GIS Analyst / Python Developer (Junior Level)

Position Overview

CTC Technology & Energy, an established 40‐year‐old woman-owned consulting firm, is experiencing massive growth. We are seeking a highly motivated GIS Analyst/Python Developer to leverage coding skills in geospatial data processing for public sector and nonprofit clients. This full-time remote role values independence, work/life balance, mentorship, and collaboration.

Key Responsibilities

• Develop and maintain Python scripts and applications for geospatial data processing and analysis
• Build automated workflows to efficiently process large geospatial datasets
• Create reusable code libraries for common GIS operations to improve team efficiency
• Contribute to team code repositories following best practices for collaborative development
• Design and implement data pipelines for extracting, transforming, and loading geospatial data
• Develop visualization tools and interactive maps using Python libraries
• Document code, processes, and analysis methodologies
• Participate in code reviews and contribute to improving coding standards
• Create both interactive and static cartography using Python visualization libraries and ArcGIS when needed
• Analyze complex spatial relationships and patterns using computational methods

Required Qualifications

• Bachelor’s or Master’s Degree in Computer Science, GIS, Data Science, Engineering, Information Technology, or a related field
• At least 2 years of experience in Python programming with data analysis libraries (pandas, NumPy, GeoPandas, Shapely)
• At least 2 years of experience in GIS
• Proven ability to work autonomously in a remote environment
• Strong attention to detail and an innovative mindset

Preferred Qualifications

• Experience with version control systems, particularly GitHub
• Familiarity with Generative AI-assisted coding tools (e.g., Cursor, Windsurf)
• Experience creating automated data processing pipelines and workflows
• Proficiency in using Jupyter notebooks for exploratory data analysis and documentation
• Familiarity with ESRI ArcGIS software and its Python API (ArcPy)
• Experience working with big data and performing geoprocessing routines on large datasets
• Knowledge of modern recordkeeping and data management practices
• Experience with web mapping libraries (Folium, Leaflet, Mapbox)

Benefits & Perks

• Compensation:Salary based on experience and education; Pay range: $50,000.00 - $70,000.00 per year
• Benefits:401(k), Dental insurance, Health insurance, Life insurance, Vision insurance
• Flexible schedule and Flexible spending account
• Paid time off and Tuition reimbursement
• Job Type: Full-time; Schedule: Monday to Friday; Work Location: Remote, US