Data Engineer – AI Platform & Foundry (Remote)

Nscale; United States; Remote; USD 130,000 - 160,000; Full time

Benefits offered by this job

Base + equity

Remote-first team

Flexible PTO

Career growth

Medical, dental, vision

Job summary

Nscale is seeking a Data Engineer to design, build, and operate data foundations powering its AI-driven GPU cloud. This early-stage role blends infrastructure, product, and analytics work to turn raw signals into scalable data products.

You’ll own data models, pipelines, and governance, collaborating with Operations, Platform Engineering, and Commercial teams to deliver reliable data solutions and enable rapid decision-making in a remote-first environment.

Qualifications

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

Responsibilities

• Design and maintain scalable data pipelines ingesting data from infrastructure, platforms, and business systems.
• Define data models and schemas to support workflows, monitoring, and analytics.
• Build trusted datasets and metrics for internal tools and customer-facing insights.
• Collaborate with product and commercial teams to translate questions into data solutions.

Skills

Python

Data modeling

Communication

Ownership

Ambiguity tolerance

Tools

Palantir Foundry

Spark

PySpark

Dask

pandas

REST

GraphQL

Foundry Action APIs

Git

CI/CD

Job description

Nscale is seeking a Data Engineer to design, build, and operate data foundations powering its AI-driven GPU cloud. This early-stage role blends infrastructure, product, and analytics work to turn raw signals into scalable data products.

You’ll own data models, pipelines, and governance, collaborating with Operations, Platform Engineering, and Commercial teams to deliver reliable data solutions and enable rapid decision-making in a remote-first environment.