Nscale
Technology
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at Nscale. Skills: Data Engineering, Palantir Foundry, Data Platforms. Design scalable data pipelines. Build scalable data pipelines”
Industry & Context.
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
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