Senior Data Engineer (Python)

Israeli startup specializing in geodata is seeking a Senior Data Engineer to design and operate large-scale data pipelines that generate property attributes from imagery using internal AI models. This role focuses on building distributed processing systems running on Kubernetes clusters and GPU infrastructure to process massive geospatial datasets at national scale.

• Design and build large-scale Python processing pipelines for satellite and street-level imagery
• Develop distributed workloads running on Kubernetes clusters
• Build and maintain orchestration workflows using Airflow
• Design and manage data storage and processing workflows using PostgreSQL
• Integrate large-scale AI inference pipelines running on GPU infrastructure
• Optimize processing performance for massive imagery datasets
• Improve observability, monitoring, and reliability of production pipelines
• Collaborate with AI engineers to support large-scale computer vision inference workflows
• Integrate pipelines with AWS-based services

• 7+ years of Python engineering experience
• Strong experience designing distributed data pipelines or large-scale data processing systems
• Experience running workloads on Kubernetes
• Hands-on experience with Airflow or similar orchestration frameworks
• Experience processing large datasets (imagery, geospatial, or other high-volume data)
• Strong understanding of ETL architectures and distributed data systems
• Nice to Have: Experience with satellite imagery, aerial imagery, or remote sensing datasets; Experience with GPU-based inference pipelines; Experience with on-prem compute clusters; Experience with C#