At SAFE Security, our vision is to be the Champions of a Safer Digital Future and the Catalysts of Change. We believe in empowering individuals and teams with the freedom and responsibility to align their goals, ensuring we all move forward together.

We operate with radical transparency, autonomy, and accountability—there’s no room for brilliant jerks. We embrace a culture-first approach, offering an unlimited vacation policy, a high-trust work environment, and a commitment to continuous learning. For us, Culture is Our Strategy—check out our Culture Memo to dive deeper into what makes SAFE unique.

We’re looking for a Staff Data Engineer who thrives on solving complex data challenges at scale. You’ll be the technical force multiplier, leading the design of data platforms, pipelines, and lakehouse architectures that fuel AI-driven cyber risk quantification globally. If you’ve been waiting for a role where you can set data strategy, lead bold ideas, and shape large-scale data ecosystems—this is it.

What You’ll Do:

What We’re Looking For:

Preferred Qualifications:

• • Exposure to CI/CD pipelines, automated testing, and infrastructure-as-code for data workflows.
  • Familiarity with real-time analytics engines (Druid, Pinot, Rockset) or machine learning data pipelines.
  • Contributions to open-source data projects or thought leadership in the data engineering community.
  • Prior experience in cybersecurity, risk quantification, or other high-scale SaaS domain

If you’re passionate about cyber risk, thrive in a fast-paced environment, and want to be part of a team that’s redefining security—we want to hear from you!