Data Systems and DevOps Engineer/Scientist

About this kind of role

What a Data Systems and DevOps Engineer/Scientist usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains data infrastructure and automation pipelines. This role involves collaborating with data scientists and engineers to ensure data is accessible, reliable, and performant. Responsibilities often include implementing DevOps practices to streamline data workflows and improve system efficiency. Troubleshooting and optimizing existing data systems are also common tasks.

Tools and skills: Proficiency in cloud platforms (like AWS, Azure, or Google Cloud), scripting languages (Python, Bash), containerization technologies (Docker, Kubernetes), and data warehousing tools (Snowflake, Redshift) is generally expected, alongside strong understanding of DevOps principles and data engineering concepts.

Good fit for: Individuals with a blend of data engineering and DevOps experience, a strong analytical mindset, and a passion for automating complex processes, typically thrive in this role.