Senior Software Engineer

Welcome to Planet. We believe in using space to help life on Earth.

Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.

Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.

As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.

We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.

Planet is a global company with employees working remotely worldwide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.

We’re looking for a Software Engineer focused on building robust code to analyze customer telemetry, with a focus on geospatial data. You will work on building scalable, low-latency APIs and reliable data pipelines to deliver critical information to both customers and the business. The ideal candidate will have a positive attitude, a collaborative mindset, and be passionate about solving complex problems in innovative ways.

Additionally, you will have the opportunity to work closely with cross‑functional teams, contributing to the development of new features and improving existing systems. Our team is small, and distributed across eastern North America and Berlin. To ensure we have time to meet, our team starts no later than 9AM ET; candidates should operate in Eastern, Atlantic or Newfoundland timezones. This is a full‑time, remote position based in Canada.

If located near an office, you are expected to work from that office 3 days per week.

• Propose, plan and build improvements to a newly-built, event-driven architecture for performance and flexibility
• Identify, troubleshoot, and resolve technical issues related to customer telemetry and reporting
• Build and maintain high-performance data processing pipelines to efficiently handle large volumes of data
• Develop, document and maintain APIs that deliver actionable insights from customer telemetry, enabling data-driven decision-making and enhancing customer experience through real-time and historical analytics
• Identify open‑source tools which fit new data engineering needs
• Review code changes and improve your own changes based on team feedback
• Write and improve automated tests to ensure the accuracy and reliability of code

• Bachelor’s degree
• Experience discussing, planning and building projects in Python and Golang
• Experience with OpenAPI and REST code generation
• Experience with relational databases, especially Big Query and Timescale
• Excellent communication skills in English, written and oral
• 6+ years of experience in software development
• Experience working in cross‑functional teams that put customer requirements first
• Ability to be adaptable and open to mentorship
• Experience with CI/CD and source control tooling (Git Hub, Git Lab)
• Experience with public cloud reference architectures and services, such as Google Cloud Platform or AWS
• Ability to work Eastern Time

• Experience with Airflow, Spark or other data engineering tools
• Experience using spatial data, including working with large GeoJSON files and web tile formats
• Experience with event‑driven systems, especially Pub/Sub and Kafka
• Experience building backend services and infrastructure that scales and is easy to evolve
• Experience with SQL-based ETL development, data warehousing pipeline development and optimization with large data sets
• Experience planning and building automated end-to-end tests across data pipelines, APIs and web apps

April 5,…