Geospatial Data Scientist

NV5 is seeking an experienced and motivated Geospatial Data Scientist to work as part of a growing team of Geospatial, AI, and data science professionals. We value people who are comfortable working in modern, open-source Python ecosystems and contributing to production-grade analytical tools. The role will entail developing efficient cloud-based geospatial data pipelines and workflows, building CI/CD pipelines with integrated unit tests, and developing data analytics over both spatial and non-spatial big datasets. This role is in support of the US Army Corps of Engineers. U.S. Citizenship required, and candidates much have held a Department of Defense Common Access Card (CAC) within the last two years.

Work Environment:

Location: This position is a fully remote position within an engaged, virtual division at NV5.
• Travel <10% of the time </span>
• Proof of U.S. Citizenship is required.

NV5 is a global technology solutions and consulting services company with a workforce of over 4,500 professionals in more than 100 offices worldwide. NV5’s continued growth has been spurred through strategic investments in firms with unique capabilities to help current and future customers solve the world’s toughest problems. The NV5 family brings together talent across a wide range of markets and fields, including Professional Engineers, Professional Land Surveyors, Architects, Photogrammetrists, GIS Professionals, Software Developers, IT, Project Management Professionals, and more.

At NV5 Geospatial, we are a collaboration of intelligent, innovative thinkers who care for each other, our communities, and the environment. We value both heart and head, the diversity of our people, and their experiences because that is how we continue to grow as a leader in our industry and expand our individual and collective potential.

• Translate business requirements into technical specifications, data models, data streams, and databases
• Develop production ready geospatial workflows and data pipelines using open-source python libraries
• Work with online transaction processing (OLTP) and online analytics processing (OLAP) stacks (PostgreSQL, DuckDB, PyArrow, Parquet / GeoParquet)
• Develop spatial computation with H3, Shapely, GDAL/OGR and other lightweight geospatial utilities
• Write testable, benchmarked code using pytest and async test patterns
• Build with python package managers like uv and poetry utilizing pyproject.toml for project management
• Collaborate in open-source-style repositories with linting, formatting, typing, and CI expectations
• Build CI/CD pipelines with integrated unit tests
• Convert or embed ML/AI workflows into production-grade, enterprise systems
• Utilize Research, Plan, Implement strategies for AI-driven development practices
• Design, develop, and maintain infrastructure for geospatial analysis and ML/AI applications on large data

Minimum Qualifications:

• 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
• Must have had a Department of Defense Common Access Card in the past two years

Required Skills:

• Data/database architecture design within cloud computing infrastructure
• Systems analysis
• Experience working with Geospatial data
• Strong Python engineering experience in production systems
• Proven ability to design efficient spatial data pipelines
• Experience working with spatial data analysis at scale
• Comfort developing CI/CD pipelines and unit tests
• 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

Desired Skills and Certifications:

• Web map Application development
• Performing data analysis
• Experience with Research, Plan, Implement strategies for AI-driven development practices
• RAG and embeddings AI application development experience
• Background in geospatial analytics outside traditional GIS stacks
• Experience with data lakehouse platforms such as Databricks
• Familiarity with a variety of geospatial data formats
• Understanding of geospatial metadata requirements
• Security+ Certification

Preferred Languages and Software:

• Python
• Apache Spark
• PostGIS
• PostgreSQL
• MySQL
• Databricks Platform
• FOSS GIS Software (GDAL/OGR, PROJ, Leaflet, etc.)
• FOSS GIS Platforms (GeoServer, QGIS, GRASS GIS)
• Esri GIS Platforms (Desktop/Enterprise/Online)

Please be aware that some of our positions may require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.

NV5 offers a competitive compensation and benefits package including medical, dental, life insurance, PTO, 401(k) and professional development/advancement opportunities.

NV5 provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws. NV5 complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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