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Junior Strong/Middle Data Engineer
with growth path to Data Science**
Overview
SeeTree is transforming farming into a fully digital, intelligent system powered by AI Agents. Our technology turns every plant into a data point and every farm into a self-optimizing network—driving smarter decisions and pioneering the era of Farming 4.0.
Trusted by global agribusiness leaders, SeeTree deploys advanced multimodal AI systems that deliver per-plant insights and yield forecasting at scale, directly impacting how the world grows its food.
We’re looking for a Data Engineer who wants to grow toward Data Science and be part of a high-impact AI platform used by top agribusiness companies worldwide.
Responsibilities
- Modernize Existing Architecture with Agentic AI: Develop new methods through APIs/MCPs and Agentic AI to enhance system capabilities to provide new customer experience
- Design and build data infrastructure: Create and maintain data pipelines, databases, and large-scale processing systems.
- Develop ETLs: Develop processes to collect, clean, and transform raw data from various sources into a format suitable for analysis.
- Integrate with External Providers: Work with clients and 3rd party providers to incorporate new data sources and provide new capabilities to the end user.
- Optimize and troubleshoot: Monitor data systems, optimize resources, and troubleshoot issues to ensure smooth performance.
Skills & Qualifications
Required
- B.Sc or student in Computer Science, EE, Applied Math, or similar.
- 2–3+ years of experience in Data Engineering or related roles.
- Strong Python development skills.
- Fluent in coding agents (Cursor/Claude Code/Codex/Gemini)
- Experience with cloud environments (AWS/GCP/Azure).
- Understanding of data pipelines and automation
- Interest in Data Science / ML and willingness to grow in this direction.
- English: Intermediate+ (daily communication, documentation).
Nice to Have
- Experience with geospatial data, GIS, or mapping.
- Basics of Computer Vision or ML.
We reserve the right to respond only to relevant resumes.
Key Skills
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