Data Engineer - AI Infra Group at Paradise Pillow Inc.

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

17 Jan, 26

Salary

0.0

Posted On

20 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Airflow, Spark, Dbt, LLM Pipelines, Agent Orchestration, Postgres, MongoDB, Elasticsearch, Vector Databases, AWS, Data Modeling, Schema Evolution, Pipeline Observability, AI, ML

Industry

Computer and Network Security

Description

Description Dream is a pioneering AI cybersecurity company delivering revolutionary defense through artificial intelligence. Our proprietary AI platform creates a unified security system safeguarding assets against existing and emerging generative cyber threats. Dream's advanced AI automates discovery, calculates risks, performs real-time threat detection, and plans an automated response. With a core focus on the "unknowns," our AI transforms data into clear threat narratives and actionable defense strategies. Dream's AI cybersecurity platform represents a paradigm shift in cyber defense, employing a novel, multi-layered approach across all organizational networks in real-time. At the core of our solution is Dream's proprietary Cyber Language Model, a groundbreaking innovation that provides real-time, contextualized intelligence for comprehensive, actionable insights into any cyber-related query or threat scenario. We are looking for a Data Engineer who thrives at the intersection of scalable infrastructure and intelligent systems. Someone who can turn fragmented data into adaptive, self-serve pipelines that power both human analysts and autonomous agents. Responsibilities Design and maintain agentic data pipelines that adapt dynamically to new sources, schemas, and AI-driven tasks Build self-serve data systems that allow teams to explore, transform, and analyze data with minimal engineering effort Develop modular, event-based pipelines across AWS environments, combining cloud flexibility with custom open frameworks Automate ingestion, enrichment, and fusion of cybersecurity data including logs, configs, and CTI streams Collaborate closely with AI engineers and researchers to operationalize LLM and agent pipelines within the CLM ecosystem Implement observability, lineage, and data validation to ensure reliability and traceability Scale systems to handle complex, high-volume data while maintaining adaptability and performance Own the data layer end-to-end including architecture, documentation, and governance Requirements None Skills 3+ years of experience as a Data Engineer or Backend Data Developer Strong experience with Python, SQL, and modern data frameworks such as Airflow, Spark, or dbt Practical understanding of LLM pipelines or agent orchestration frameworks (LangGraph, LlamaIndex, or similar) Familiarity with various database systems such as Postgres, MongoDB, Elasticsearch, and vector databases Experience building scalable data systems in AWS (EC2, S3, EKS) Solid grasp of data modeling, schema evolution, and pipeline observability Experience working closely with AI and ML teams Strong problem-solving mindset, curiosity, and the ability to move fast while keeping systems clean and reliable

Responsibilities

The Data Engineer will design and maintain adaptive data pipelines and build self-serve data systems for teams. They will collaborate with AI engineers to operationalize pipelines and ensure data reliability and traceability.