Data Engineer

About Fable Security

AI-driven threats and human error are todays biggest enterprise security risks. Cybercriminals dont hack systemsthey exploit people. Human errors drive 90% of security breaches, making human behavior the primary and growing attack surface.

Fable is a security platform that mitigates human risks to the business. We built the first AI-native Human Behavior Platform to eliminate human risk wherever employees work. By leveraging GenAI and behavioral systems, we automatically detect at-risk employees, deliver personalized interventions at critical moments, and remove tangible risks to the business at scale.

Backed by Greylock Partners and founded by early Abnormal Security team members, Fable is solving cybersecuritys biggest challenge in a multi-billion-dollar market. Our team includes alumni from Meta, Twitter, Flexport, and top-tier universities like Waterloo, Columbia, Berkeley, Purdue, CMU, Stanford, USC, and UW. We are experiencing explosive growth, making this a career-defining opportunity to join and shape the future of security.

Why Join Fable as a Data Engineer

• Build and scale the foundational data systems behind a new category in cybersecurity.
• Partner closely with data scientists, backend engineers, and security practitioners to operationalize data at scale.
• Work on unique challenges in data product versioning, historical tracking, and scalable data releases across dynamic human risk behaviors.
• Join a small, high-caliber team poised to double in size within the next year.

Your Role

As a Data Engineer at Fable, you will own the architecture, development, and reliability of our data pipelines and warehouse. Youll build scalable, observable, and versioned data infrastructure that powers Fables Human Behavior Platform from raw ingestion to analytical insights.

You will play a central role in ensuring that Fables data foundation can support real-time behavioral analysis, historical tracking, and large-scale experimentation across diverse data sources.

Responsibilities

Your Skillset : Must-Have

Your Skillset : Nice-to-Have

How We Work

Compensation

The estimated salary range for this position is $160,000 $220,000 / year . Total compensation may also include Restricted Stock Units (RSUs). Final compensation will depend on experience, qualifications, and other factors.

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