Data Engineer I/II (Snowflake, Full‑Stack/AI‑ML)

About the role

JBS is seeking a hands‑on Data Engineer with 1–3 years of experience, focusing on Snowflake and either full‑stack development or AI/ML engineering. The role involves designing, building, and optimizing scalable data workflows and pipelines to support business and machine‑learning needs.

Key responsibilities

• Design, build, and maintain scalable data models, tables, views, and pipelines using Snowflake.
• Develop robust data workflows for business, application, and ML requirements, ensuring performance and cost efficiency.
• Collaborate with engineering and product teams to ingest, transform, and serve data.
• Write clean, efficient code in SQL and Python, with JavaScript exposure as needed.
• Monitor and optimize Snowflake query performance, compute utilization, and storage costs.
• Troubleshoot pipeline, query, and integration issues and support CI/CD practices.

Required profile

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, AI or related field.
• 1–3 years of professional engineering experience with mandatory Snowflake expertise.
• Strong foundation in databases, data modeling, and data transformation.
• Experience in either full‑stack development or AI/ML engineering.
• Ability to work independently in a fast‑paced contract environment.

Required skills

• Snowflake
• SQL
• Python
• JavaScript (optional)
• Cloud platforms (AWS, Azure, or GCP)
• CI/CD workflows