Data Engineering & Pipeline Development

Build and maintain scalable data pipelines using Palantir Foundry (Code Repositories, Pipelines, Ontology)

Perform data ingestion, transformation, and integration from multiple sources

Ensure data quality, integrity, and reliability across datasets

Foundry Platform Development

Develop and manage workflows using Foundry tools (Pipeline Builder, Code Workbook, Workshop Apps)

Implement business logic using Python, SQL, or PySpark

Work with Foundry Ontology to model business entities and relationships

Application Development

Build user-facing applications using Foundry Workshop

Create dashboards and analytics for business users

Enable real-time or near-real-time insights

Collaboration & Stakeholder Management

Collaborate closely with business teams to understand requirements

Translate business problems into data solutions

Provide technical guidance on best practices

Performance Optimization

Optimize data pipelines for performance and scalability

Monitor jobs and troubleshoot failures

Implement efficient data models

Technical Skills

Hands-on experience with Palantir Foundry (mandatory for mid/senior roles)

Strong SQL skills and experience with relational databases

Proficiency in Python / PySpark / Spark

Experience with ETL/ELT pipeline design

Knowledge of data modeling concepts

Platform Knowledge

Foundry components:

Code Repositories

Ontology

Pipeline Builder

Workshop / Slate / Quiver

Familiarity with distributed data processing

General Skills

Strong problem-solving skills

Ability to work in agile environments

Good communication and stakeholder engagement

Technology->Data Engineering->Palantir Foundry

Experience with big data technologies (Hadoop, Spark, Kafka)

Knowledge of cloud platforms (AWS, Azure, GCP)

Experience in data governance and security

Prior consulting or client-facing experience