Data Engineer (ONLY W2) Local to CA
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Role details
Tech stack
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Requirements
- Approximately 7+ years overall IT experience
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5+ years working with data platforms Snowflake
- 5+ years working with modern data platforms / strong Snowflake experience
- Hands-on Snowflake engineering and development
- Comfortable building solutions within Snowflake
- Strong enough platform knowledge to troubleshoot issues
- Understanding of warehouse sizing
- Query history / query plan troubleshooting
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Performance and optimization knowledge o Important: Candidate does not need to be a pure Snowflake Administrator. The preference is a builder/engineer with strong platform knowledge. Azure
- Strong hands-on Azure experience
- Understands how data engineering solutions operate within the Azure ecosystem
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Azure is one of the hiring manager’s top three skills Python
- Strong hands-on Python development
- Must be able to build solutions, automation, and prototypes with Python
- Not sufficient to only have conceptual Python knowledge
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Python is one of the hiring manager’s top three skills SQL
- Strong hands-on SQL
- Query development/troubleshooting
- Stored-procedure-oriented data work
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Ability to use SQL for diagnostics and platform engineering Builder / POC Mentality Candidate must be comfortable:
- Researching unfamiliar technologies
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Prototyping new Snowflake capabilities Building POCs
- Testing potential solutions against business/technical use cases
- Identifying limitations and trade-offs
- Developing a point of view on whether/how technology should be adopted
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Working through ambiguity without requiring established patterns AI Exposure / Hands-On Interest
- Some hands-on AI experimentation desired
- Candidate does not need to be an AI/ML expert
- Preference for someone who has built or experimented with AI, rather than simply consumed tools such as ChatGPT/Copilot
- Interest in AI agents and AI-driven automation
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Ability to apply AI concepts within the Snowflake/data platform environment Platform Troubleshooting
- Ability to troubleshoot Snowflake/data platform issues
- Performance investigation
- Root-cause analysis
- Production issue resolution
- Comfortable providing occasional L2/L3-type support
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