Data Engineer, Planet

• 4+ years of relevant experience
• Bachelors’ degree in a relevant field
• Experience in Python and SQL ETL pipelines
• Experience with maintaining peer-reviewed code, building and debugging CI/CD pipelines
• Familiar with cloud architectures and services, such as Google Cloud Platform (preferred) or AWS
• Familiar with geospatial datasets and event-based data architectures
• Ability to communicate and collaborate across teams
• Good organizational skills, ability to execute multiple projects

Desirable

• As a Data Engineer (DE) at Planet, you will design and build enterprise ETL pipelines and self-service data tooling using modern cloud technologies
• You will work closely with various stakeholders to understand their needs and to deliver robust, flexible solutions and clear insights to meet those needs
• You will build data solutions, i.e. architecture, implementation, CI/CD and orchestration of pipelines, QA, visualization and effective data communication
• You’ll be part of the Data Team within the Software Engineering organization, which is made up of data scientists, engineers and analysts working on similar tasks across Planet domains
• Develop robust, accurate data pipelines as well as maintain, troubleshoot, and improve existing ones
• Deliver self-service data tooling, visualizations and insights needed to drive decision making and monitoring
• Collaborate with stakeholders, your manager and peers
• Provide technical design feedback and code reviews for peers within your team

• Application Deadline: February 9th, 2026, 23:59