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Forward Deployed Data Engineer (Integration)
Hilbert's AI
- United States
- United States
Über
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.
We're looking for a Forward Deployed Data Engineer who can bridge the gap between our customers' messy data ecosystems and Hilbert's AI Growth Engine. This isn't a "ticket-taker" role. You are the architect of the bridge. You will own the entire integration lifecycle from the first technical discovery call with a mid-market retailer to deploying custom stacks within a massive enterprise's own infrastructure.
You'll be the one listening to the customer, mapping their unique data schemas to our canonical models, and ensuring that when our AI/ML models "wake up," they have a clean, high-fidelity view of the business.
THE ROLE The "Translator" Ability:
You can speak "Engineer" and "Business" equally well. You can extract the logic of a custom dimension table from a customer who doesn't have documentation. Architecture Mindset:
You understand the difference between a quick-and-dirty batch sync and a robust, incremental pipeline. Tech Proficiency:
Deep experience in
Python
and
SQL . You've ideally worked with modern orchestration ( Dagster , Airflow) and ingestion tools ( Airbyte , Fivetran). Adaptability:
You are comfortable working with
MongoDB
and
Clickhouse , but you don't blink if a customer asks you to deploy on their specific cloud infra. Availability:
You are based in or aligned with US timezones and are ready to hop on a plane for an enterprise site visit when the stakes are high. WHAT YOU WILL DO
Own the technical onboarding for new customers, transforming source data into Hilbert's canonical models. Design and implement incremental syncs for massive fact tables and full syncs for dimensions. Navigate enterprise-level complexity: custom data models, on-prem/private cloud deployments, and unique security requirements. Collaborate with the AI/ML team to ensure the data pipelines provide the exact context needed for agentic flows and insights. Build the "Last Mile": Making sure the deployment of your customer is successful and the portal is setup and ready to be used by them. Bonus Points Experience in
E-commerce or Retail
sectors (understanding what a "SKU" or "Attribution Window" is without being told). Experience with product event usage data. Working with Data Scientists or ML Engineers Experience integrating B2B solutions for enterprise companies Having Fullstack Software Development skills Having experience with multiple different cloud infra providerse care about how you think and how you ship - not how many years are on your resume.
Location San Francisco, with occasional travel for team meets, offsites or customer engagements. Compensation Competitive salary + equity package, commensurate with experience. Performance-based bonuses tied to project milestones and customer impact. The Hiring Journey Short form → Intro call → Technical working session → Team conversations → Offer Fast, human, no bureaucracy.
Sprachkenntnisse
- English
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