Lidar Data Manager

Lidar Data Manager, IT Data Management Journey
Full-time, Project, Represented position
Anticipated Project is March 2025 – June 2027
Partial Telework flexibility may be available and considered
Salary: $7,147.00 – $9,612.00 Monthly

Review of applications is ongoing. We reserve the right to make a hiring decision or close this recruitment at any time after 2/13/25. It is in your best interest to submit materials as soon as possible.

Responsibilities:

• Develops, implements, and maintains databases and schemas for the Lidar Program public applications
• Designs, tests, and implements data retrieval methods for internal and external access
• Independently designs, implements, and tests custom Python scripts for database development, custom lidar-based products, and data management
• Provides database support and troubleshooting for users of both internal and external distribution systems
• Performs quality assurance analysis on incoming lidar data deliverables
• Develop products, such as cloud-optimized point clouds or geotiffs, for greater public accessibility
• Uses datums and coordinate systems to ensure lidar data is updated to new datum standards
• Works with internal and external customers of lidar data to consult or solve access and use issues
• Effective time management, documentation skills, and ability to work independently on assigned tasks
• Good communication, teamwork, and a positive, diligent work ethic

Required Qualifications: 

• Bachelor’s degree in Information Technology, Computer Science, Geographic Information Systems/Science: geography, geology, etc., or other closely related field;
  OR an equivalent combination of education and/or experience.
• Four years of relevant professional IT experience in database design and management to include 2 or more years of the following:
  • Geospatial programming (Python, VB, JSON, JavaScript, etc.)
  • Working with Esri ArcGIS software, including publishing services and management of GIS databases.
• Knowledge regarding the processing of remotely sensed data and advanced technologies, including lidar data.
• Experience working with large data storage and retrieval methods.
• Experience working with geographic map projections, datums, geoids, and transformation methods.
• Ability to analyze, edit, and modify spatial data to conform to Survey standards.
• Commitment to fostering and supporting an environment that honors diversity, equity, inclusion, and environmental justice practices.