greehill

Customer Support

• Provide production support for already delivered GIS projects focused on laser scanning of trees.
• Handle customer-reported data issues via tickets, fulfill special requests from customers and project managers, and ensure delivered datasets, outputs, and GIS deliverables remain correct and usable.
• Triage and resolve post-delivery production tickets related to tree laser scanning deliverables (point clouds, images, derived tree metrics, GIS data).
• Investigate data issues, run controlled reprocessing / re-export steps when needed.
• Perform quality checks and document results.
• Manage customer and PM special requests: custom AOIs, additional formats, extra attributes/metrics, alternative projections, incremental deliveries, tailored map exports.
• Coordinate with stakeholders and internal teams (Data Processing, Validation, QA, Engineering, AppDev) for escalations; provide clear evidence, examples, screenshots.
• Maintain accurate ticket updates: impact, root cause, workaround, ETA, final resolution; follow SLA and incident process.
• Improve operations: maintain runbooks, known-issue lists, delivery checklists, and propose automation for recurring fixes.

Data Support Specialist

DevOps Engineer

• This position focuses on improving quality and reliability through automation of testing, deployment, and operational workflows
• You’ll help increase engineering velocity and system stability as the platform scales
• Automated testing frameworks (unit, integration, e2e)
• Infrastructure automation
• Quality and reliability metrics
• Support production monitoring and incident automation

Automation & Reliability Engineer

Backend Engineer

• Define technical direction and architecture for backend and data platforms
• Set standards, design patterns, and drive architectural improvements
• Provide technical leadership across teams
• Make cross-team architectural decisions on APIs, data processing, and services
• Champion best practices (CI/CD, security, scalability)

Software Architect – Python, Data Platforms

Data Engineer

• You’ll be a core contributor to the engine behind our platform, working on systems that process massive, complex datasets and turn them into real-world impact.
• Data pipeline architecture for spatial data ETL/ELT workflows
• Integration with geospatial databases
• Ensuring data quality, performance, and lineage

Data Engineer – Spatial, GIS Data Infrastructure

Data Entry

• Quality control of acquired field data
• Mobile Laser Scanning trajectory processing
• Terrestrial and mobile laser scanning data post-processing (post-processing, point cloud and photogrammetry)
• Alignment and adjustment of different measurements
• Quality control of post-processed data
• Solving GIS related tasks of processing
• Camera adjustment
• Data export and data management

Junior LiDAR Data Processor

• You’ll be a core contributor to the engine behind our platform, working on systems that process massive, complex datasets and turn them into real-world impact
• Design and write clean, scalable Python code to solve challenging, real-world problems
• Build and maintain APIs and data pipelines using FastAPI, SQLAlchemy, and Pandas
• Support and integrate machine-learning workflows into production systems
• Store, process, and optimize 2D, 3D, and GIS data at city scale
• Collaborate closely with data scientists, ML engineers, and product teams

Python Engineer

• Scalable backend design & implementation in Python (FastAPI, SQLAlchemy)
• API development and optimization
• System performance profiling & tuning
• Ensure reliability and maintainability in production