Senior Data Engineer- Palantir Foundry

Parts Town • Addison, IL

13h • $115,754 - $156,214 • Hybrid

About The Position

The Senior Data Engineer – Palantir Foundry is a hands-on engineer responsible for building, curating, and operationalizing data pipelines, ontologies, and applications within Palantir Foundry. This role partners closely with the Principal Data & Semantic Architect, GCP Data Engineering teams, and business stakeholders to turn enterprise data into trusted analytics, workflows, and AI-enabled use cases.

Requirements

• You have 5+ years of experience in data engineering, analytics engineering, or platform engineering roles.
• You demonstrate h ands-on experience building pipelines and transformations using Python, PySpark, and SQL.
• You have e xperience working with modern data platforms and analytics tools.
• You have a s trong proficiency in Python / PySpark and SQL.
• You’re experienced with Palantir Foundry (pipelines, ontology, apps) or strong ability to ramp quickly.
• You’re familiar with cloud data warehouses such as BigQuery or equivalent.
• You have an u nderstanding of data quality, lineage, and access control concepts.

Responsibilities

• Palantir Foundry Engineering Design, build, and maintain data pipelines in Palantir Foundry, using Pipeline Builder and Code Repositories (Python / PySpark / SQL).
• Implement and extend ontology objects (entities, attributes, relationships, metrics) as defined by the Principal Data & Semantic Architect.
• Map curated datasets into ontology-backed objects for reuse across analytics, applications, and workflows.
• Ensure data quality, lineage, permissions, and reliability of Foundry datasets and objects.
• Build and support Foundry applications, operational workflows, and analytical views that leverage ontology-backed data.
• Partner with analytics and business teams to translate requirements into performant Foundry implementations.
• Support AI- and decision-oriented use cases by preparing ML-ready and feature-aligned datasets within Foundry.
• Work closely with GCP Data Engineers to align Foundry pipelines with upstream ingestion and transformation patterns.
• Collaborate with integration teams to ensure consistent sourcing from SAP, WMS, e-commerce, CRM, and third-party systems.
• Follow clean-core and platform governance principles when integrating SAP and other enterprise systems.
• Adhere to enterprise data governance, security, and privacy standards within Foundry.
• Participate in code reviews, testing, and release processes to ensure production readiness.
• Monitor and troubleshoot data pipeline failures and performance issues.
• Contribute to documentation and knowledge sharing across the Data & AI team.

Benefits

• Quarterly profit-sharing bonus
• Hybrid Work schedule
• Team member appreciation events and recognition programs
• Volunteer opportunities
• Monthly IT stipend
• Casual dress code
• On-demand pay options: Access your pay as you earn it, to cover unexpected or even everyday expenses
• All the traditional benefits like health insurance, 401k/401k match, employee assistance programs and time away – don’t worry, we’ve got you covered.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees