Senior Data Engineer — Foundry Pipelines & Ontology

Objectways

Phoenix (AZ)

On-site

USD 120,000 - 160,000

Full time

30 hours ago
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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

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

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