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Horizon3.ai

Autonomous pentesting SaaS for vulnerabilities

Senior/Staff Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • Strong software engineering craft, including clean, correct, maintainable code and solid data-structure and problem-solving fundamentals.
  • Deep understanding of distributed systems and data architecture, including pipeline and platform design, batch versus streaming, change data capture, event contracts, multi-tenant and multi-region trade-offs, reprocessing, and observability.
  • Fluent SQL and strong data-modeling skills, including designing schemas for a warehouse the team owns.
  • Experience owning production data infrastructure end to end.
  • Seven or more years of professional experience in data engineering, infrastructure engineering, or backend software engineering.
  • A bachelor's degree in Computer Science or a related field, or equivalent practical experience.
  • Experience with cloud-based data platforms and distributed data processing, such as AWS Glue, Databricks, Snowflake, or Spark-based pipelines.
  • Experience with Tableau or a comparable business intelligence platform.
  • Experience with SQL and Python.
  • Experience with workflow orchestration tooling such as Apache Airflow, Dagster, or similar.

Responsibilities

  • Design, build, and maintain business-critical data pipelines, including data ingestion and AWS Glue/Spark jobs feeding the warehouse and Tableau.
  • Build and operate core data infrastructure, including the data warehouse, orchestration, and business intelligence/reporting platform deployed across multiple regions.
  • Help evaluate and shape the warehouse strategy, including lakehouse platforms such as Databricks.
  • Define and evolve batch or event-driven contracts between producer and consumer teams, reasoning through batch versus streaming, change data capture, reprocessing, and multi-tenant and multi-region trade-offs.
  • Design and evolve warehouse schemas and data models.
  • Build observability into pipelines and platform components.
  • Drive work across producer and consumer teams, communicate clearly, and own outcomes end to end.

About the Company

Horizon3.ai

Autonomous pentesting SaaS for vulnerabilities

Horizon3.ai specializes in cybersecurity by offering NodeZero, a SaaS platform for autonomous penetration testing. It lets enterprises simulate cyber-attacks on their own systems in a self-service way, without installing persistent agents, and without ongoing human intervention. The platform works by running security-focused attack simulations in production environments to uncover exploitable vulnerabilities and weak controls, delivering vulnerability assessments, threat simulations, and compliance-oriented testing through tiered subscription plans. This approach differentiates Horizon3.ai from traditional pentesting by being self-service, agentless, and safe to run in live environments, while targeting enterprise customers that must meet standards such as PCI DSS. The company aims to help organizations improve their security posture, prioritize remediation, and maintain regulatory compliance by continuously identifying and fixing weaknesses.

Company size
501-1,000
Company stage
Series E
Total funding
$437M
Headquarters
San Francisco, CA
Founded
2019

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