Data Specialists (San Francisco, CA)

Reposted 15 Days Ago
Be an Early Applicant
San Francisco, CA
Hybrid
124K-134K Annually
Junior
Fintech • Insurance • Software • Analytics
Delivering data-driven cyber risk analytics for the insurance industry
The Role
Research, design, develop, and test automated data collection systems. Role requires experience in ETL, database optimization, and data validation applications.
Summary Generated by Built In

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 [email protected] or
CyberCube Analytics, Inc.
345 California Street, Suite 600
San Francisco, CA 94104

Top Skills

Postgres
SQL
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The Company
HQ: San Francisco, CA
138 Employees
Year Founded: 2018

What We Do

CyberCube is a SaaS technology company, developing world-leading cyber risk analytics and modeling to help society understand the financial impact of cyber risk. We enable society to make better decisions about which digital risks to avoid, mitigate or insure as internet-connected technologies change the nature of risk in the 21st Century.

CyberCube delivers world-class insight-driven analytics, built specifically for the insurance ecosystem. We’re helping our customers all over the world use our data and analytics applications to enable insurance placement, underwriting decisions, and portfolio management optimization. We help power insight-driven decisions to grow cyber insurance in a sustainable, profitable way.

We help the cyber insurance market to grow profitably through the use of our world-leading cyber risk analytics.

We give insurers the ability to take insight-driven risk decisions, see trends before they become claims and tackle complex and important challenges.

The combined power of our unique data, multi-disciplinary analytics and cloud based technology helps with insurance placement, underwriting selection and portfolio management optimization.

Our deep bench of experts from data science, security, threat intelligence, actuarial science, software engineering and insurance helps the global insurance industry by selecting the best sources of data and curating it into data sets to identify trustworthy early indicators of risks and build a forward-looking view of them.

Why Work With Us

Our supportive and respectful environment increases the participation and contribution of all employees, with personal development and inclusion being priorities. We deeply care about the wellbeing of our employees and strive for a fun and healthy environment where you'll be able to roll your sleeves up and learn with like-minded talented people.

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