Data Engineer (Palantir Foundry)

TL;DR

Data Engineer (Palantir Foundry): Designing and building scalable data foundations for a GPU cloud platform with an accent on ontology modeling, pipeline development, and API integration. Focus on creating reliable data products that power operational workflows, capacity planning, and customer-facing insights in an early-stage environment.

Location: Must be based in the US

Company

hirify.global is a GPU cloud infrastructure provider engineered for AI start-ups and large enterprises.

What you will do

• Design and build scalable data pipelines to ingest infrastructure and business system data.
• Define data models and schemas to support operational workflows and analytics.
• Implement permissioning and manage security for the Palantir Foundry implementation.
• Create trusted datasets and metrics to enable self-serve analytics across the organization.
• Establish data quality checks, monitoring, and alerting to ensure data reliability.
• Codify data lineage and governance practices for a fast-scaling platform.

Requirements

• Deep hands-on experience with Palantir Foundry, including ontology modeling and pipeline development.
• Strong proficiency in Python with experience using Spark, PySpark, Dask, or pandas.
• Familiarity with API-driven data integration (REST, GraphQL, Foundry Action APIs).
• Practical experience with Git-based workflows, code reviews, and CI/CD pipelines.
• Ability to thrive in ambiguous, early-stage environments.
• Must be based in the US.

Nice to have

• Experience with cloud platforms (AWS, GCP, Azure) and infrastructure telemetry.
• Familiarity with distributed systems, monitoring data, or usage-based billing.
• Experience supporting customer-facing data products.

Culture & Benefits

• Competitive compensation package including base salary and equity.
• Performance reviews every 12 months.
• Remote-first team culture with high autonomy and flexibility.
• Opportunity to work at a fast-growing AI-focused startup.
• Dynamic progression plan tailored to individual ambitions.

Hiring process

• Phone screen.
• Coding interviews.
• Hiring Manager interview.