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.

Requirements:

• 5+ years of experience in Data Engineering, ideally within high-scale or high-growth environments.
• 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.
• 5+ years of hands-on coding experience in Python or Node.js.
• 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.

Equal Opportunities:

Hyro is an equal opportunity employer. We do not discriminate against any employee or job applicant on the basis of race, color, gender, national origin, age, religion, creed, disability or sex.