Data Specialist

About CyberCube:

1) 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.

2) Exceptionally well-funded startup that has raised over $100MM of capital from top-tier investors that has no need for any additional capital in this current market environment

3) Explosive team growth (from 15 employees in SF to >100 people globally).

4) Explosive client base growth path with a >99% retention rate.

5) An incredibly diverse, collaborative, and high-performing team of insurance industry professionals, data scientists, and engineers who love working here.

6) CyberCube and its products win industry awards every year (eg. Cyber Risk Solution of the Year & Stress Scenario Software of the Year in 2023). We were recognized with 9 awards in 2022.

7) Senior leadership has a continuous commitment to team members doing the best work of their careers.

8) CyberCube is just a place where you can get things done!

9) Ranked #11 on Forbes America's Best Startup Employers.

Role Summary:

We’re looking to hire a junior software engineer in the Data Collection (DC) team at CyberCube. This is a core R&D team at the company that takes on challenging problems and implements scalable systems for large-scale internet data collection. The DC team works closely with engineering and product teams to construct high-quality datasets. These datasets drive market-differentiating features within the CyberCube product offerings.

• Research, design, develop, and test robust, streamlined, automated data collection systems
• Maintain, monitor, and apply design updates to existing data collection systems
• Develop and continually update technical documentation
• Perform code reviews and suggest opportunities for improvements
• Deliver high-quality data analysis and present findings to cross-functional teams
• Collaborate effectively with an organization that prides strong interdisciplinarity among members
• Execute with speed and rigor within an efficient and multi-faceted startup environment

• Bachelor’s degree in Computer Science, Software Engineering, or related technical discipline
• 2 years of experience programming in Python: Strong fundamentals in data structures, algorithms, and base Python paradigms including object-oriented programming as well as functional programming concepts; Familiarity with modules commonly used for data collection, analysis, and machine learning such as Pandas, NumPy, Scikit-learn etc.

• Strong SQL query and schema design skills
• Experience with relational databases such as PostgreSQL and NoSQL data stores such as Snowflake
• Functional knowledge of containerized workflows with Docker and Kubernetes, specifically in cloud computing environments
• Knowledge of continuous integration and continuous development concepts, agile development methodologies, and version control technologies such as Git
• Eager interest in learning, evaluating, and utilizing new technologies for problem solving, specifically in complex system design
• Ability to write well-organized, readable, and efficient code
• Excellent technical communication skills: written, verbal, and visual
• Aptitude for time-sensitive analysis and troubleshooting tasks

• Comfort with working in Unix-like environments
• Experience with AWS technologies for computation, orchestration, and storage
• Experience building automated ETL pipelines or backend applications in Python and SQL
• Experience with building applications that interact with RESTful APIs
• Experience with data visualization concepts and tools such as Matplotlib, Plotly, Altair/Vega/D3.js etc.
• Experience with front-end web development geared towards dashboards and static sites for documentation
• Interest in fundamental internet technologies and concepts such as DNS, HTTP, IPv4 etc.
• Interest in internet security standards and technologies such as SSL, TLS, DNSSEC, IPsec, PGP etc.
• Interest in state-of-the-art compiled languages, specifically Go, for developing well-parallelized applications

• Play an instrumental role in reshaping one of the oldest industries in the world
• Competitive salary and unlimited PTO
• Meaningful early-stage equity
• Generous healthcare benefits with medical, dental and vision coverage
• Monthly catered lunches and happy hours
• Company-paid learning and development assistance
• Flexible working hours and ability to work remotely
• Opportunity to participate in a secondment program 
• Dependant care assistance plan 
• Company-supported mentorship program
• Grow in a collaborative, respectful, and empathetic culture

CyberCube Analytics, Inc. is an equal opportunity employer. We don’t tolerate discrimination against age, gender, gender identity, gender expression, sexual orientation, race, color, nationality, ethnicity, religion, disability, veteran status, protected genetic information or political affiliation. 

Salary : $100,000 - $120,000