# Forward Deployed Data Engineer (Integration) at Hilbert's AI

- Company: Hilbert's AI
- What the company does: Hilbert is a scalable, data science-first growth infra that gives B2C teams predictive clarity into user behavior, revenue drivers, and the actions that drive sustainable growth. Fully agentic by design, Hilbert shrinks months-long decision cycles to minutes. Backed by a16z.
- Company website: https://hilberts.ai
- Type: Startups (AI role)
- Level: Mid level
- Location: Türkiye
- Work setup: Remote
- Posted: 2026-06-23
- Apply by: 2026-10-12
- Apply: https://jobs.ashbyhq.com/hilberts/d6c4e0fd-9fa9-4d1e-a872-5935310a6db1
- Page: https://www.1752.vc/careers/jobs/hilbert-s-ai-forward-deployed-data-engineer-integration-2/

## About the role

The challenge isn't just moving rows; it’s ensuring "Reasoning Consistency." You are responsible for making sure our AI produces the same high-quality insights regardless of where the data resides. The Dual-Track Challenge: We are building a system that can either pipe data into our Clickhouse stack using Dagster and Airbyte , or execute "Zero-Extract" transformations natively in the customer's warehouse. You’ll need to master both worlds.

## What they're looking for

- The Pragmatic Polyglot: You are equally comfortable optimizing a Clickhouse query as you are writing native Snowpark (Snowflake) or BigQuery SQL and comfortable implementing data orchestration scripts using python
- The Data Ontologist: You understand that an AI needs more than just a table, it needs context . You have the discipline to define the "meaning" behind the data
- The "Translator": You can earn technical trust with a customer's Data Architect in minutes, extracting the logic of custom tables and mapping them to Hilbert reasoning engine
- The "Pilot" Mindset: You are excited to use and improve AI agents that handle the heavy lifting of data discovery and pipeline scaffolding

Tags: Engineering