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Senior Data & AI Engineer

Who We AreAbout CobaltCobalt 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 pen testing could improve. Today, our diverse, fully remote team is committed to helping organizations of all sizes with seamless, effective, and collaborative Offensive Security Testing that empowers 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 and 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 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.The TeamAs 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 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 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.How You’ll Make An Impact• Data Engineering Excellence: Design, build, and maintain scalable and robust data pipelines in BigQuery, ensuring data integrity and efficiency. Empower finance, marketing, and products with data and provide businesses 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 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.You Have• 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.Bonus If You Have• 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 be able 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.Pay Range DisclosureCobalt 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 be impacted by proximity to major metropolitan cities.Why You Should Join Us• Grow in a passionate, rapidly expanding industry operating at the forefront of the Pentesting industry.• Work directly with experienced senior leaders with ongoing mentorship opportunities.• Earn competitive compensation and an attractive equity plan• Save for the future with a 401(k) program (US) or pension (EU)• Benefit from medical, dental, vision, and life insurance (US) or statutory healthcare (EU)Leverage stipends for:• Wellness• Learning & Development• WFH Office Equipment• WiFi• Please maximize our flexible, generous, paid-time-off options.Diversity at CobaltWith 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 meet all 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 (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.
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What You Should Know About Senior Data & AI Engineer, Cobalt

At Cobalt, we're on a mission to redefine cybersecurity with our innovative approach, and we're looking for a talented Senior Data & AI Engineer to join our fully remote team in the United States. In this role, you'll be at the intersection of data infrastructure and AI-driven solutions, utilizing tools such as Google BigQuery and Looker Studio to design and maintain scalable data pipelines. Your insights will empower various teams, from finance to marketing, as you collaborate to provide data-driven solutions that spur product innovation. A significant part of your role will include integrating generative AI into our data systems, thus helping to shape the future of cybersecurity with cutting-edge technology. We value those who not only understand data but are also passionate about AI and ML. You'll have the chance to manage our data lake and warehouse, ensuring they're optimized for AI applications while utilizing Terraform for infrastructure as code. The ideal candidate will have at least five years of experience in data engineering, a strong background in Python and SQL, and excellent communication skills to thrive in our diverse and inclusive environment. If you're excited about transforming the cybersecurity landscape and eager to learn and grow, we invite you to be part of this incredible journey with Cobalt. Your expertise will help organizations operate fearlessly and innovate securely. Let's shape a safer digital world together!

Frequently Asked Questions (FAQs) for Senior Data & AI Engineer Role at Cobalt
What are the primary responsibilities of a Senior Data & AI Engineer at Cobalt?

As a Senior Data & AI Engineer at Cobalt, you'll be responsible for designing and maintaining scalable data pipelines using Google BigQuery, integrating AI and machine learning applications into our data systems, and collaborating with cross-functional teams to deliver actionable insights that drive product innovation. Approximately half of your time will focus on data engineering excellence, while the other half will involve advancing our AI initiatives.

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What qualifications are needed to become a Senior Data & AI Engineer at Cobalt?

To qualify as a Senior Data & AI Engineer at Cobalt, you should have a minimum of 5 years of experience in data engineering, particularly with tools like Google BigQuery, Looker Studio, and DBT. Proficiency in Terraform, Python, and SQL is essential, along with a strong understanding of machine learning and generative AI. Excellent communication skills in a remote setting are also a must.

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What technologies will a Senior Data & AI Engineer at Cobalt work with?

In the role of Senior Data & AI Engineer at Cobalt, you'll work primarily with Google BigQuery, Looker Studio, and DBT for data management, as well as utilizing Terraform for infrastructure as code. You'll also leverage Python for building applications related to data pipelines and MLOps, alongside integrating generative AI and machine learning applications within our data architecture.

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How does Cobalt support employee growth for a Senior Data & AI Engineer?

Cobalt is committed to employee growth and development. As a Senior Data & AI Engineer, you'll have ongoing mentorship opportunities and access to resources for learning and development, which help you stay at the forefront of technological advancements in the cybersecurity space. You'll also have the chance to work on challenging projects that enable you to grow your skills and expertise.

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What makes the work culture at Cobalt unique for a Senior Data & AI Engineer?

Cobalt boasts a diverse and inclusive work culture that values individual contributions. As a Senior Data & AI Engineer, you'll be collaborating with a remote team that celebrates diversity and fosters a collaborative environment. The organization is committed to equal employment opportunities and believes in providing a safe space for all employees to thrive and express themselves.

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Common Interview Questions for Senior Data & AI Engineer
Can you discuss your experience with Google BigQuery in data engineering?

When answering this question, provide specific examples of projects where you've utilized Google BigQuery, focusing on the data pipelines you built and any performance improvements achieved. Highlight your ability to ensure data integrity and your strategies for handling large datasets efficiently.

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How have you integrated AI into data systems in previous roles?

Detail your experience in implementing AI solutions, specifically mentioning any generative AI projects. Describe your collaboration with cross-functional teams and the impact these integrations had on decision-making or product development. Use numbers and results if possible.

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What challenges have you faced in data engineering and how did you overcome them?

Discuss specific challenges, such as scaling data pipelines or ensuring data quality, and elaborate on the strategies you employed to tackle them. It's important to show problem-solving skills and adaptability while emphasizing learning outcomes from those experiences.

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Describe your proficiency with Python and how you've used it in data engineering tasks.

Provide examples of Python scripts or applications you've developed for data transformation, event triggering, or MLOps. Discuss your familiarity with libraries commonly used in data engineering, as well as how your Python skills have contributed to successful projects.

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How do you approach collaboration with different teams to understand their data needs?

In your response, highlight your communication skills and willingness to engage with stakeholders to gather requirements. Describe how you've worked with teams in the past to translate their needs into actionable data solutions or insights.

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What is your experience with Terraform and infrastructure as code?

Explain your hands-on experience with Terraform, detailing how you've used it to automate infrastructure deployment. Discuss any challenges you faced and how Terraform has enhanced your workflow, ensuring scalability and reproducibility in your projects.

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Can you give an example of a successful project that involved ML applications?

Share a project where you integrated machine learning in a data-intensive environment, focusing on your role and the tools you used. Discuss the outcomes, such as improved performance metrics or enhanced decision-making processes.

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How do you keep updated with the latest trends and advancements in AI and data engineering?

Demonstrate your commitment to continuous learning by discussing your methods for staying informed, such as following industry blogs, participating in webinars, or contributing to open-source projects. Mention any professional networks or communities where you share and gain knowledge.

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What best practices do you follow to maintain data integrity?

Highlight specific techniques or frameworks you use to ensure data integrity, including validation processes, monitoring tools, and error handling practices that you've implemented in your previous roles. Use examples to illustrate your methodologies.

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Why do you think your skill set is a good fit for the Senior Data & AI Engineer role at Cobalt?

In answering this question, align your technical skills, experience, and passion for both data engineering and AI with Cobalt's mission and values. Emphasize how you can contribute to driving innovative solutions that enhance cybersecurity.

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Cobalt helps associations, certification organizations, and businesses find hidden value in their customer data.

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Full-time, remote
DATE POSTED
December 5, 2024

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