Senior Data Engineer

Grab your cape, become a SuperHyro!

Hyro, the leader in Responsible AI Agents for Healthcare, enables health systems to safely automate workflows and conversations across their most valuable platforms, services, and channels - including call centers, websites, SMS, mobile apps, and more. Hyro's clients, which include Intermountain Health, Baptist Health, and Hackensack Meridian Health, benefit from AI agents that are fully HIPAA-compliant, fast to deploy, easy to maintain, and simple to scale - generating better conversations, successful patient outcomes, and revenue-driving insights.

What Are We Looking For?

We are searching for a Senior Data Engineer to join our growing team in Tel Aviv and serve as a cornerstone of Hyro’s data evolution. We need an experienced, high-impact engineer ready to elevate our infrastructure from "functional" to "world-class."

As a pivotal member of the team, you won’t just build pipelines; you will architect the future of our data ecosystem. We’re looking for someone who obsesses over query latency, high-performance analytics, and cost-efficiency - someone who views data integrity as non-negotiable and thrives on turning complex event streams into elegant, scalable models.

Responsibilities:

• Lead the end-to-end data strategy, evolving our event-driven architecture to ensure seamless, low-latency data flow across the organization.
• Design and implement robust, scalable data models that serve as the "single source of truth" for the entire organization.
• Act as our internal Snowflake expert - optimizing performance and cost through best practices in clustering, materialized views, and warehouse management.
• Build and maintain sophisticated ELT/ETL pipelines that transform raw event data into actionable insights, with a heavy focus on reliability and observability.
• Proactively identify infrastructure bottlenecks and re-engineer processes to handle increasing scale without breaking a sweat.
• Partner closely with Product and Engineering teams to translate business needs into technical reality, while mentoring analysts and peers on high-quality SQL and architectural standards.
  
  

• 5+ years of experience in Data Engineering, ideally within high-scale or high-growth environments.
• 5+ years of hands-on coding experience in Python or Node.js.
• Deep experience with modern data warehouses and relational databases (e.g., Snowflake, BigQuery, PostgreSQL, or MySQL).
• Deep expertise in Snowflake (internals, optimization, and credit management) is a significant advantage.
• A master’s grasp of data modeling principles and a passion for creating clean, documented, and reusable data structures.
• A proactive team player who thrives in time-sensitive, high-volume environments and can communicate complex technical concepts clearly.