Nscale

Technology

DataEngineer

$130–160k Seattle, Washington, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Engineer at Nscale. Skills: Data Engineering, Palantir Foundry, Data Platforms. Design scalable data pipelines. Build scalable data pipelines”

Industry & Context.

Technology

What They're Looking For.

Must Have

5+ years Python, Palantir Foundry experience, Git-based development workflows, Python data engineering libraries

Nice to Have

Cloud platforms experience, Infrastructure telemetry experience, Distributed systems experience, Monitoring data experience, Usage-based billing data experience, Customer-facing data products experience

What You'll Do.

Design scalable data pipelines

Build scalable data pipelines

Operate data foundations

Ingest data from systems

Implement permissioning

Manage Foundry access

Manage Foundry security

Create trusted datasets

Create trusted metrics

Enable self-serve analytics

Establish data contracts

Establish documentation

Establish semantic layers

Build capacity planning use cases

Build cost optimisation use cases

Build reliability analysis use cases

Build customer reporting use cases

Collaborate with Product teams

Collaborate with Commercial teams

Translate questions to solutions

Implement data quality checks

Implement data monitoring

Implement data alerting

Codify data freshness

Codify data consistency

Establish data versioning best practices

Establish data access best practices

Establish data governance best practices

Improve system resilience

Improve system observability

Take end-to-end ownership

Define data standards

Define data ways of working

Contribute to technical decisions

Act as thought partner

How You'll Work.

Team & Collaboration

Operations teams; Infrastructure teams; Platform Engineering teams; Product teams; Commercial teams; Technical stakeholders; Non-technical stakeholders; Engineers; Operators

Communication Scope

Explain data concepts

Full Job Description

About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future. About the Role (Job Purpose) We’re looking for a Data Engineer to help design, build, and operate the data foundations that underpin Nscale’s platform, internal operations, and customer-facing capabilities. This is a high-impact, early-stage role. You’ll work closely with Operations, Infrastructure, Platform Engineering, Product, and Commercial teams to turn raw operational signals — from GPUs, clusters, customers, and internal systems — into reliable, scalable data products that ensure delivery at a previously unseen pace. You’ll help define how data is collected, modelled, served, and trusted across the company, and have the opportunity to build on Palantir Foundry, as well as other products. This role is ideal for someone who enjoys building data systems from first principles, thrives in ambiguous environments, and wants to see their work directly influence product decisions, platform reliability, and customer outcomes. What You’ll be Doing (Responsibilities) Data Platform & Architecture ● Design and build scalable, reliable data pipelines that ingest data from infrastructure, platform services, and business systems. ● Define data models and

Free ATS check

Applying for this Data Engineer role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Greenhouse

  • Create a Greenhouse profile before applying — it saves time across multiple applications.
  • Upload your resume as a PDF; the parser handles it better than Word.
  • Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
  • Enable email notifications to track application status in real time.

ANONYMOUS · UNFILTERED

What do employees actually say about Nscale?

Real rants from real employees. Read before you apply.

Read Company Rants →