Staff Geospatial Engineer

Overview

• Lead the development and optimization of geospatial data pipelines for advanced machine learning applications.
• Design and manage imagery ingestion, normalization, and cataloging systems across diverse data sources.
• Collaborate with cross-functional teams to ensure data reliability, scalability, and observability.
• Establish and implement best practices for dataset lifecycle management and versioning systems.
• Develop APIs for dataset access and integrate metrics for pipeline performance monitoring.
• Mentor and guide engineers in geospatial and data engineering methodologies.
• Contribute to a fully remote work environment with opportunities for high-impact contributions.

Key Responsibilities & Duties

• Design and implement scalable pipelines for imagery ingestion and normalization processes.
• Optimize spatial data handling for efficient queries and real-time delivery.
• Develop and maintain QA workflows ensuring data accuracy and reproducibility.
• Integrate dataset lineage tracking with artifact stores and registries for comprehensive data management.
• Define and uphold SLAs for dataset freshness, availability, and quality standards.
• Drive architectural decisions to enhance geospatial data systems infrastructure.
• Collaborate with teams to ensure robust and scalable data infrastructure solutions.

Job Requirements

• Bachelor of Science (BS) degree in a relevant field such as Computer Science or Geospatial Engineering.
• Minimum of 5 years of experience in developing geospatial systems for production environments.
• Proficiency in geospatial imagery pipelines, spatial indexing, and data normalization.
• Experience with dataset versioning, QA workflows, and artifact stores.
• Strong understanding of data reliability and usability principles.
• Ability to tackle ambiguous problems and maintain long-term technical ownership.
• Comfortable working remotely with autonomy and clear communication.