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Data Engineer (ONLY W2) Local to CA

Maven CompaniesDublin, CA🇺🇸United StatesPosted Oct 21, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Dublin, CA, United States
Posted
21 hours ago
SQLSnowflakePythonGenerative AIAzure

Job Description

Experience Target
•                Approximately 7+ years overall IT experience
•                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
•                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
•                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
•                Python is one of the hiring manager's top three skills
SQL
•                Strong hands-on SQL
•                Query development/troubleshooting
•                Stored-procedure-oriented data work
•                Ability to use SQL for diagnostics and platform engineering
Builder / POC Mentality
Candidate must be comfortable:
•                Researching unfamiliar technologies
•                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
•                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
•                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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