Geospatial Software Engineer at Planet

Ljubljana, Ljubljana, Slovenia

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Space, Geospatial, Earth ObservationIndustries

Requirements

4+ years experience in a technical role (data scientist, software developer…) within a multidisciplinary team
Bachelor's degree in Geoinformatics, computer science, physical science, engineering, or a comparable field of study
Proficiency in Python for data processing and backend development (e.g. RESTful APIs, GDAL, geopandas, rasterio, xarray…)
Experience working with raster data, ideally geospatial formats like Cloud-Optimized GeoTIFFs (COGs)
A commitment to code quality, demonstrated by hands-on experience in writing tests and building a culture of quality assurance
Solid understanding and hands-on experience with CI/CD principles and pipelines for automating data delivery
Familiarity with cloud object storage solutions such as AWS S3 or similar
Willingness to learn quickly and take on unfamiliar tasks
Proactive and solution-focused, with an eagerness to improve data pipelines and contribute innovative ideas to the team

Responsibilities

Develop and operate robust, scalable automated pipelines to process and serve analysis-ready satellite data (e.g., Sentinel-1, Sentinel-2) to our users
Integrate new and diverse data sources into CDSE, ensuring they are discoverable and usable
Manage the integration of cloud-native data, primarily from object storage (AWS or similar), with our core API services
Engineer and implement solutions for data visualization and connecting data streams to user-facing dashboards
Drive the integration of metadata using modern standards like STAC to ensure data is easily searchable and interoperable
Collaborate closely with a team of developers and scientists to build the next generation of EO infrastructure
Write clear technical documentation for all developed services and pipelines to ensure long-term sustainability and maintainability

Skills

Geospatial

Software Engineering

Data Pipelines

Satellite Imagery

Earth Observation

Cloud Platforms

Digital Twin

Planet

High-resolution satellite imagery subscription service

About Planet

Planet captures high-resolution satellite images of the Earth using a fleet of small satellites called Doves. These satellites provide near-daily, detailed imagery across eight different bands, allowing clients to monitor environmental changes, manage resources, plan urban developments, and respond to disasters. The company operates on a subscription-based model, giving clients access to a vast library of images and data analytics tools. This approach ensures consistent revenue as clients require ongoing updates. Planet differentiates itself by offering customized solutions and educational resources through Planet School, helping users effectively utilize their platform. The goal of Planet is to be a leader in the geospatial intelligence market, providing valuable insights through frequent and detailed Earth observation.

San Francisco, CaliforniaHeadquarters

2010Year Founded

$617.1MTotal Funding

IPOCompany Stage

Data & Analytics, AerospaceIndustries

1,001-5,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Health Savings Account/Flexible Spending Account

Unlimited Paid Time Off

Paid Vacation

Paid Sick Leave

Paid Holidays

Sabbatical Leave

Remote Work Options

Wellness Program

Mental Health Support

Home Office Stipend

Phone/Internet Stipend

Tuition Reimbursement

Equity

Commuter Benefits

Volunteering Paid Time Off

Parental Leave

Risks

Increased competition from companies like Antaris threatens market share.

Recent layoffs may impact operational efficiency and innovation.

Expansion of partnerships may stretch resources, reducing service quality.

Differentiation

Planet operates the largest fleet of Earth-imaging satellites globally.

Their subscription model ensures continuous revenue from diverse sectors.

Planet's AI-driven analytics enhance satellite imagery insights significantly.

Upsides

AI-driven analytics can expand into agriculture and urban planning sectors.

Partnerships with platforms like UP42 enhance data offerings and capabilities.

Smart city management using satellite data offers new revenue streams.

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