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GIS Engineer
4M AnalyticsGIS Software Engineer building Python geospatial pipelines for 4M, which maps subsurface infrastructure. Improving ETL, data quality, and utility mapping operations.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Python-based application development, GIS/Geospatial technologies, and CI/CD processes. Capable of leading technical teams, optimizing data workflows, and implementing industry-standard software development methodologies.
Highest-signal resume keywords
Python DevelopmentGIS/Geospatial DevelopmentCI/CD ProcessesPostgreSQL/SQLAWS Services
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonPostGISGeoParquetSQLKubernetesDockerAirflowAI Development ToolsDebuggingData Processing
Soft Skills
Technical GuidanceCollaborationCuriosityCommunication
Tools & Technologies
AWSPostgreSQLClaude CodeArgoCDHelmKEDA
Industry Keywords
ETL WorkflowsData InfrastructureTechnical DebtUtilities MappingCoordinate Systems
Tech Stack
Tools & technologiesAirflowAWSDockerETLKubernetesPostGISPostgresPythonSQL
About the role
Key responsibilities & impact- Lead the design and implementation of software solutions aligned with project goals
- Provide technical guidance to team members
- Collaborate with product managers, designers, and QA engineers
- Design and implement CI/CD processes for data processing, releasing, testing, and monitoring
- Create and manage ETL workflows, databases, and data infrastructure components
- Develop and optimize Python-based applications and services for efficient data processing
- Maintain data quality and support accurate, up-to-date utilities mapping
- Conduct technical reviews of third-party tools, frameworks, and technologies
- Identify technical debt and implement improvements to code quality and maintainability
- Implement relevant technologies, industry trends, and software development methodologies
Requirements
What you’ll need- 5+ years as a backend/software engineer with solid Python skills
- 3+ years of GIS/Geospatial development experience
- Experience with PostGIS, GeoParquet, and coordinate systems
- Proven experience with AI development tools; Claude Code is used daily
- Familiarity with Airflow or comparable orchestration
- Experience with AWS services
- Solid PostgreSQL/SQL skills
- Solid debugging skills
- Kubernetes/Docker experience
- Fluent English, written and verbal
- AI-first mindset; curiosity and drive to develop AI workflows
- Preferred but not required: civil engineering-related experience
- Preferred but not required: experience with message queues
- Preferred but not required: experience with ArgoCD, Helm, or KEDA in Kubernetes environments
Benefits
Comp & perks- Remote/hybrid work arrangement
- AI tools and AI-first engineering culture
- Opportunity to work on a product transforming subsurface utility mapping
- Collaborative and supportive team culture