Snowflake Data Engineer

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

We are looking for a skilled Snowflake Data Engineer to join our Product and Data Science team. The ideal candidate brings a solid background in data engineering, with deep expertise in Snowflake and cloud technologies.

In this role, you will design, build, and maintain robust data pipelines, ensuring our data infrastructure is scalable, reliable, and efficient. You will partner closely with product and data scientists, providing tools, automation, and best practices to accelerate their work, improve data quality, and ensure consistency across pipelines and dashboards.

Additionally, you will play a critical role in cost optimization for data operations, owning efficient data modeling and pipeline performance. This position is also key in building and scaling our enterprise data warehouse, helping to shape the future of our data ecosystem.

RESPONSIBILITIES

- Design, develop, and maintain scalable data pipelines using Snowflake and cloud technologies.

- Own and manage cost optimization for Product and Data Science team operations.

- Optimize pipelines for performance, reliability, and efficiency.

- Build and maintain dashboards and reporting platforms using Streamlit.

- Collaborate with cross-functional teams to gather requirements and deliver robust data solutions.

- Work with modern AI tools, including Cursor, to accelerate development.

- Implement data governance, security best practices, and access control policies.

- Develop and enforce data quality checks, SLA monitoring, and dependency tracking.

- Utilize version control systems (e.g., Git) and manage deployment workflows.

- Proactively troubleshoot and resolve data-related issues.

QUALIFICATIONS

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