Senior Data Engineer

Keebo is a venture-backed startup offering a cloud-based Data Learning platform for enterprise analytics. As a Senior Data Engineer, you will leverage your expertise in data engineering and ML Ops to enhance the ML platform and support the AI team in achieving critical revenue goals.

Responsibilities:

• Design and implement an AI/ML platform that balances speed of development with cloud costs
• Collaborate with the rest of the AI team achieve goals that drastically impact the revenue of the business
• Mentor AI engineers in data engineering and MLOps best practices
• Mentor engineers across Keebo in data engineering and architecture best practices

Requirements:

• Experience as a data engineer, building data pipelines, ensuring data quality, and implementing data modeling for use by ML/analytical models
• Experience with MLOps, including using automated testing and CI/CD to speed up model development
• Experience automatically monitoring the quality and effectiveness of ML/AI models from local dev through to production
• Experience with GCP or AWS
• Experience with Python and Golang, or similar
• Skilled in designing and implementing scalable, resilient data engineering and MLOps architectures that balance cost and speed of development
• Skilled in being self-directed and moving quickly to build and improve systems and architectures
• Strong communication skills and ability to advocate for data engineering best practices across the entire engineering organization
• Skilled in mentoring engineers in data engineering best practices
• Ability to work in a fast-paced early stage startup
• Skilled at communicating effectively in a distributed environment with people across multiple time zones
• Strong self-motivation, initiative, and adaptability
• Experience with Java
• Experience with Google Cloud
• Experience working as an ML/AI engineer in the past