Python Engineer

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 pathwith 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 Yearin 2023). We were recognized with 9 awards in 2022.

7) Senior leadership has a continuous commitmentto 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.

As part of the Data Engineering team, you will be responsible for expanding and optimizing our data and pipeline architecture and data flow and collection for cross-functional teams. The Python Engineer will support our software developers who are in the Estonian office, and the data team on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects.

Responsibilities

Requirements

Additional Information

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.