Data Engineer – Build AI‑SOC Context Graph

About the role

Torq is looking for a Data Engineer to help build the context graph that powers its AI‑SOC platform. You will work on a senior, high‑ownership team that transforms raw customer data into normalized, actionable context for autonomous security decisions.

Key responsibilities

• Collaborate with product stakeholders to design and validate data models against real customer data.
• Run end‑to‑end proofs of concept: ingest new data sources, normalize them, correlate entities, and demonstrate value.
• Profile new datasets, measure coverage and accuracy, and identify gaps that impact the product.
• Integrate identity, endpoint, and security data sources, turning diverse feeds into reliable, consistent models.
• Build and maintain scalable data pipelines using Python, SQL and dbt, ensuring clean, well‑tested models.

Required profile

• 4+ years of experience as a Data Engineer.
• Strong analytical mindset with a product‑focused approach.
• Independent, proactive, and able to drive projects from raw data to production.
• Excellent communicator comfortable working across cross‑functional teams.

Required skills

• Python
• SQL
• dbt
• Airflow or Dagster (or similar orchestration framework)
• Neo4j or other graph database technologies