Data Engineer

Unknown

Remote regions

US

Benefits

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Responsibilities:

  • Build and maintain scalable data pipelines using Python, dbt, and Snowflake-native tooling (Tasks/Streams) deployed on AWS (S3, Airflow, ECS).
  • Assist in migrating existing Dataiku pipelines into Snowflake to simplify architecture and improve efficiency.
  • Continuously improve workflows for performance, reliability, and maintainability.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
  • At least 5 years of experience as a Data Engineer or in a similar role.

Required Skills & Experience:

  • Snowflake expertise: SQL, Tasks/Streams, and performance.
  • Cloud experience: Hands-on with AWS (S3, VPC, IAM, Airflow, ECS; Lambda a plus).
  • Data modeling: Familiar with dimensional modeling, database design, and semantic layer design.

Unknown

The Enterprise Analytics Center of Excellence is building a next-generation analytics stack centered on Snowflake, AWS, and Sigma. The team focuses on collaboration, continuous improvement, and enabling analytics teams with reliable data.

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