Senior Data Engineer

Seeking an experienced Data Engineer with Finance & AI experience - NO C2C NOTE: Only Candidates with a LinkedIn photo showing your full face will be considered. • • • NO: C2C, sponsorship/transfer, third party candidates, F1 or OPT Stem available We're seeking a Data Engineer to build scalable data pipelines supporting finance data and advanced AI systems at our global SaaS client. This role focuses on RAG-based architectures, hallucination mitigation, and agentic AI systems deployed at scale. W2 hourly pay: $74.80/hour Benefits: Medical (we contribute $$), dental, and a Roth IRA Work Hours: PST (hours are 9am to 5pm PT) Your Location: Preference for SF Bay Area or Portland based candidates Your Employment Status: UC citizen, green card holder, or H4 (NO C2C, transfer/sponsorship/1099/F1/OPT available) Must-Have Technical Skills and Experience: • Python: Advanced data processing, automation, and AI/ML workflows. • SQL: Robust data modeling, transformation, and analytics engineering. • Snowflake: Core data platform for structured and unstructured pipelines. • AWS: Cloud services including S3, EC2, ECS, Lambda, and CodePipeline. • DBT: Expert-level data transformation and modeling. • Finance Data in SaaS: You have worked with Finance Data (preferably in a SaaS firm) • Minimum 3+ years in Data Engineering • BS or MS in Computer Science or related fields. Core Responsibilities • Pipeline Engineering: Building scalable, production-ready data pipelines. • Data Governance: Managing complex finance and enterprise datasets for maximum accuracy. • AI/ML Deployment: Developing, monitoring, and optimizing model performance. Nice-to-Have Skills • Agentic AI: LangGraph, LangChain, MCP, and Agent-to-Agent (A2A) patterns. • LLMs: Experience with OpenAI (GPT-4) and Anthropic models.