Data Engineer (ONLY W2) Local to CA

Hybrid in Dublin, CA, US • Posted 9 hours ago • Updated 9 hours ago
Contract W2
6 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Engineering
  • Snowflake
  • Python
  • Azure
  • Azure Data Cloud
  • SQL

Summary

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

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10196450
  • Position Id: SMVA07
  • Posted 9 hours ago
Contact the job poster
SV

Shobhit Vasudev

Recruiter @ Maven Companies

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