Description:

Requirements:

3–6 years in data consulting, professional services, or customer-facing data engineering role.
Strong communication skills for both executive and technical discussions.
Proficient in modern data stack: dbt, Snowflake, Databricks, orchestration tools.
Ownership mentality with problem-solving skills.
Daily AI user with a commitment to continuous learning.
Experience with legacy data stacks and migration projects is a plus.