Secret-Cleared Foundry Developer: Data Pipelines & Apps

Apex Systems; Arlington (VA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

401K plan

Employee Stock Purchase Program (ESPP)

HSA health savings account

EAP and counseling services

Job summary

Everforth Apex is seeking a Foundry Developer in Arlington, VA to build Palantir Foundry and Army Vantage applications. You will create data pipelines, develop workshop apps, and extend the Ontology to support operational users. Strong Python/PySpark skills and a secret clearance are required, with a track record of delivering low-code/no-code modernization efforts.

The role emphasizes data health, governance, and collaboration in a fast-paced team. U.S.

Qualifications

• Minimum 4 years of related technical experience.
• Experience with Palantir Foundry and Army Vantage.
• Proficiency with Python and PySpark.
• Understanding of Ontology concepts (object types, links, actions).
• Experience building data pipelines and data workflows.
• Familiarity with ML frameworks (PyTorch, TensorFlow).
• Experience with data modeling and pipeline orchestration in Vantage/ADVANA.

Responsibilities

• Must be able to obtain and maintain a secret clearance.
• Build Foundry Workshop applications.
• Create data pipelines using Code Repositories or Pipeline Builder, including incremental transforms and scheduling.
• Develop and extend the Ontology with object types, link types, and action types.
• Connect data sources to applications to support operational users.
• Maintain data health and lineage using expectations and checks.
• Implement security and governance through markings, restricted views, and mandatory controls.
• Read, debug, and write Python and PySpark for data engineering workflows.

Skills

Palantir Foundry

Army Vantage

Python

PySpark

Ontology

Data pipelines

ML frameworks

Data modeling

Tools

Workshop development

Job description

Everforth Apex is seeking a Foundry Developer in Arlington, VA to build Palantir Foundry and Army Vantage applications. You will create data pipelines, develop workshop apps, and extend the Ontology to support operational users. Strong Python/PySpark skills and a secret clearance are required, with a track record of delivering low-code/no-code modernization efforts.

The role emphasizes data health, governance, and collaboration in a fast-paced team. U.S.