Remote Senior Data Engineer (AI)
Cobalt
π΅ $130k-$180k
πRemote - United States
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Job highlights
Summary
Join our team and be part of a dynamic team shaping the future of cybersecurity through innovative data solutions. As a Senior Data Engineer (AI) at Cobalt, 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.
Requirements
- 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
Responsibilities
- 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
- 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
- Utilize Terraform for infrastructure as code and develop Python applications for data importation, event-triggering processes, MLOps and more
- Work with various teams to understand data requirements and deliver insights and solutions that drive decision-making and product innovation
Benefits
- Earn competitive compensation
- 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
- Work-from-home equipment & wifi
- Learning & development
- Make the most of our flexible, generous paid time off and paid parental leave
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