Design, build, and maintain scalable data models and pipelines.
Collaborate with data scientists, analysts, and teams to translate needs into data solutions.
Design, implement, and maintain Core Data tables for analytics sources.
Develop integrations with diverse data sources for analytics initiatives.
Apply data management best practices for reliability and quality.
Set company-wide standards for data structure and quality.

🎯 Requirements

3+ years in Data Engineering or analytics.
2+ years with DBT and modern data tools.
Advanced SQL and database design/transformations.
Experience orchestrating data workflows (Airflow, etc).
ETL/ELT and data warehouse experience (Snowflake).
Python programming; Looker familiarity a plus.

🎁 Benefits

Hybrid work with in-office days: 2 days in office per week, later 3 days.
Up to four weeks fully remote per year.
Equity and total compensation opportunities.

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