Job description

About the Role

We are looking for a Data Engineer experienced with Palantir Foundry to join a cross-functional team working on large-scale data integration, modeling, and analytics platforms. The ideal candidate is hands-on, proactive, and capable of navigating complex data ecosystems in an enterprise environment.

Key Responsibilities

• Design and build data pipelines and models using Palantir Foundry

• Integrate multiple data sources (structured and unstructured) into usable, high-quality data assets

• Collaborate with data scientists, analysts, and business stakeholders to support advanced analytics initiatives

• Apply data governance, lineage, and cataloging principles within Foundry

• Develop and maintain Foundry “Objects”, Code Workbooks, and other tooling

• Ensure quality, performance, and scalability of the implemented data solutions

• Support and document platform usage and development best practices

Requirements

• 3+ years of experience in Data Engineering

• Hands-on experience with Palantir Foundry in a commercial or enterprise setting

• Proficiency in SQL, Python, and data transformation techniques

• Good understanding of data modeling (dimensional, relational, and graph-based)

• Familiarity with data governance and metadata management

• Experience working in cloud-based environments (AWS, GCP, or Azure)

• Excellent communication skills and ability to work with cross-functional teams

Nice to Have

• Previous experience in highly regulated industries (finance, pharma, defense, etc.)

• Experience integrating Foundry with external tools and systems via APIs

• Knowledge of CI/CD, Git, and software engineering best practices

• Exposure to tools like Airflow, dbt, Databricks, Snowflake, etc.

• Experience with data privacy regulations (GDPR, HIPAA, etc.)