky's headquarters in Overland ...
Senior Data Engineer
Kansas, KS · On-site +1
$93K - $127K/yr
Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Solid understanding of data cleaning, preparation, and feature engineering to support downstream ...
Quick apply
Senior Data Engineer
Kansas, KS · On-site +1
$93K - $127K/yr
Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Solid understanding of data cleaning, preparation, and feature engineering to support downstream ...
$125K - $165K/yr
We are looking for a Senior Data Engineer to join our dynamic and growing Data & AI Engineering ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...
$125K - $165K/yr
We are looking for a Senior Data Engineer to join our dynamic and growing Data & AI Engineering ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...
$125K - $165K/yr
We are looking for a Senior Data Engineer to join our dynamic and growing Data & AI Engineering ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...
$125K - $165K/yr
We are looking for a Senior Data Engineer to join our dynamic and growing Data & AI Engineering ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...
Senior Data Engineer | Emerging Products
Kansas, KS · On-site +1
$93K - $127K/yr
Location -- We are flexible on remote working from home, if you are located in the USA and reside ... We hire the best data engineers, but experience in our stack can't hurt: our data platform is built ...
Quick apply
Senior Data Engineer | Emerging Products
Kansas, KS · On-site +1
$93K - $127K/yr
Location -- We are flexible on remote working from home, if you are located in the USA and reside ... We hire the best data engineers, but experience in our stack can't hurt: our data platform is built ...
Senior Data Engineer | Emerging Products
Kansas, KS · On-site +1
$93K - $127K/yr
Location -- We are flexible on remote working from home, if you are located in the USA and reside ... We hire the best data engineers, but experience in our stack can't hurt: our data platform is built ...
Quick apply
Senior Data Engineer | Emerging Products
Kansas, KS · On-site +1
$93K - $127K/yr
Location -- We are flexible on remote working from home, if you are located in the USA and reside ... We hire the best data engineers, but experience in our stack can't hurt: our data platform is built ...
Working alongside ML engineers, and a product team, you'll define accuracy for our models, design ... Deep expertise in remote sensing and geospatial analysis, including working with satellite imagery ...
Working alongside ML engineers, and a product team, you'll define accuracy for our models, design ... Deep expertise in remote sensing and geospatial analysis, including working with satellite imagery ...
Westwood's growing Geospatial Department provides professional-level products to its clients ... The Senior Remote Sensing Technician is responsible for post-processing aerial data to final ...
Westwood's growing Geospatial Department provides professional-level products to its clients ... The Senior Remote Sensing Technician is responsible for post-processing aerial data to final ...
Senior Remote Sensing Technician
Overland Park, KS · On-site +1
Westwood's growing Geospatial Department provides professional-level products to its clients ... The Senior Remote Sensing Technician is responsible for post-processing aerial data to final ...
Senior Remote Sensing Technician
Overland Park, KS · On-site +1
Westwood's growing Geospatial Department provides professional-level products to its clients ... The Senior Remote Sensing Technician is responsible for post-processing aerial data to final ...
CrowdStrike is looking for a Principal Data Engineer with deep expertise in Large Language Models ... Contributions to open-source projects related to data or AI/ML. #LI-DM1 #LI-Remote Benefits of ...
CrowdStrike is looking for a Principal Data Engineer with deep expertise in Large Language Models ... Contributions to open-source projects related to data or AI/ML. #LI-DM1 #LI-Remote Benefits of ...
Sr. Zscaler Engineer | Remote, USA
Overland Park, KS · On-site +1
$113K - $155K/yr
... remote and can be hired anywhere in the continental U.S. Optiv is seeking a Sr. ZScaler Engineer to ... sandboxing, and data loss prevention * Assess, identify gaps and develop controls to mitigate ...
Sr. Zscaler Engineer | Remote, USA
Overland Park, KS · On-site +1
$113K - $155K/yr
... remote and can be hired anywhere in the continental U.S. Optiv is seeking a Sr. ZScaler Engineer to ... sandboxing, and data loss prevention * Assess, identify gaps and develop controls to mitigate ...
Your primary focus will be on enhancing the geospatial capabilities of our Outage Management System ... Configure and manage map services and data publishing workflows to ensure timely and accurate data ...
Your primary focus will be on enhancing the geospatial capabilities of our Outage Management System ... Configure and manage map services and data publishing workflows to ensure timely and accurate data ...
Your primary focus will be on enhancing the geospatial capabilities of our Outage Management System ... Configure and manage map services and data publishing workflows to ensure timely and accurate data ...
Your primary focus will be on enhancing the geospatial capabilities of our Outage Management System ... Configure and manage map services and data publishing workflows to ensure timely and accurate data ...
Sr. Zscaler Engineer | Remote, USA
Overland Park, KS · Remote
$113K - $155K/yr
... sandboxing, and data loss prevention * Assess, identify gaps and develop controls to mitigate ... Additionally, engineer will be involved with maintaining, implementing, monitoring, supporting, and ...
Sr. Zscaler Engineer | Remote, USA
Overland Park, KS · Remote
$113K - $155K/yr
... sandboxing, and data loss prevention * Assess, identify gaps and develop controls to mitigate ... Additionally, engineer will be involved with maintaining, implementing, monitoring, supporting, and ...
... remote position. We are seeking a highly skilled and innovative Generative AI Automation Engineer ... Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI ...
... remote position. We are seeking a highly skilled and innovative Generative AI Automation Engineer ... Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI ...
... remote position. We are seeking a highly skilled and innovative Generative AI Automation Engineer ... Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI ...
... remote position. We are seeking a highly skilled and innovative Generative AI Automation Engineer ... Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI ...
... remote position. We are seeking a highly skilled and innovative Generative AI Automation Engineer ... Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI ...
... remote position. We are seeking a highly skilled and innovative Generative AI Automation Engineer ... Data Management: * Collect, preprocess, and analyze large datasets for training and validating AI ...
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 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?
| Aspect | Geospatial Data Engineer Remote | GIS Analyst |
|---|---|---|
| Required Credentials | Bachelor's in GIS, Geography, Computer Science; experience with GIS software and programming | Bachelor's in Geography, GIS, or related field; proficiency in GIS tools |
| Work Environment | Remote, often collaborative with teams across locations | Typically office-based or hybrid; fieldwork possible |
| Employer & Industry Usage | Tech companies, government agencies, environmental firms | Urban planning, government, environmental consulting |
| Common Search & Comparison | Often 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 popular job titles related to Geospatial Data Engineer Remote jobs in Kansas?
For Geospatial Data Engineer Remote jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Kansas look for?
The top searched job categories for Geospatial Data Engineer Remote jobs in Kansas are:
What cities in Kansas are hiring for Geospatial Data Engineer Remote jobs?
Cities in Kansas with the most Geospatial Data Engineer Remote job openings:
Staff Machine Learning Engineer - Wildfire
On-site, Remote
Overstory
Full-time
Re-posted 4 days ago
Key responsibilities
Architect and build advanced ML models to map and predict vegetation and fuel conditions across diverse geographies.
Design and maintain robust data and feature pipelines for large-scale geospatial and temporal data.
Scale models from research to production with a focus on performance, reliability, and explainability.
Job description
Role & Team
As a Staff Machine Learning Engineer at Overstory, you will lead the development and scaling of our Wildfire Fuel Detection Model. This core engine powers how we understand vegetation structure, fuel loads, and wildfire risk from satellite and environmental data. You'll help shape the next generation of Overstory's modeling capabilities by combining cutting-edge ML techniques, large-scale geospatial data, and real-world domain expertise.
Reporting to our VP of Product Engineering, you'll work closely with data scientists, ML engineers, and product teams to ensure our wildfire models are accurate, robust, and production-ready - balancing scientific rigor with practical engineering excellence. As a senior technical leader, you'll mentor other engineers, drive architectural decisions, and define standards for modeling, experimentation, and deployment across Overstory.
Time zone requirement: Eastern North America (NST, AST, EST)
What You'll DoIn collaboration with data, ML, and science colleagues, you will:
- Architect and build advanced ML models to map and predict vegetation and fuel conditions across diverse geographies.
- Design and maintain robust data and feature pipelines for large-scale geospatial and temporal data.
- Partner with wildfire science and product teams to define modeling objectives and evaluation metrics tied to real-world impact.
- Build reproducible experimentation frameworks and model evaluation workflows.
- Scale models from research to production with a focus on performance, reliability, and explainability.
- Lead the evolution of ML systems, tooling, and processes - ensuring that our wildfire fuelscape models remain state-of-the-art and maintainable.
- Collaborate with MLOps peers to streamline training, inference, and monitoring in production environments.
- Experience thriving at the intersection of machine learning, geospatial data, and environmental science; deeply motivated by the opportunity to reduce wildfire risk through data-driven insights
- 10+ years of experience designing and building production-grade ML pipelines and systemsÂ
- You have a background in wildfire science, forestry, or remote sensing
- Strong background in deep learning, computer vision, or remote sensing
- Skilled in designing end-to-end ML systems - from data ingestion and preprocessing to deployment and monitoring
- Hands-on experience with frameworks like PyTorch, TensorFlow, XGBoost, or LightGBM, and data tools like Dask, Spark, or GeoPandas
- Familiarity with GCP and Vertex AI, or similar cloud-based ML platforms
- Strong communication skills and ability to collaborate across technical and scientific domains
- Comfortable leading architectural discussions and mentoring other engineers
- Background in wildfire science, forestry, or remote sensing
- Experience integrating physics-based models with ML or working with active learning and uncertainty quantification
- Experience in model interpretability and data provenance for environmental ML systems
- Experience with deep learning models for weather or climate data
- Experience in remote-first or globally distributed teams
Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.
What We Offer- Competitive, location-specific compensation and benefitsÂ
- Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
- Home office stipend, coworking and ongoing education budgetsÂ
- A company culture that genuinely embodies each of our core values
- To be part of truly mission-driven work that reduces wildfires, protects earth's natural resources and helps solve our climate crisis