Senior Data Engineer (AI)

TL;DR

Senior Data Engineer (Python/SQL): Designing and implementing scalable ELT/ETL data pipelines and cloud warehousing solutions for an AI-native HR platform with an accent on bridging engineering and analytics. Focus on developing infrastructure for autonomous agentic workflows, LLM integrations, and high-volume real-time event processing via Kafka.

Location: Israel

Company

hirify.global is an AI-native platform powering Agentic HR, serving over 1.5 million employees across 30+ Fortune 500 companies.

What you will do

• Design, build, and maintain highly scalable ELT/ETL data pipelines and modern cloud data warehousing solutions.
• Develop and monitor Python services responsible for robust data collection and ingestion.
• Perform hands-on data analysis to interpret complex datasets and deliver actionable business insights.
• Optimize data infrastructure specifically designed to support autonomous agentic workflows and LLM integrations.
• Maintain Kafka consumer applications that process high-volume event streams in real-time.
• Collaborate with engineering and product teams to define data requirements and enforce quality SLAs.

Requirements

• 5+ years of experience in a Data Engineering role with a strong background in data architecture.
• Exceptional proficiency in SQL and Python for data manipulation and pipeline automation.
• Deep hands-on experience with Airflow, dbt, and cloud platforms such as BigQuery, Databricks, or Snowflake.
• Demonstrated ability to act as a Data Analyst to query data, build reports, and extract insights.
• Practical experience designing data infrastructure for AI/LLM-driven applications or agentic environments.
• Experience with Kafka, Kubernetes, ArgoCD, Terraform, and Debezium.

Nice to have

• Experience with BI tools like Looker, Tableau, or Power BI for advanced dashboarding.
• Experience working with graph databases or NoSQL databases.
• Experience with Python backend APIs (FastAPI/Flask) that serve aggregated analytics data.