Software and ML Data Eng.

Company Description

Dormotech Medical Ltd. is a pioneering digital health company revolutionizing the monitoring and diagnosis of sleep disorders. Our innovative solution, DormoVision X™, is a compact, multi-channel device designed for easy, patient-friendly self-setup at home. Supporting both adult and pediatric patients, it enables scalable, accurate sleep studies over multiple nights, making diagnostics more accessible and efficient. Dormotech is committed to transforming digital health standards by enhancing provider capabilities and delivering better patient outcomes through real-time monitoring and clinical-grade data.

This is a full-time on-site role for a Software and Machine Learning Data Engineer, based in Raanana. The engineer will be responsible for developing and optimizing data pipelines, implementing ETL processes, designing robust data architectures, and managing data warehouses. Additional responsibilities include performing data modeling and analytics to support machine learning initiatives, collaborating with cross-functional teams, and maintaining data integrity and performance to meet organizational goals.

• Expertise in Data Engineering, including building and optimizing scalable data pipelines.
• Strong skills in Data Modeling and designing efficient database schemas.
• Proficiency in Extract, Transform, Load (ETL) processes and tools, with the ability to handle large datasets.
• Experience in designing and managing Data Warehousing solutions to support analytics and reporting.
• Ability to apply Data Analytics techniques to gain actionable insights and support machine learning workflows.
• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Strong problem-solving skills with an analytical mindset and attention to detail.
• Proficiency in programming languages such as Python, Java, or Scala; familiarity with machine learning frameworks is a plus.
• Prior experience in the healthcare or digital health industry is advantageous.
• Excellent teamwork and communication skills to collaborate effectively with interdisciplinary teams.