Palantir Data Engineer
About The Position
The Palantir Data Engineer will work with technical leads, data engineers, business stakeholders, and client teams to design, develop, and maintain scalable data solutions in the Palantir Foundry platform. In an agile environment, the role transforms complex data into actionable insights that support operational decision-making, program performance, and public health outcomes. The ideal candidate applies data engineering and software development practices to build and optimize data pipelines, workflows, dashboards, and user-facing applications. The role supports enterprise data ingestion, transformation, governance, and visualization, collaborating across technical and functional teams to deliver scalable solutions.
Requirements
- At least 2 years of experience working in a professional technical environment.
- At least 1 year of experience with Palantir Foundry and its applications, including Code Repository, Ontology Manager, and Workshop.
- Experience developing and maintaining data pipelines using Python and PySpark, applying software engineering and data engineering principles in enterprise environments.
- Experience integrating, transforming, and managing large datasets from multiple data sources.
- Experience translating business and customer requirements into scalable technical solutions.
- Experience working in Agile delivery environments and tracking work with tools such as Jira.
- Knowledge of fundamental programming principles, data structures, APIs, or web development concepts.
- Ability to take ownership and work independently to solve complex data challenges.
- Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.
- Bachelor’s degree.
Nice To Haves
- Experience leveraging Palantir Artificial Intelligence Platform (AIP) for large language model (LLM) integration and AI-enabled workflows.
- Experience with JavaScript, TypeScript, HTML, and CSS.
- Experience with statistical programming languages such as R.
- Experience with version control systems, including Git.
- Experience designing operational dashboards, workflow tools, or data-driven applications.
- Experience supporting CDC or public health domain clients.
- Experience with Databricks.
- Knowledge of Agile and Scrum methodologies.
- Strong communication, analytical, and stakeholder engagement skills.
- Palantir Foundry certifications, such as Data Engineer Certification.
Responsibilities
- Design, develop, and maintain scalable data pipelines and workflows in Palantir Foundry using Python, PySpark, TypeScript, and related technologies.
- Import, integrate, clean, standardize, and manage structured and unstructured data from multiple sources, resolving data quality issues.
- Build and maintain reusable code, transformation logic, Ontologies, and operational workflows using Foundry Code Repositories and version control best practices.
- Configure and optimize dashboards, Workshop applications, and visualizations to provide actionable insights and improve business operations.
- Collaborate with cross-functional teams to translate business, functional, and technical requirements into scalable data solutions and platform capabilities.
- Participate in Agile delivery activities, including sprint planning, Scrum ceremonies, Jira tracking, and collaboration with engineering and stakeholder teams.
Benefits
- Health, life, and disability benefits
- Financial and retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
