Delivery Engineer, Data, Americas

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

About Hilbert

Hilbert is a scalable, data science-first growth engine 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.

From Fortune 10 enterprises to beloved brands like FreshDirect, Blank Street, and Levain Bakery, operators run their growth on Hilbert. We’re also co‑building alongside leading AI companies.

The Mission: Turn Ground Truth Into Growth
Hilbert has two parts: a data foundation that gives our AI agents a high‑fidelity view of each business, and an agentic web app where growth teams find and act on insights. The scores and audiences you build feed both: our agents reason with them, and our activation sends them into paid media and CRM.

The hard problem

The challenge isn’t moving rows; it’s reasoning consistency. Our AI must produce the same high‑quality insights wherever the data lives, from data that is different at every customer. We want every pod to stay lean and efficient across very different customer environments, delivering quality work at startup speed. You focus on delivery; our sales engineers handle pre‑sales. Your work centers on customers in your own region: supporting customers elsewhere is a rare exception, and your global work is mainly staying aligned with Hilbert colleagues in other regions.

What you’ll do

• Data discovery: work with the customer’s engineers to understand their sources, and help build our Data Discovery Agent, which will analyze data, suggest mappings and scaffold first pipelines.
• Canonical modeling: map source data into Hilbert’s unified growth models, and help shape new models for industries we haven’t served yet.
• Hybrid integration: build and run ETL and ELT pipelines through Hilbert’s data orchestration layer, which controls them whether they run on our stack (Dagster, Airbyte, ClickHouse) or natively in the customer’s warehouse.
• AI semantic layer: define the metadata, metrics and business logic in our semantic layer, built on Cube (cube.dev), that let our agents understand custom data without hallucinating.
• Secure integration: connect Hilbert and the customer’s cloud with least‑privilege access and private connectivity.
• Data quality: own monitoring and quality checks until the deployment is production‑ready, and keep it healthy.
• Productization: turn repeated work into product with our product engineering team.

Who you are

• The translator: you earn the trust of a customer’s data architect quickly and turn the logic of their custom tables into something our reasoning engine understands.
• The data ontologist: you know AI needs more than a table; it needs context, and you have the discipline to define what the data means.
• The pilot: you’re excited to help build AI agents that take on the heavy lifting of discovery and pipeline scaffolding.
• The systems thinker: you build reusable patterns, tests and automation instead of one‑off pipelines, so a small team can deliver across very different environments without cutting corners.
• The adapter: you’re at home in whatever environment a customer brings, from their cloud and warehouse to their security rules, and you find a working solution quickly.
• Extensive data engineering experience, with expert SQL and data modeling, strong Python, and dbt or Spark.
• Hands‑on with Databricks, Snowflake (including Snowpark) or BigQuery, and ClickHouse, plus an orchestrator such as Dagster or Airflow.
• Working knowledge of cloud IAM and networking on AWS, Azure or GCP.
• Comfortable working in a distributed team across time zones.
• Fluent Spanish for roles based in Latin America.

Nice to have

• ML engineering experience
• DevOps, software architecture and security knowledge
• Growth‑focused data projects experience
• Industry experience such as e‑commerce, retail, fintech, telco and media
• Able to travel to the US when necessary

Why join us

At Hilbert, we move fast, work collaboratively, and give people real ownership over their impact. As a fast‑growing company, there’s no shortage of room to grow — you’ll take on new challenges quickly and shape the path as you go.

Hilbert is an Equal Opportunity Employer. We are committed to building a diverse team and an inclusive culture, and we welcome applicants of all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other status protected by applicable law.