Hybrid Data Engineer – AI-Powered Enterprise Integrations

Hilbert's AI

San Francisco (CA)

On-site

USD 150,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Equity
Performance bonuses

Job summary

Hilbert's AI in San Francisco is building a scalable AI Growth Engine that gives real-time visibility into revenue drivers. We seek a Forward Deployed Data Engineer to architect bridges between ClickHouse, Snowflake/BigQuery, and customer warehouses, ensuring high-fidelity insights across environments.

You will define metadata and mappings, build an agentic data discovery workflow, and drive the canonical data models that power our ML systems for enterprise customers.

Qualifications

  • Strong experience integrating ClickHouse, Snowflake, and BigQuery in production.
  • Ability to define semantic layers and canonical data models.
  • Experience building agentic data discovery and pipeline scaffolding.
  • Enterprise deployment experience with data governance.

Responsibilities

  • Hybrid Integration: own deployment path between Managed Clickhouse and Warehouse-Native.
  • Accelerated Onboarding: leverage Discovery Agent to create reports and mappings.
  • AI Semantic Layer Construction: architect semantic definitions for custom enterprise data.
  • Canonical Modeling: transform diverse source data into Hilbert unified growth models.
  • Enterprise Deployment: lead technical resources for large-scale implementations.

Skills

Clickhouse
Snowpark
BigQuery SQL
Python
Data modeling
E-commerce knowledge

Tools

Dagster
Airbyte
dbt
Cube
MetricQL

Job description

Hilbert's AI in San Francisco is building a scalable AI Growth Engine that gives real-time visibility into revenue drivers. We seek a Forward Deployed Data Engineer to architect bridges between ClickHouse, Snowflake/BigQuery, and customer warehouses, ensuring high-fidelity insights across environments.

You will define metadata and mappings, build an agentic data discovery workflow, and drive the canonical data models that power our ML systems for enterprise customers.

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