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Google Cloud Platform Data Engineer :: Onsite :: W2 Position

Trebecon LLCSan Jose, CA🇺🇸United StatesPosted 24 Jul 2026

Why This Role Stands Out

This engaging role offers a fantastic opportunity to work with cutting-edge Google Cloud Platform and GenAI technologies, driving significant impact within a reputable company. You’ll thrive here if you are a seasoned data engineer with strong SQL, Python/Java, and GCP skills, eager to innovate and contribute to advanced data solutions. Apply now to elevate your career in this exciting data engineering and GenAI position.

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Role: Forward Deployed Engineer — Data Engineering & GenAI

Location: San Jose,CA- onsite

W2 Position

  

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

 

Skills

SQL
ETL
Airflow
BigQuery
Google Cloud
Java
LLM
Python

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