Canopycare
Overview
Join Us in Revolutionizing Oncology Care! At Canopy, were transforming healthcare for cancer patients by shifting from episodic treatment to continuous, patient-centered care. Our technology empowers patients to manage symptoms, access support, and stay connected to their care teamsensuring 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 strengthening patient-provider connections and improving adherence, Canopy delivers life-saving results while elevating patient satisfaction to new heights. Join us in shaping the future of oncology care! What Youll Do
Lead Analytics Engineering
Own the companys analytics stack end-to-end, shaping strategy and execution. Redesign & Scale Infrastructure
Revisit and modernize our current data pipelines, models, and architectures. Drive Business Insights
Build reliable data solutions for internal stakeholders, ensuring our teams have the insights they need. Enable Embedded Analytics
Develop analytics products that empower our customers with actionable, data-driven insights. Integrate AI & LLMs
Experiment with and implement AI-driven approaches to unlock new capabilities and smarter analytics. Cross-Team Collaboration
Partner with product, engineering, and clinical teams to ensure data directly fuels impact. What Youll Bring
5+ years of experience in Data Engineering/Analytics Engineering. Strong proficiency in
Python ,
SQL
and modern data tools. Hands-on experience with
Big Data technologies
(e.g., Spark, Snowflake, Airflow). Deep understanding of
data modeling, pipelines, and infrastructure at scale . Experience with
cloud platforms
(AWS/GCP). Strong problem-solving and analytical skills, with the ability to connect data to business impact. Bonus Points
Experience with
LLMs and AI-driven analytics . Background in
healthcare data
or compliance-heavy environments. Familiarity with
embedded analytics
and building data products for customers. Benefits
Competitive Compensation: We offer a compelling salary and equity package to recognize and reward your contributions. Location: vibrant, collaborative working space in Sarona Tel Aviv, near HaShalom station. Hybrid Work Flexibility: Tel Aviv-based employees are expected to come into the office 3 days per week. EEO Statement
Canopy is proud to be an equal opportunity employer that is committed to diversity, equity, and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. #J-18808-Ljbffr
Join Us in Revolutionizing Oncology Care! At Canopy, were transforming healthcare for cancer patients by shifting from episodic treatment to continuous, patient-centered care. Our technology empowers patients to manage symptoms, access support, and stay connected to their care teamsensuring 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 strengthening patient-provider connections and improving adherence, Canopy delivers life-saving results while elevating patient satisfaction to new heights. Join us in shaping the future of oncology care! What Youll Do
Lead Analytics Engineering
Own the companys analytics stack end-to-end, shaping strategy and execution. Redesign & Scale Infrastructure
Revisit and modernize our current data pipelines, models, and architectures. Drive Business Insights
Build reliable data solutions for internal stakeholders, ensuring our teams have the insights they need. Enable Embedded Analytics
Develop analytics products that empower our customers with actionable, data-driven insights. Integrate AI & LLMs
Experiment with and implement AI-driven approaches to unlock new capabilities and smarter analytics. Cross-Team Collaboration
Partner with product, engineering, and clinical teams to ensure data directly fuels impact. What Youll Bring
5+ years of experience in Data Engineering/Analytics Engineering. Strong proficiency in
Python ,
SQL
and modern data tools. Hands-on experience with
Big Data technologies
(e.g., Spark, Snowflake, Airflow). Deep understanding of
data modeling, pipelines, and infrastructure at scale . Experience with
cloud platforms
(AWS/GCP). Strong problem-solving and analytical skills, with the ability to connect data to business impact. Bonus Points
Experience with
LLMs and AI-driven analytics . Background in
healthcare data
or compliance-heavy environments. Familiarity with
embedded analytics
and building data products for customers. Benefits
Competitive Compensation: We offer a compelling salary and equity package to recognize and reward your contributions. Location: vibrant, collaborative working space in Sarona Tel Aviv, near HaShalom station. Hybrid Work Flexibility: Tel Aviv-based employees are expected to come into the office 3 days per week. EEO Statement
Canopy is proud to be an equal opportunity employer that is committed to diversity, equity, and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. #J-18808-Ljbffr