Nscale

Technology

DataEngineer

$125–175k ~AI est. New York, New York, United States Remote Friendly
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 pipelines, Data modelling. Design scalable data pipelines. Build scalable data pipelines”

Industry & Context.

Technology
Problems you'll solve

Troubleshooting

What They're Looking For.

Must Have

Deep, hands-on experience building in Palantir Foundry, Proficiency in Python, Experience applying data engineering libraries, Practical experience working in Git-based development workflows, Comfort working in ambiguous, early-stage environments, Clear communication skills

Nice to Have

Experience with cloud platforms, Familiarity with infrastructure telemetry, Familiarity with distributed systems, Familiarity with monitoring data, Familiarity with usage-based billing data, Experience supporting customer-facing data products, Experience supporting customer-facing platforms

What You'll Do.

Design scalable data pipelines

Build scalable data pipelines

Ingest data from infrastructure

Ingest data from platform services

Ingest data from business systems

Implement permissioning

Create trusted datasets

Create trusted metrics

Enable self-serve analytics

Establish data contracts

Establish data 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 into solutions

Implement data quality checks

Implement data monitoring

Implement data alerting

Codify data freshness

Codify data consistency

Establish data versioning best practices

Establish access control 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 decision-making

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

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 a

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