Member of Technical Staff – Data Engineering

🔥 13 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $165k - $350k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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GC AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

⚖️ Legal

☁️ SaaS

Artificial Intelligence • Legal • SaaS

GC AI is an AI-driven legal assistant platform built for in-house legal teams. It helps lawyers draft, review, and analyze contracts and legal documents rapidly with features like Easy Prompt™ for turning plain language into legal prompts, Exact Quote with verifiable citations, a Skill Library and agents to chain tasks, and integrations such as GC AI for Microsoft Word. The product emphasizes security and privacy (SOC 2 Type II, AES-256 encryption, TLS in transit, data isolation) and explicitly does not use customer data for commercial model training. Founded by former General Counsel Cecilia Ziniti, GC AI targets in-house counsel workflows and legal research (including access to 13M+ U. S. court opinions) and is positioned as a B2B SaaS tool trusted by 1,900+ legal teams.

📋 Description

• Take ownership of the data warehouse in BigQuery: modeling, pipeline development, data quality, and performance. • Build pipelines that consolidate product usage data, CRM data, billing, customer contract data, and user analytics into a single source of truth. • Design and build internal data tools using applied AI, including natural-language query interfaces and automated reporting, so the rest of the company can self-serve without waiting on an analyst. • Set up the warehouse so business teams can run their own queries and pull their own numbers without filing a ticket. • Build toward a data lake architecture that supports personalization and model fine-tuning for the GC AI product. • Keep the stack lean. Use what's available in BigQuery and the broader GCP ecosystem and make smart decisions to reduce complexity and cost without introducing tool sprawl. • Define data engineering practices, tooling, and standards as the first hire on what will become a team.

🎯 Requirements

• 5+ years of experience in data engineering, with hands-on experience building and maintaining data warehouses and pipelines. • Strong SQL skills and deep experience with BigQuery or comparable analytical databases. • Proficiency in Python for pipeline development, scripting, and tooling. • Experience building ETL/ELT pipelines that consolidate data from multiple source systems (SaaS APIs, event streams, databases). • Experience working within GCP or a comparable cloud ecosystem. • Ability to design data models that are clean, performant, and usable by non-engineers.

🏖️ Benefits

• Offers Equity