Geospatial Data Engineer
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Job Description
Geospatial Data Engineer designing and maintaining databases and data architectures for geospatial analysis at NV5. Collaborating in a remote setting on large data solutions.
Responsibilities:
- Translate business requirements into technical specifications, data models, data streams, and databases
- Convert or embed ML/AI workflows into production-grade, enterprise systems
- Design, develop, and maintain infrastructure for geospatial analysis and ML/AI applications on large data
- Develop API-driven backend services with FastAPI, Pydantic, and async Python
- Work with columnar analytics stacks (DuckDB, PyArrow, Parquet / GeoParquet)
- Deploy monitoring tools to track status and performance of system architecture and data flows
- Propose enterprise data architecture solutions in support of business development.
Requirements:
- Bachelor’s degree from an accredited university in Computer Science, Information Technology, or a related field
- 5 years of experience in data science, geospatial, IT, ML/AI, or related field
- Data/database architecture design within cloud computing infrastructure
- Database management
- Systems analysis
- Experience working with Geospatial data
- Proven ability to design efficient spatial data pipelines
- Strong Python engineering experience in production systems
- Comfort working in backend systems that integrate with LLMs and AI
- Comfort working as part of a software development team
- Strong focus on correctness, reproducibility, and explainability
- Strong written and verbal communication skills.
Benefits:
- NV5 offers a competitive compensation and benefits package including medical, dental, life insurance, PTO, 401(k) and professional development/advancement opportunities.
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