Data Engineer (AI)

TL;DR

Data Engineer (AI): Building and scaling high-throughput data pipelines for activity monitoring with an accent on Spark and ClickHouse performance optimization. Focus on architecting robust ETL processes to handle terabyte-scale datasets and ensuring data integrity for enterprise-grade security products.

Location: Tel Aviv (Onsite)

Company

Cyera is a security platform building a unified control plane to secure data, access, and behaviors in the age of AI.

What you will do

• Architect and scale high-throughput, multi-stage ETL pipelines processing billions of activity events.
• Build and optimize distributed processing workloads using Spark and analytical workloads in ClickHouse.
• Own end-to-end data modeling, converting raw activity data into a unified, trusted model.
• Partner with product and engineering teams to translate strategic requirements into production-ready pipelines.
• Champion data quality by designing validation, testing, and monitoring systems.
• Monitor and optimize infrastructure spend across compute, storage, and orchestration.

Requirements

• 4+ years of experience as a data engineer building and operating production data systems.
• Strong proficiency in SQL, including complex transformations and performance optimization.
• Hands-on experience with Spark or similar distributed processing frameworks at scale.
• Proven experience designing high-throughput ETL/ELT pipelines and incremental processing patterns.
• Proficiency in Python for pipeline development, tooling, and automation.
• Strong communication skills for discussing technical tradeoffs and translating product needs.

Nice to have

• Production experience with ClickHouse or other columnar/OLAP systems.
• Experience with streaming and messaging systems like Kafka.
• Familiarity with AWS data services such as S3, EMR, Databricks, or ECS.
• Experience with CDC/data replication tools like Debezium.
• Exposure to data security, privacy, or compliance domains.

Culture & Benefits

• Work on high-velocity infrastructure shipping weekly to Fortune 1000 customers.
• Opportunity to solve complex scale challenges in the rapidly evolving AI security space.
• Collaborative environment focused on technical excellence and data-driven decision-making.