Job SummaryMoultrie is actively growing its geospatial capabilities across existing Mapbox-based mobile applications, upcoming web experiences, and support for machine learning and data science workflows. This role helps ensure geospatial data is identified, acquired, transformed, documented, and delivered with quality and reliability.
Job ResponsibilitiesKey Responsibilities- Support the Senior GIS Developer in building and maintaining GIS data workflows using open-source tools.
- Acquire, clean, transform, and load geospatial datasets to support product, engineering, and analytics use cases.
- Execute against defined priorities and deadlines while raising risks early and communicating status clearly.
- Perform quality assurance checks to improve data completeness, consistency, and usability.
- Document data lineage, transformation methods, assumptions, and known gaps (for example, counties/states with missing data).
- Contribute to repeatable geospatial processes and help improve internal GIS standards over time.
- Support occasional off-hours on-call needs for geospatial operations.
- Participate in interviews and provide hiring feedback when requested.
What Success Looks Like - Priority geospatial initiatives are delivered by agreed deadlines with clear documentation.
- Data products are complete where possible, with clear documentation of missing or unavailable data.
- GIS workflows are repeatable, documented, and trusted by partner teams.
- Cross-functional teams can reliably use geospatial outputs in products, analytics, and planning.
Job RequirementsRequired Qualifications- 3+ years of professional GIS experience.
- Hands-on experience with QGIS, PostGIS, GDAL, Mapbox, Python, and SQL.
- Demonstrated ability to build or support cloud hosted geospatial ETL/data preparation workflows.
- Experience collaborating with cross-functional stakeholders and communicating technical details clearly.
- Strong attention to detail, time management, curiosity, and ownership mindset.
Preferred Qualifications- 5+ years of GIS experience.
- Experience supporting geospatial needs for product teams and/or machine learning/data science initiatives.
- Familiarity with cloud computing in Microsoft Azure.
- Experience with Spatiotemporal Asset Catalogs (STAC) and cloud native geospatial formats.
What We Offer- The funding and long-term focus of a privately-held company, combined with the energy of a startup.
- The opportunity to work with cutting edge geospatial tools in an emerging GIS team.
- Remote-friendly culture with an optional annual hunting trip.
