> Markdown version of [/jobs/ext/3860116-data-engineer-only-w2-local-to-ca](https://www.wearedevelopers.com/jobs/ext/3860116-data-engineer-only-w2-local-to-ca). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer (ONLY W2) Local to CA - **Company:** The Maven - **Location:** Dublin, CA, United States - **Experience:** Expert - **Contract:** Contract - **Skills:** 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, GPT, Data Pipelines - **Published:** October 22, 2026 - **Apply:** https://www.dice.com/job-detail/a2bd3d02-0238-40eb-b94a-24de821c9800 ## 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 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