Foundry Data Platform Engineer — Remote & Equity

Nscale; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Base + equity

Remote-friendly, remote-first

Annual reviews

Job summary

Nscale is seeking a Data Engineer to design, build, and operate the data foundations that underpin our platform, internal operations, and customer-facing capabilities.

This is a high-impact, early-stage role where you’ll work with Operations, Infrastructure, Platform Engineering, Product, and Commercial teams to turn raw signals into reliable, scalable data products that influence product decisions, platform reliability, and customer outcomes.

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 experience applying data engineering libraries and frameworks (e.g. Spark, PySpark, Dask, pandas) to work with large datasets.
• Practical experience with API-driven data integration (REST, GraphQL, Foundry APIs) and Git-based development workflows.

Responsibilities

• Design and build scalable data pipelines ingesting data from infrastructure, platform services, and business systems.
• Define data models and schemas to support workflows, monitoring, and analytics.
• Create trusted datasets and metrics powering internal tools and customer-facing insights.
• Collaborate with Product and Commercial teams to translate questions into data solutions.
• Establish data quality, lineage, and governance across systems.

Skills

Palantir Foundry

Python

API-driven data integration

Git-based development workflows

Data modelling

Data platforms

Cloud platforms

Tools

Spark/PySpark/Dask

Pandas

REST/GraphQL APIs

CI/CD pipelines

Job description

Nscale is seeking a Data Engineer to design, build, and operate the data foundations that underpin our platform, internal operations, and customer-facing capabilities.

This is a high-impact, early-stage role where you’ll work with Operations, Infrastructure, Platform Engineering, Product, and Commercial teams to turn raw signals into reliable, scalable data products that influence product decisions, platform reliability, and customer outcomes.