Senior Data Engineer, Cobalt
+ Equity
Penetration testing software provider
Job no longer available
Penetration testing software provider
501-1000 employees
Job no longer available
+ Equity
501-1000 employees
Company mission
To become the world's interface to the security workforce.
Role
Who you are
- Proven Expertise: Minimum of 5 years experience in data engineering with a strong background in Google BigQuery, Looker Studio, and DBT
- Technical Proficiency: Expertise in Terraform, Python, and SQL for data transformation and infrastructure management
- Communication Skills: Excellent verbal and written communication skills in English, enabling effective collaboration in a remote setting
- Learning Agility: Eagerness to learn new technologies and approaches, with a proactive mindset and willingness to contribute ideas
- AI and ML Knowledge: Understanding of Machine Learning and Generative AI
- Residency: Must be a resident of Germany
Desirable
- Advanced AI/ML Experience: Deep involvement in AI-driven projects, particularly in generative AI and MLOps. Familiarity with LangChain or similar frameworks is a plus
- Community Engagement: Involvement in the data science community, through contributions to open-source projects, publications, or speaking at conferences
- Additional Technical Skills: Knowledge of additional programming languages or data tools beyond the primary tech stack is a plus
What the job involves
- As a Senior Data Engineer (AI) at Cobalt, your role is uniquely designed to intertwine the realms of Data Infrastructure and AI-driven innovation
- You will engage in shaping our sophisticated data infrastructure, mastering tools like Google BigQuery, Looker Studio, and DBT, while concurrently spearheading our efforts in generative AI
- Your expertise will be crucial in utilizing data to revolutionize cybersecurity solutions
- Approximately half of your time will be dedicated to developing and enhancing our data infrastructure, ensuring it's both robust and adaptable
- The remainder will focus on the integration and advancement of AI and ML applications, significantly influencing the efficiency and effectiveness of our cybersecurity services
- This role is an ideal match for those who are equally passionate about the foundational aspects of data engineering and the pioneering frontiers of AI
- It offers an extraordinary opportunity to be at the vanguard of transforming the cybersecurity landscape, paving the way for a more secure digital future
- Data Engineering Excellence: Design, build, and maintain scalable and robust data pipelines in BigQuery, ensuring data integrity and efficiency. Empower finance, marketing and product with data as well as providing business with valuable data insights
- AI and ML Implementation: Collaborate closely with Software Engineers to integrate Generative AI and Large Language Models into our data systems, focusing on automation and advanced analytics. Manage our data lake and warehouse to also support AI and ML initiatives
- Infrastructure Management: Utilize Terraform for infrastructure as code and develop Python applications for data importation, event-triggering processes, MLOps and more
- Cross-Functional Collaboration: Work with various teams to understand data requirements and deliver insights and solutions that drive decision-making and product innovation
Our take
Cobalt is a penetration testing platform providing PtaaS to significantly improve the efficiency and deliverability of penetration testing. The company is working to transform a multi-billion dollar industry that is set to grow in value as vulnerabilities become an increasing liability.
Its approach, using a curated marketplace of 400+ highly vetted ethical hackers, is pioneering in an industry typically hobbled by inefficient practices. Existing services tend to deliver a PDF list of vulnerabilities at the end of a testing period, whereas Cobalt delivers results in real-time, integrated into the client’s existing environment.
Usefully for Cobalt, smaller and larger businesses alike have the need for its offering, as the use (and protection) of data becomes increasingly important across all scales. In an age where hacker tech is rapidly developing, Cobalt's continuous pen-testing will no doubt prove a vital and attractive tool, and the company's recent integration of AI will support its users in combatting more complex threats.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Aug 2020
$29m
SERIES B
May 2018
$5m
SERIES A
Total funding: $36.5m
Company benefits
- Equity plan
- 401k matching for retirement savings plan
- Paid parental leave
- Flexible PTO, to support work life balance from anywhere in the US, UK, and Germany
- Monthly WFH stipends for equipment, lunches, wellness and learning & development
- Work directly with experienced senior leaders
- Make your mark in the rapidly expanding PtaaS space
- Join an award-winning “best workplace” and fast growing team
Company HQ
South Beach, San Francisco, CA
Leadership
Sonali Shah
(CEO)Joined Cobalt as CEO in 2024. They are a seasoned Business Leader with more than 20 years of experience scaling high-growth businesses across the cybersecurity landscape.
Lisa Matherly
(CMO)Joined Cobalt as CMO in 2023. They have over 2 decades of experience in B2B Marketing and Cyber Security. Prior to Cobalt, they spent most of their career at McAfee, Intel, and 3Com in various leadership roles across Marketing, Customer Service, and Sales.
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