Cobalt was founded on the belief of a fundamental human aspiration: the desire to live better and safer. It all started in 2013, when our founders realized that pentesting can be better. Today our diverse, fully remote team is committed to helping organizations of all sizes with seamless, effective and collaborative Offensive Security Testing that empower organizations to OPERATE FEARLESSLY and INNOVATE SECURELY.
Our customers can start a pentest in as little as 24 hours and integrate with advanced development cycles thanks to the powerful combination of our SaaS platform coupled with an exclusive community of testers known as the Cobalt Core.
Accepting just 5% of applicants, the Cobalt Core boasts over 400 closely vetted and highly skilled testers who jointly conduct thousands of tests each year and are at the forefront of identifying and helping remediate risk across a dynamically changing attack surface.
Cobalt is an Equal Opportunity Employer and we strive to build a diverse and inclusive workforce at our company. At Cobalt we aspire to engage with diverse individuals, communities, and organizations in order to continue to nurture our unique rich diverse culture. Join our team, and be your true self to do your best work.
Description
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.
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.
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.
By joining Cobalt, you'll be part of a dynamic team shaping the future of cybersecurity through innovative data solutions. You'll have the opportunity to work on challenging projects, grow your skills, and make a tangible impact in a rapidly evolving industry. If you're excited about pushing the boundaries of data engineering and AI, we'd love to have you on our team. Let's pioneer the next wave of data-driven cybersecurity solutions together.
With over 45 nationalities already at Cobalt (and counting) we respect and celebrate diversity! We’re proudly committed to equal employment opportunities regardless of your gender, religion, age, sexual orientation, ethnicity, disability, or place of origin. We support each other and are grateful for each Cobalter's contribution to our mission.
Please apply even if you don't think you meet all of the criteria above but are still interested in the job. Nobody checks every box, and we're looking for someone excited to join the team.
Cobalt is committed to fair and equitable compensation practices. The salary range for this role is ($130,000 - $180,000) per year + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, and certifications. The salary range may differ in other states and may be impacted by proximity to major metropolitan cities.
Cobalt (the "Company") is an equal opportunity employer, and we want the best available persons for every job. The Company makes employment decisions only based on merit. It is the Company's policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law. The Company is committed to complying with all applicable laws and providing equal employment opportunities. This commitment applies to all persons involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company.
Cobalt is an E-Verify employer. E-Verify is an Internet-based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA). It allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States.
