Data Engineer (ONLY W2) Local to CA

The Maven
Dublin, CA, United States
5 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Microsoft Azure Data Infrastructure Python (Programming Language) Microsoft Copilot Standard Sql SQL Stored Procedures SQL Databases Snowflake Agentic-AI Information Technology Data Management
+2 more
GPT Data Pipelines

Requirements

  • 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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