Palantir Data Engineer

CloudHive; United States; Remote; USD 138,000 - 172,000; Full time

Job summary

CloudHive is seeking a remote Platform and Data Engineer to advance a large ontology and data pipeline ecosystem. You will own ingestion from the operational system, CRM and external feeds, and develop transformations, rules and agents within Palantir Foundry.

You will also design APIs, build bespoke applications, and implement robust data quality guardrails, performance optimisations, and on-call incident support, all within an AI-driven, integrated Foundry environment.

Qualifications

• Proficiency with Python, PySpark, SQL and TypeScript.
• Experience building data platforms with ontology modelling.
• Proven ability to ingest and transform data from multiple sources.
• Familiarity with data quality, monitoring and performance tuning.

Responsibilities

• Develop and extend an ontology modelling organisations, products, offers and demand.
• Ingest from operational systems, CRM and external feeds; build pipelines and automations.
• Implement data quality guardrails and monitoring against SLAs.
• Tune performance via indexing, materialisation and caching.
• Support incident resolution for pipelines and on-call tasks.
• Design APIs and applications to surface Foundry data in the internal platform.

Skills

Python

PySpark

SQL

TypeScript

Tools

Palantir Foundry

Microsoft SQL Server

Azure SQL

Jira

Confluence

Foundry APIs

Job description

Location: Remote

Contract: 12 months initial C2H

Rate: $100 - $125 per hour

Disclaimer: Candidates must be authorized to work in the United States without the need for current or future visa sponsorship

Technology Environment

• Palantir Foundry: Ontology, Code Repositories, Pipeline Builder, AIP Logic and the Ontology SDK
• Data: Microsoft SQL Server and Azure SQL
• Languages: Python, PySpark, SQL and TypeScript
• AI-first development, with a large language model integrated directly into Foundry for agent-driven engineering
• Bespoke React applications, plus Foundry-backed APIs serving the company’s internal web platform
• Integrations with the core operational system, a CRM platform and third-party vendor APIs
• Planning and documentation: Jira and Confluence

Platform and Data Engineering

• Develop and extend a large ontology modelling organisations, products, commercial offers and market demand
• Add new object types, properties and links as data requirements evolve
• Own ingestion from the operational system, SQL estate, CRM and external vendor feeds, plus the transformations, pipelines and automations built on top
• Put data quality guardrails in place, including expectations that stop a failing build, freshness monitoring against agreed service levels, and tests that catch subtle issues early
• Optimise performance through query tuning, indexing, materialisation choices and caching
• Support incident resolution when pipelines or write-backs fail, which may include a share of on-call cover

Writing Back to the System of Record

• Build and maintain the flow of Foundry outputs back into the primary operational system, including scores, enriched attributes, de-duplicated entities and operational flags
• Design for safe retries and conflict management
• Reconcile records when the two systems drift apart

APIs, Applications and AI

• Design the APIs that surface Foundry data in the internal web platform, covering contracts, versioning and the response times an interactive front end needs
• Build custom applications, with limited reliance on Workshop
• Develop AIP Logic functions and agentic workflows that reason over the ontology and take action, such as sorting incoming customer requests, detecting pricing trends and highlighting unusual activity
• Maintain the agent tooling the engineering team relies on, including instructions, tool integrations and validation of agent output