Data Engineer
Location
United States
Posted
2 days ago
Salary
Not specified
Seniority
Senior
Bachelor DegreeEnglishBigQueryCloudSQL
Job Description
• Design and Development: Build and maintain scalable data models in Snowflake and BigQuery using dbt.
• Data Modeling: Translate marketing business logic (LTV, CAC, attribution, cohort analysis) into clean, optimized SQL code.
• Pipeline Optimization: Ensure Data Quality and freshness; set up tests and documentation within dbt.
• Tech Stack: Work with a modern Modern Data Stack. We use the best tools available for transformation and storage.
• Collaboration: Work closely with Growth Hackers and Marketers to understand their data needs.
Job Requirements
- SQL Mastery: You write complex, readable, and efficient queries. You know your window functions and understand the specific dialects of Snowflake/BigQuery.
- dbt (Data Build Tool): Experience with dbt (Core or Cloud) is mandatory. You know what ref, macro, and incremental models are and why tests are necessary.
- Cloud Data Warehousing: Deep understanding of Snowflake or Google BigQuery architecture.
- Marketing Domain: Understanding metrics (ROAS, ROMI, Retention) and how ad platforms (FB, Google Ads) operate is a massive plus.
- Engineering Mindset: Proficiency with Git, an understanding of CI/CD, and adherence to DRY (Don't Repeat Yourself) principles.
Benefits
- Equity-based compensation
- Flexible work arrangements
- Professional development opportunities
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