Data Engineer (Foundry) — Build Scalable Data Pipelines

Ontologize, Inc.; New York (NY); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive base + equity package

Annual reviews

Fast-growing tech startup environment

Flexible progression plan

Job summary

Nscale is hiring a Data Engineer to design, build, and operate data foundations powering its AI-focused platform. This high-impact, early-stage role collaborates with Operations, Infrastructure, Platform Engineering, Product, and Commercial teams to turn raw signals from GPUs, clusters, customers, and internal systems into scalable data products.

You will help define data collection, modeling, serving, and trust across the company, with opportunities to work on Palantir Foundry and other

Qualifications

• Deep hands-on experience building in Palantir Foundry, including ontology modelling, pipeline development, API integration, and large-scale data platform design.
• Strong proficiency in Python with data engineering libraries and frameworks (Spark, PySpark, Dask, pandas) for large datasets.
• Familiarity with API-driven data integration (REST, GraphQL, Foundry Action APIs).
• Practical experience with Git-based development workflows, including code reviews, version control, and CI/CD pipelines.

Responsibilities

• Design and build scalable, reliable data pipelines from infrastructure, platform services, and business systems.
• Define data models and schemas supporting workflows, monitoring, and analytics.
• Clean, transform and structure data to create a digital twin of Nscale.
• Implement data access controls and governance for Foundry.

Skills

Palantir Foundry

Python

Spark

PySpark

Dask

pandas

API-driven data integration

REST

GraphQL

Foundry Action APIs

Git

CI/CD

AWS

GCP

Azure

Tools

Palantir Foundry

Job description

Nscale is hiring a Data Engineer to design, build, and operate data foundations powering its AI-focused platform. This high-impact, early-stage role collaborates with Operations, Infrastructure, Platform Engineering, Product, and Commercial teams to turn raw signals from GPUs, clusters, customers, and internal systems into scalable data products.

You will help define data collection, modeling, serving, and trust across the company, with opportunities to work on Palantir Foundry and other