Data Engineer, Palantir Foundry

Objectways; Phoenix (AZ); On-site; USD 120,000 - 160,000; Full time

Job summary

Objectways is seeking a Data Engineer with hands-on Palantir Foundry experience to design, build, and operate production pipelines and ontologies. You’ll own pipelines end-to-end—from ingestion to curated ontology objects—and partner with analysts, data scientists, and business owners to deliver governed data products.

Work authorization requires US citizenship or Green Card. The role focuses on scalable Foundry pipelines, ontology modeling, and governance-aware data engineering across cloud

Qualifications

• 5–6 years of professional data engineering experience.
• Strong Python, PySpark, and SQL with Spark performance tuning.
• Cloud experience with AWS, Azure or GCP and modern data formats.
• U.S. citizenship or Green Card required.

Responsibilities

• Build scalable Foundry pipelines using PySpark, Python, and SQL transforms.
• Model and maintain Ontology objects, links, and actions for core business entities.
• Develop operational apps with Workshop, Quiver, and Contour for end users.
• Integrate Foundry with upstream sources and downstream consumers.
• Implement data quality checks, health monitors, and incremental builds.
• Apply Foundry security model for governance and compliance.
• Mentor engineers on Foundry best practices and pipeline design patterns.

Skills

Palantir Foundry

Python

SQL

PySpark

Data modeling

CI/CD

Data quality

Tools

Foundry

Parquet

Delta Lake

Iceberg

Git

Job description

Data Engineer with hands-on Palantir Foundry experience to design, build, and operate production pipelines and ontologies. You'll own pipelines end-to-end — from raw ingestion to curated ontology objects — and partner with analysts, data scientists, and business owners to deliver governed data products.

Work Authorization:

U.S. Citizens or Lawful Permanent Residents (Green Card Holders) only due to client ITAR requirements

Required qualifications:

• 5–6 years of professional data engineering experience.
• Strong Python, PySpark, and SQL with proven Spark performance tuning.
• Solid grasp of dimensional modeling, incremental processing, and data quality frameworks.
• Experience with AWS, Azure, or GCP and modern formats (Parquet, Delta, Iceberg).
• Comfortable with Git-based workflows and CI/CD.
• Must be a US citizen or Green Card holder. Not eligible for visa sponsorship or transfer.

What you'll do:

• Build scalable Foundry pipelines using PySpark, Python, and SQL transforms.
• Model and maintain Ontology objects, links, and actions for core business entities.
• Develop operational apps with Workshop, Quiver, and Contour for end users.
• Integrate Foundry with upstream sources (DBs, APIs, cloud storage) and downstream consumers.
• Implement data quality checks, health monitors, and incremental builds.
• Apply Foundry's security model — markings, projects, RBAC — for governance and compliance.
• Mentor engineers on Foundry best practices and pipeline design patterns.