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Foundry Engineer
Weekday (YC W21). Design, build, and maintain scalable data pipelines and data transformation workflows using Palantir Foundry .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining scalable data pipelines and transformations using Palantir Foundry, Python, and SQL. Proficient in data integration, quality assurance, and collaboration with cross-functional teams to deliver robust data solutions.
Highest-signal resume keywords
Palantir Foundry DevelopmentPython ProgrammingSQL ProficiencyData Pipeline ConstructionData Quality Assurance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data TransformationPySparkSparkData IntegrationAPIsRelational DatabasesData ModelingData GovernanceTroubleshootingAI/ML Integration
Soft Skills
Analytical SkillsProblem-Solving Skills
Tools & Technologies
Palantir AIPFoundry WorkshopAWSAzureGoogle Cloud PlatformCI/CDCode RepositoriesPipeline BuilderOntology Manager
Industry Keywords
Enterprise Data SolutionsAI-Powered WorkflowsProduction SupportData Quality ChecksLarge-Scale Data Processing
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPySparkPythonReactSparkSQLTypeScript
About the role
Key responsibilities & impact- Design, build, and maintain scalable data pipelines and data transformation workflows using Palantir Foundry
- Develop data ingestion and integration solutions connecting databases, APIs, cloud platforms, and enterprise applications
- Write and optimize data transformations using Python, SQL, PySpark, or Spark
- Design and maintain Palantir Foundry Ontologies, including objects, relationships, actions, and functions
- Build operational applications, dashboards, and business workflows using Foundry Workshop and relevant application development tools
- Integrate AI/ML capabilities and LLM-powered workflows using Palantir AIP, where applicable
- Implement data quality checks, validation, monitoring, access controls, and governance practices
- Troubleshoot pipeline failures, data inconsistencies, and application performance issues
- Collaborate with data engineers, software engineers, architects, and business stakeholders to deliver end-to-end solutions
- Maintain technical documentation, version control, testing standards, and production deployment processes
Requirements
What you’ll need- 3+ years of relevant experience
- Hands-on experience with Palantir Foundry in a development or implementation role
- Strong programming skills in Python and SQL
- Experience building data pipelines and performing complex data transformations
- Knowledge of PySpark/Spark and large-scale data processing
- Practical understanding of Foundry Ontology, including data modeling, objects, links, actions, and functions
- Experience with data integration, APIs, relational databases, and structured or unstructured data
- Understanding of data quality, testing, troubleshooting, and production support
- Strong analytical and problem-solving skills
- Preferred: Experience with Palantir AIP, LLM integration, AI agents, or AI-powered enterprise workflows
- Preferred: Exposure to AWS, Azure, or Google Cloud Platform
- Preferred: Experience with Foundry Workshop, Code Repositories, Pipeline Builder, and Ontology Manager
- Preferred: Familiarity with TypeScript, React, REST APIs, CI/CD, and software development best practices
- Preferred: Experience delivering enterprise data or AI solutions in production environments
- Candidates should clearly mention their hands-on Palantir Foundry experience, relevant projects, technical skills, notice period, and availability