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Data Engineer
Build scalable data pipelines connecting various cloud data sources for self-service analytics capabilities.
San Francisco Bay AreaNew York
Senior
$149,000 - 317,000 USD / year
2 months ago
✨ About The Role
- Responsible for owning, building, and maintaining scalable data pipelines that connect various cloud data sources
- Develop a deep understanding of core data models and optimize data pipelines for scale
- Partner with Data Science and Data Infrastructure teams to build foundational data sets and enable self-service capabilities
- Work with cross-functional stakeholders to derive requirements, architect shared datasets, and establish best practices for analytics and modeling
- Help coordinate across multiple internal and external teams, document, simplify, and explain complex problems to different audiences
âš¡ Requirements
- Experienced data engineer with 4+ years in a relevant field, fluent in SQL and Python, and familiar with Snowflake, dbt, Dagster, and ETL/reverse ETL tools
- Strong problem-solving skills and ability to build scalable data pipelines connecting various cloud data sources
- Excellent communication and collaboration skills to work with cross-functional stakeholders and internal/external teams
- Ability to derive requirements, architect shared datasets, and establish best practices for analytics and modeling
- Self-starting mindset with a passion for working with data systems and solving complex problems
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