Data Engineer - Remote, High-Impact AI Platform, Equity

nscaleoperationsukltd; Stati Uniti; Remoto; USD 130.000 - 195.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote-friendly

Equity

Career progression

Descrizione del lavoro

nscaleoperationsukltd is seeking a data engineer to build the data foundations for an AI-focused GPU cloud platform. You will work across operations, infrastructure, platform engineering, product, and commercial teams to shape how data is collected, modelled, served, and trusted.

Responsibilities include designing scalable pipelines, modelling data schemas, implementing security, and delivering trusted datasets for internal tools and customer insights.

Competenze

• Experience building on enterprise data platforms (e.g., Palantir Foundry) including ontology modelling and large-scale pipeline design.
• Strong Python skills with Spark, PySpark, Dask, or pandas for large datasets.
• Familiarity with API-driven data integration (REST, GraphQL, action-style APIs).
• Experience with Git-based development workflows, reviews, version control, and CI/CD pipelines.

Mansioni

• Design and build scalable data pipelines ingesting from infrastructure, platform services, and business systems.
• Define data models and schemas to support workflows, monitoring, and analytics.
• Clean, transform, and structure data for platform operations and insights.
• Implement data access controls, permissions, and security for the data platform.
• Create trusted datasets and metrics powering internal tools and self-serve analytics.
• Establish data quality checks, monitoring, lineage, and governance in a fast-scaling environment.

Conoscenze

Palantir Foundry ontology modelling

Python data engineering (Spark PySpark

API data integration REST GraphQL

Git CI/CD workflows

Data governance & security

Stakeholder communication

Strumenti

Git

CI/CD tooling

Descrizione del lavoro

nscaleoperationsukltd is seeking a data engineer to build the data foundations for an AI-focused GPU cloud platform. You will work across operations, infrastructure, platform engineering, product, and commercial teams to shape how data is collected, modelled, served, and trusted.

Responsibilities include designing scalable pipelines, modelling data schemas, implementing security, and delivering trusted datasets for internal tools and customer insights.