Geospatial Programmer - TSSCI w​/Poly

Job Description

• Developing custom code, scripts, modules, macro procedures, libraries, and dynamically linked libraries for geospatial analysis functions using Python to augment and analyze data
• Providing ad hoc support for writing scripts in Python and other coding languages to help automate geoprocessing of large datasets in response to analysts’ needs. Instructing and assisting analysts in writing custom code and scripts as needed.
• Leveraging available computing resources to handle very large geospatial datasets, creating efficiencies in data management including data deduplication and reduction, streamlining geospatial data processing, and scaling processes from regional to global

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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• 5+ years of professional experience
• Bachelor’s degree in computer science, geography, or related technical field (relevant experience may be substituted for a degree)
• Python Development & Automation – Scripting for data analysis, workflow automation, and application development
• Data Modeling & Databases – Experience modeling geospatial data and working with No
  
  SQL and relational databases (Elasticsearch and Postgre
  
  SQL preferred)
• Geospatial & Image Processing – Spatial data analysis, and strong geospatial reasoning skills
• Software & IT Support – Troubleshooting, system integration, and customer support

• Big Data & Scalable Analytics – Distributed computing and large-scale data optimization
• Data Engineering & Infrastructure – Scalable data pipeline development, performance optimization, and data management best practices
• Software Development Workflows – Experience with Git, Jira, and writing technical documentation