Description
Job Summary:
As a Geospatial Developer, you will be responsible for designing, developing, and implementing software solutions that leverage geospatial data to solve complex problems and enhance decision-making processes. The developer will work alongside a team of data analysts and developers, primarily experienced in R , Python and other open source GIS platform in addition to the ESRI suite of GIS tools, analyze requirements, develop algorithms, and integrate spatial technologies into applications that service healthcare provider network analytics
Essential Responsibilities:
- Spatial Analysis: Perform spatial analysis and modeling techniques to derive insights, patterns, and trends from geospatial datasets using both ArcGIS tools and open-source GIS packages.
- Integration: Integrate geospatial functionalities into existing software systems and applications to enhance their spatial capabilities, utilizing both ArcGIS APIs and open-source libraries.
- Geospatial Data Management: Collect, process, and manage geospatial data from various sources such as GPS, satellites, and geographic information systems (GIS), including proprietary formats used in ArcGIS and open-source formats.
- Design, implement, and maintain data pipelines leveraging multiple data sources.
- Collaborate with data analysts and developers to understand data needs and deliver efficient solutions.
- Contribute to and advocate for coding best practices, robust documentation, and continuous improvement in data engineering practices.
- Work closely with geospatial datasets and tools, ensuring efficient and accurate processing of spatial data.
Minimum Qualifications
Minimum one (1) year experience in a leadership role with or without direct reports. Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field and Minimum five (5) years experience in data analytics or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement.
Additional Requirements
Knowledge, Skills, and Abilities (KSAs):
- Negotiation
- Business Planning
- Written Communication
- Data Extraction
- Data Mining
- Data Visualization Tools
- Statistical Programming Language
- Relational Database Management
- Vendor Management
- Project Management
Preferred Qualifications
Two (2) years project management experience. Two (2) years experience in process improvement.