via ZipRecruiter
$124K - 134K a year
Design, develop, test, and maintain automated data collection systems and related components for data lifecycle management.
Bachelor's degree in Data Science or related field plus 2 years experience with ETL pipelines, database design, data validation, PostgreSQL, and software integration.
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: $124,488 to $134,000 Send resume to info@cybcube.com or CyberCube Analytics, Inc. 345 California Street, Suite 600 San Francisco, CA 94104 Compensation Range: $124.5K - $134K
This job posting was last updated on 11/27/2025