The salary range posted reflects what you can typically expect for this role. We tailor compensation to each candidate by considering market rates, experience, qualifications, and location.

Stock options are included for all roles, and additional benefits will be shared during the hiring process.

About CyberCube:

The market leader in digital analytics 📊 with the mission of delivering the world’s leading cyber risk analytics 🌐 on one of the most critical risks of today and the future.
Exceptionally well-funded startup 💰 that has raised over $100MM from top-tier investors.
Used by 75% of the top 40 US and European cyber insurance carriers & surpassing 100 clients in 2023 with a >99% retention rate.
CyberCube and its products consistently earn industry recognition 🏆, including awards like Forbes America's Best Startup Employers 2025 and Cyber Risk Solution of the Year in 2025.
Senior leadership is committed to attracting, developing, and exciting exceptional people from diverse backgrounds and enabling them to work collaboratively across disciplines to do the best work of their careers.
At CyberCube, we drive ownership for excellence ✅, empowering our team to take initiative, deliver results, and continually raise the bar.
Named on Forbes’ America’s Best Startup Employers list three years in a row (2021, 2022, 2023)! 🎖️
Learn what it’s like to be part of CyberCube’s mission: Watch this leadership team interview! 🎥

Research, design, develop, and test robust, streamlined, automated data collection systems. May perform additional duties that are similar and consistent with stated position requirements.

Qualified candidates must possess a Bachelor's degree in Data Science, Computer Science, Software Engineering, or closely related field plus 2 years of experience. Employer will accept paid or unpaid experience gained during university studies.

Of the required experience, must have experience in each of the following:

Designing and maintaining ETL data pipelines
Database design and optimization for insurance systems
Developing large-scale internal data validation applications and models
Testing and releasing system components for all stages of data lifecycle management
PostgreSQL and SQL query and schema design
Customizing and integrating open-source libraries into distributed SQL database codebase

Must pass normal background check.

Full-time telecommuting permitted from any location in the United States.

Salary Range: $124,448 to $134,000

Send resume to info@cybcube.com or
CyberCube Analytics, Inc.
345 California Street, Suite 600
San Francisco, CA 94104

Compensation Range: $124.4K - $134K

Apply now

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