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# Snowflake Data Engineer (Only W2) - Local to Bay Area CA

- **Company:** The Maven
- **Location:** Dublin, CA, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Data Analysis, Apache HTTP Server, Architectural Patterns, Microsoft Azure, Cloud Database, Data Infrastructure, Extract Transform Load (ETL), Python (Programming Language), Microsoft Copilot, Standard Sql, SQL Databases, System Availability, Snowflake, Agentic-AI, Information Technology, Data Management, GPT, Data Pipelines
- **Published:** October 22, 2026
- **Apply:** https://www.dice.com/job-detail/32660174-8bbd-42ea-825d-001818ad9b79

## About the Role

* 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

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

## Description

The engineer will:

 * Build and prototype new Snowflake capabilities
 * Develop solutions using Python and SQL
 * Research emerging data and AI technologies
 * Build POCs to determine whether new capabilities should be adopted
 * Experiment with AI/agent-based solutions
 * Troubleshoot and optimize the existing Snowflake/Azure environment
 * Improve platform performance, reliability, automation, and cost efficiency
 * Help establish practical approaches for technologies where mature patterns may not yet exist

The ideal person is a builder + experimenter + data engineer, rather than someone focused primarily on traditional ETL development.

Duties/Day to Day Overview

 * Approximately 60% innovation / 40% platform support
 * Research and evaluate emerging Snowflake, cloud data, and AI capabilities
 * Build rapid POCs and prototypes
 * Develop hands-on solutions using Python, SQL, Snowflake, and Azure
 * Experiment with Snowflake capabilities including potential AI/agent use cases
 * Evaluate new technologies and develop recommendations for adoption
 * Build within the Snowflake environment
 * Investigate query history/plans, warehouse sizing, and performance issues
 * Troubleshoot complex data/platform issues
 * Participate in root-cause analysis and issue resolution
 * Help optimize Snowflake performance and consumption
 * Support platform automation and operational improvements
 * Contribute to monitoring, observability, and platform reliability
 * Collaborate across engineering, architecture, analytics, and infrastructure teams
 * Occasionally assist with L2/L3-type production escalations
 * Explore emerging architecture patterns including Apache Iceberg/open table formats