Related skills
bigquery snowflake sql python databricks📋 Description
- Own design and implementation of analytics-ready data models, schemas, and tables
- Build and maintain data pipelines (batch and incremental) transforming raw event/vote data
- Define and standardize core metrics used across product, research, and customer-facing evaluations
- Partner with product managers and researchers to translate evaluation questions into robust data models
- Develop and maintain dashboards, reports, and data artifacts used by internal teams and external partners
- Ensure data quality through testing, validation, monitoring, and documentation
You’ll have
- 3+ years of experience in analytics engineering, data engineering, or a closely related role
- Strong proficiency in SQL, with experience designing analytics-friendly schemas and transformations
- Hands-on experience working with a modern data warehouse (e.g., Databricks, Snowflake, BigQuery)
- Experience building and orchestrating data pipelines using Airflow or similar workflow orchestration tools
- Proficiency in Python for data transformation, validation, and pipeline development
- A strong understanding of data modeling best practices (e.g., dimensional modeling, metrics layers)
What we offer
- We offer competitive compensation and equity aligned to team location
- Comprehensive health, dental, vision, and wellness benefits
- Opportunity to work on cutting-edge AI with a small team
- Culture of transparency, trust, and community impact
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