GIS Data Engineer

Role Description

Moultrie 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 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.

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.

Benefits

• 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.

Essential Job Function

We are an equal opportunity employer and comply with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, sex, pregnancy status, age, national origin or ancestry, ethnicity, religion, creed, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation, benefits, and termination of employment.

We comply with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local law.