Senior Data Engineer - Analytics

Join Us in Revolutionizing Oncology Care!

At Canopy, we're transforming healthcare for cancer patients by shifting from episodic treatment to continuous, patient-centered care. Our cutting-edge technology empowers patients to manage symptoms and access support anytime, anywhere—ensuring they never feel alone. With Canopy, the clinic is always with them.

Our innovative approach not only enhances the patient experience but also aligns clinic revenue with better health outcomes, creating a true win-win for everyone involved. By driving a 20% increase in treatment adherence and strengthening patient-provider connections, Canopy delivers life-saving results while elevating patient satisfaction to new heights.

Join us in shaping the future of oncology care! 🌿

Your Mission

As a Senior Data Engineer, you will be at the core of Canopy's data-driven approach to oncology care. You will design, develop, and maintain scalable data pipelines that fuel our analytics and AI-driven decision support tools. By ensuring the integrity, accessibility, and efficiency of our data infrastructure, your work will enable smarter, more proactive care for cancer patients. This role is ideal for someone who is excited about working with large datasets, optimizing data architectures, and leveraging AI to improve healthcare outcomes.

What You'll Do

• Develop & Optimize Data Pipelines – Design robust, scalable data services to support AI-driven analytics and decision-making.
• Enhance Data Flow – Ensure seamless messaging and integration across multiple systems and platforms.
• Monitor & Debug – Identify and resolve data pipeline issues proactively, ensuring reliability and efficiency.
• Leverage AI & Big Data – Implement AI-driven solutions to enhance patient care and operational efficiency.
• Collaborate Across Teams – Partner with product managers, engineers, and healthcare professionals to ensure data solutions meet real-world needs.
  
  

• 5+ years of experience in backend/data engineering.
• Proficiency in Python, TypeScript, and NodeJS.
• Expertise in Big Data technologies (Spark, Snowflake, Airflow).
• Cloud platform experience (AWS/GCP) and containerization (Docker, Kubernetes).
• Strong analytical skills and a problem-solving mindset.
  
  

• Experience working in healthcare data solutions and compliance-driven environments.
• Strong knowledge of data privacy regulations and security best practices.
• Enthusiasm for leveraging data and AI to transform patient outcomes in oncology care.
  
  

• Enjoy a vibrant, collaborative working space in Sarona Tel Aviv, near HaShalom station.
• Depending on your role, you may have opportunities to travel to client sites, our New York office, or other destinations.