Senior Software Engineer

Planet

7h•Hybrid

About The Position

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.

Requirements

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 BigQuery 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 (GitHub, GitLab)
Experience with public cloud reference architectures and services, such as Google Cloud Platform or AWS
Ability to work Eastern Time

Nice To Haves

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

Responsibilities

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