Google Cloud Platform Data Engineer with GenAI (Only w2 candidate)

Job Description:

• 8+ years of data engineering or software engineering experience, ideally with large-scale financial or transactional data
• Strong SQL skills, with hands-on BigQuery (or equivalent modern data warehouse) experience
• Proficiency in Python and/or Java for pipeline development and automation
• Experience with Google Cloud Platform (BigQuery, Cloud Composer/Airflow, Dataflow, Pub/Sub, or equivalents)
• Hands-on experience building with LLMs prompt engineering, function/tool calling, or RAG pipelines
• Understanding of ETL/ELT design, data modeling, and performance tuning at scale
• Excellent communication skills able to translate ambiguous business asks into concrete technical specs (data or AI-based)
• Comfort working directly with non-technical stakeholders (ops, compliance, finance) and adapting quickly to their domain
• High tolerance for ambiguity, shifting priorities, and production firefighting

Preferred Qualifications

• Experience building with Claude, OpenAI, or similar LLM APIs in production or internal-tool contexts
• Familiarity with MCP (Model Context Protocol) building or configuring MCP servers/skills that connect LLMs to internal tools
• Experience with vector databases and embedding-based search for RAG applications
• Experience with financial reconciliation logic (PDA/CASH/VDA/SDA-type matching, or equivalent)
• Prior exposure to AI adoption/usage analytics, cost monitoring, or slot/performance optimization at scale