Staff Geospatial Engineer

Overview

• Lead the development of scalable geospatial data pipelines for production ML systems.
• Design and operate imagery ingest, normalization, and cataloging pipelines across diverse sources.
• Collaborate with ML, infrastructure, and product teams to ensure data reliability and observability.
• Define best practices for dataset lifecycle management and versioning systems.
• Establish APIs for dataset access and implement metrics for data pipelines.
• Mentor engineers and promote geospatial and data engineering best practices.
• Operate in a fully remote environment with high ownership and autonomy.

Key Responsibilities & Duties

• Design scalable pipelines for imagery ingest and normalization.
• Optimize tiling/chipping pipelines for fast spatial queries and real-time data delivery.
• Implement QA workflows for data correctness and reproducibility.
• Integrate dataset lineage tracking with artifact stores and registries.
• Define SLAs for dataset freshness, availability, and quality.
• Drive architectural decisions for geospatial data systems.
• Collaborate across teams to ensure robust data infrastructure.

Job Requirements

• Bachelor of Science (BS) degree in a relevant field.
• 5+ years of experience in building geospatial systems in production environments.
• Deep knowledge of geospatial imagery pipelines and spatial indexing.
• Proficiency in dataset versioning and QA workflows.
• Experience with artifact stores and dataset lineage tracking.
• Strong product-oriented mindset towards data reliability and usability.
• Comfortable with ambiguous problems and long-term technical ownership.
• Remote work capability with autonomy and clarity.