Senior Data Engineer – Palantir Foundry

Objectways; Arizona; On-site; USD 100,000 - 130,000; Full time

Job summary

Objectways is seeking a Senior Data Engineer located in Arizona to design, build, and operate data pipelines with hands-on experience in Palantir Foundry. The role involves end-to-end ownership of pipelines and collaboration with various stakeholders to deliver governed data products. Successful candidates will have 5-6 years of experience in data engineering, strong skills in Python, PySpark, SQL, as well as experience with AWS, Azure, or GCP. Familiarity with data quality frameworks is also essential.

Qualifications

• 5–6 years of professional data engineering experience.
• Strong Python, PySpark, and SQL skills with proven performance tuning.
• Solid grasp of dimensional modeling and data quality frameworks.

Responsibilities

• Build scalable Foundry pipelines using PySpark, Python, and SQL.
• Model and maintain Ontology objects for business entities.
• Integrate Foundry with upstream sources and downstream consumers.

Skills

Python

PySpark

SQL

AWS

Azure

GCP

Git

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

This position is open to US Citizens or Green Card holders.

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.