We are looking for a Data Engineer to join our data team. The data team at Mill provides frameworks to collect, transform, and curate data both for internal use and user facing features. You’ll work with product, analytics, and the engineering team to design and implement data systems.

What you’ll do

• Develop, test, and deploy scalable data pipelines processes on cloud-based infrastructure using AWS and Snowflake
• Design, implement, and manage data access and management systems in Snowflake
• Optimize and tune Snowflake performance, including query optimization, resource management, and scaling strategies
• Solve challenges faced by a growing data team involving data storage, transformation, and security
• Read, write, and debug data processing and orchestration code written in SQL and Python

Relevant Skills and Experience

• 3 - 5 years of experience as a data engineer or software engineer writing and testing data pipelines using Snowflake and AWS
• Hands on experience with Snowflake administration and familiarity with Role Based Access Control (RBAC)
• Experience with Infrastructure as Code tools (CDK, Terraform)
• Knowledge of best practices in collecting, cleaning, and managing data across Snowflake and other platforms like Customer Data Platforms and reporting platforms
• Experience writing Python and SQL

The estimated base salary range for this position is $170k to $190k, which does not include the any benefits or equity. Various factors are considered in making compensation decisions, including but not limited to experience, training, licensure and certifications, and business and organizational needs.