Image Quality Data Engineer, Planet

• The ideal candidate is an entry-level professional with a passion for imagine science, Earth science, and remote sensing
• The role will appeal to candidates who enjoy the interchange between scientific imaging, science, systems engineering, and operations
• 0-1 years of experience in solving problems by exploiting large cloud-based datasets
• Practical experience working with large datasets and databases using tools such as kibana and elasticsearch, grafana, Looker Studio, OpenSearch, postgreSQL
• Practical experience leveraging scientific Python in a Unix/Linux environment
• Great interpersonal skills and ability to collaborate effectively
• Bachelor’s degree in Physics, Visual Computing, Computer Science or other relevant scientific/engineering field

Desirable

• The Imaging Operations Team is looking for an Image Quality Data Engineer to help us operate, optimize, and further develop the largest camera constellation ever deployed in space
• We are responsible for data quality, system-level analysis, and operations for our Earth observation payload
• We operate frame cameras and line scanners, multispectral and hyperspectral sensors as well as very high resolution and medium resolution systems
• Our team works at the intersection of hardware, software and product engineering teams within the Mission Operations Division inside the Space Systems Organization
• Organizes the various image quality, product quality and payload performance metrics and datasets that already exist by combining different data sources
• Surfaces gaps and redundancies in the existing data and works with the teams to propose and implement mitigation strategies
• This involves assessing statistical independence and general correlations between different measurements
• Develops, validates and automates large scale image and product quality and payload performance metrics
• Support the imaging operations of our medium resolution monitoring fleet
• Collaborates with image quality support, collection planning, space operations, data pipeline and product teams

• Application Deadline: November 12, 2025 by 23:59 Pacific Standard Time (11:59 PM PST)
• Application Deadline: November 12, 2025 by 23:59 Pacific Standard Time (11:59 PM PST)