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Selected role

Geospatial Data Scientist

NV5 Broomfield, CO, US

Senior Full-time

Overview:

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
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.

Responsibilities:

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

Qualifications:

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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