Torq

1 day ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 33 minutes agoStatus: Live

Job Summary

Build the context graph that powers an AI-SOC platform by transforming raw customer data into clean, normalized, well-tested models. Collaborate with stakeholders to design and validate data models against real customer data, run end-to-end POCs to ingest and correlate new sources, and analyze coverage and accuracy. Integrate identity, endpoint, and security data, and engineer scalable pipelines using Python, SQL, and dbt.

Location: Tel Aviv

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Design meaningful data models and continuously validate them against real customer data.
•Run end-to-end POCs by connecting new data sources, ingesting and normalizing data, correlating entities across systems, and demonstrating value.
•Profile new data and measure coverage and accuracy to identify gaps that matter to the product.
•Integrate identity, endpoint, and security data sources into reliable, consistent models.
•Build and own scalable data pipelines that transform raw data into clean, normalized, well-tested models using Python, SQL, and dbt.

Key Requirements

•4+ years as a Data Engineer or in a similar data-focused engineering role.
•Strong proficiency in SQL and Python, including relational data modeling and integrating data from external APIs.
•Analytical, product-minded approach to investigate datasets, validate findings, and translate insights into scalable solutions.
•Independent ownership to drive projects from raw data to production-ready solutions.
•Experience working with AI agent systems and evaluating their outputs.

Experience:4+ years

Skills:CommunicationCollaborationOwnershipAnalytical mindset

Languages:English

Tech Stack:PythonSQLDbtAirflowDagsterGraph databasesNeo4j

Company Brief

Torq

Provides a no-code/low-code security automation platform (SOAR) enabling security teams to automate detection, response, and identity/security operations workflows across cloud and SaaS environments to accelerate incident response and reduce alert fatigue.

Industry: Cybersecurity

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: San Francisco, United States

Website

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Torq

1 day ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 33 minutes agoStatus: Live

Job Summary

Location: Tel Aviv

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Design meaningful data models and continuously validate them against real customer data.
•Run end-to-end POCs by connecting new data sources, ingesting and normalizing data, correlating entities across systems, and demonstrating value.
•Profile new data and measure coverage and accuracy to identify gaps that matter to the product.
•Integrate identity, endpoint, and security data sources into reliable, consistent models.
•Build and own scalable data pipelines that transform raw data into clean, normalized, well-tested models using Python, SQL, and dbt.

Key Requirements

•4+ years as a Data Engineer or in a similar data-focused engineering role.
•Strong proficiency in SQL and Python, including relational data modeling and integrating data from external APIs.
•Analytical, product-minded approach to investigate datasets, validate findings, and translate insights into scalable solutions.
•Independent ownership to drive projects from raw data to production-ready solutions.
•Experience working with AI agent systems and evaluating their outputs.

Experience:4+ years

Skills:CommunicationCollaborationOwnershipAnalytical mindset

Languages:English

Tech Stack:PythonSQLDbtAirflowDagsterGraph databasesNeo4j

Company Brief

Torq

Industry: Cybersecurity

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: San Francisco, United States

Website