Data Delivery Engineer for AI-Driven Growth

Hilbert; United States; Hybrid; USD 140,000 - 190,000; Full time

Job summary

Hilbert is hiring data engineering experts to implement scalable data discovery, canonical modeling, and hybrid ETL pipelines for diverse customer environments. You will shape the data meaning and integrate data across cloud warehouses with a focus on reliable, low-latency insights for AI agents.

You will own data quality, build reusable patterns, and collaborate across regions to deliver consistent, high‑fidelity growth insights for B2C teams.

Qualifications

• Extensive data engineering experience with expert SQL and data modeling.
• Strong Python experience and dbt or Spark for modeling pipelines.
• Experience with Databricks, Snowflake/Snowpark, or BigQuery; visualized data in a modern warehouse.
• Hands-on in cloud IAM and networking across AWS, Azure or GCP.
• Familiar with orchestration tools like Dagster or Airflow.
• Able to travel to US when necessary and work across time zones.

Responsibilities

• Collaborate with customer engineers to understand sources and map data to Hilbert models.
• Build and run ETL/ELT pipelines across environments and warehouses.
• Define metadata, metrics and business logic in a semantic layer using Cube.dev.
• Maintain data quality and monitor deployments for production readiness.
• Translate customer data into actionable insights for our AI agents.
• Productize repeatable work with the product engineering team.

Skills

SQL

Python

dbt

Spark

Databricks

Snowflake

BigQuery

Airflow

Dagster

Data modeling

ETL/ELT

Cloud IAM

Networking

Spanish (Latin America)

Distributed systems

Education

Bachelor's degree in Computer Science or related field

Tools

Dagster

Airflow

Snowpark

Snowflake

BigQuery

ClickHouse

Databricks

Cube.dev

Job description

Hilbert is hiring data engineering experts to implement scalable data discovery, canonical modeling, and hybrid ETL pipelines for diverse customer environments. You will shape the data meaning and integrate data across cloud warehouses with a focus on reliable, low-latency insights for AI agents.

You will own data quality, build reusable patterns, and collaborate across regions to deliver consistent, high‑fidelity growth insights for B2C teams.