Foundry Data Engineer

Vivid Resourcing; United States; On-site; USD 90,000 - 140,000; Full time

Job summary

Vivid Resourcing is seeking a junior to mid-level Foundry Data Integrations Engineer to join a client building centralized Palantir Foundry capabilities for enterprise-wide data ingestion across manufacturing, supply chain, finance, and corporate operations. You’ll build ingestion pipelines, develop SQL transformations and connect diverse sources into scalable analytics datasets.

The role requires 1+ year Palantir Foundry experience, 2+ years in Data Engineering or ETL, Python and Spark SQL, API

Qualifications

• 1+ year of Palantir Foundry experience.
• 2+ years within Data Engineering or ETL.
• Experience building data pipelines and integrations.
• Python and Spark SQL experience.
• Experience integrating APIs and relational databases.
• Exposure to Excel, CSV and PDF ingestion.
• Comfortable working within Git and Agile environments.

Responsibilities

• Build and maintain data ingestion pipelines within Palantir Foundry.
• Develop SQL transformations and optimize ingestion performance.
• Connect enterprise systems using APIs, relational databases, spreadsheets and flat files.
• Create scalable source-to-prepared datasets.
• Build REST API and JSON integrations.
• Support webhook and event-driven ingestion patterns.
• Monitor pipeline health, schema changes and data quality.
• Troubleshoot ingestion failures and connectivity issues.
• Work closely with business and technical teams to onboard new data sources.
• Document integrations and operational processes.

Skills

Palantir Foundry

Data Engineering

ETL

Python

Spark SQL

APIs

Relational Databases

Git

Agile

SQL

Tools

Git

Job description

Our client is building a centralized Palantir Foundry capability to accelerate enterprise-wide data integration across manufacturing, supply chain, finance, and corporate operations.

They're looking for a junior to mid-level Foundry Data Integrations Engineer who enjoys building robust ingestion pipelines and connecting complex enterprise data sources into scalable analytics platforms.

What You'll Do:

• Build and maintain data ingestion pipelines within Palantir Foundry
• Develop SQL transformations and optimize ingestion performance
• Connect enterprise systems using APIs, relational databases, spreadsheets and flat files
• Create scalable source-to-prepared datasets
• Build REST API and JSON integrations
• Support webhook and event-driven ingestion patterns
• Monitor pipeline health, schema changes and data quality
• Troubleshoot ingestion failures and connectivity issues
• Work closely with business and technical teams to onboard new data sources
• Document integrations and operational processes

What We\'re Looking For:

• 1+ year of Palantir Foundry experience
• 2+ years within Data Engineering or ETL
• Experience building data pipelines and integrations
• Python and Spark SQL experience
• Experience integrating APIs and relational databases
• Exposure to Excel, CSV and PDF ingestion
• Comfortable working within Git and Agile environments

Nice to Have:

• Manufacturing or supply chain experience
• Experience supporting enterprise production environments