Data Engineer, Palantir Foundry

Objectways; Phoenix (AZ); On-site; USD 130,000 - 170,000; Full time

Job summary

Objectways is seeking a Senior Data Engineer in the United States (Phoenix area) to design, build, and operate production pipelines and ontologies with Palantir Foundry. You will 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.

You will mentor engineers, implement robust data quality checks, and ensure compliance with the security model across projects using Foundry RBAC.

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.

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 (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.

Skills

Python

PySpark

SQL

Spark performance tuning

Dimensional modeling

Data quality frameworks

AWS/Azure/GCP

Git-based workflows

CI/CD

Palantir Foundry

Tools

Palantir Foundry

Workshop

Quiver

Contour

Git

CI/CD tooling

AWS

Azure

GCP

Job description

Senior 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.