Senior Staff GIS Engineer

This is a fully remote position, open to applicants in New York.

📋 Description

• Take ownership of the technical strategy and architecture for sourcing, preparing, and validating geospatial datasets across designated regions.

• Lead the resolution of complex, high-impact GIS engineering challenges that involve multiple data modalities, systems, and teams.

• Establish standards and measurable controls for data coverage, freshness, quality, provenance, licensing, reliability, and cost.

• Assess open, public-domain, and commercial sensor data sources while providing technical guidance for provider selection and data partnerships.

• Design scalable geospatial processing systems using both open-source and internally developed tools.

• Create and oversee automated post-processing workflows for outputs from geospatial AI/ML pipelines.

• Actively contribute to the development of internal software and tools utilized for sourcing, processing, cataloging, and distributing geospatial datasets.

• Collaborate with AI/ML teams to anticipate data needs for model development and ensure access to suitable datasets.

• Work alongside Pipeline and Product teams to establish data requirements, technical interfaces, quality thresholds, and criteria for launch readiness.

• Lead technical design reviews and facilitate alignment on architecture, trade-offs, sequencing, and risks.

• Mentor engineers, share domain knowledge, and establish best engineering practices.

• Communicate technical decisions, dependencies, and risks to engineering leaders, product partners, and stakeholders.

• Collaborate with leadership to align product vision with a practical geospatial data and technology roadmap.

⛳️ Requirements

• Master's degree in GIS, Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.

• Over 8 years of relevant industry experience.

• Extensive experience in designing and delivering production geospatial data systems within a dynamic technology environment.

• Proven track record of technical leadership across intricate, cross-functional initiatives.

• In-depth knowledge of geospatial modalities, formats, coordinate systems, and processing techniques.

• Experience working with raster data types including orthoimagery, land cover, DTM, DSM, and DEM data.

• Familiarity with point clouds, particularly LiDAR-sourced LAS/LAZ data.

• Knowledge of vector data formats such as Shapefile, GeoJSON, and OSM.

• Strong background in software engineering and system design for scalable, maintainable, and automated data processing systems.

• Advanced proficiency in Python for production automation, data processing, tooling, testing, and software integration.

• Experience in assessing geospatial data quality, coverage, provenance, licensing constraints, and downstream fitness.

• Ability to effectively communicate technical strategies and trade-offs.

• Experience in integrating LLM-assisted development tools into a Geospatial Engineering workflow when applicable.

• Desired: Familiarity with GDAL and PROJ.

• Desired: Experience with Linux and bash.

• Desired: Knowledge of cloud-based or distributed data processing workflows.

• Desired: Exposure to data catalogs, lineage, metadata, validation frameworks, monitoring, and production pipeline support.

• Desired: Experience with geospatial data for machine learning, computer vision, simulation, digital twins, or large-scale interactive applications.

• A collaborative approach to technical leadership and mentoring.

🏝️ Benefits

• Medical insurance.

• Dental insurance.

• Vision insurance.

• 401(k) plan.

• Paid leave.

• Tuition reimbursement.

• A variety of additional discounts and perks.

• Eligibility for bonuses.