Palantir Foundry Engineer / Data Platform Engineer

Job Title: Palantir Foundry Engineer / Data Platform Engineer
Job Location: Rosemead, CA (Hybrid - Tue & Wed Onsite)
Job Duration: 12 Months (possibility of extension)
Payrate: $61.29 - $70.68/ hr. on w2

Day-to-Day Responsibilities / Workload

• Provide ongoing operational support for the Grid Resiliency portfolio, managing PSPS application build in Palantir Foundry
• Develop high-quality, modular, reusable code within Foundry Code Repositories and Function Repositories
• Implement reusable transform logic and shared libraries
• Manage version control, branching strategies, and code reviews
• Optimize code for Foundry’s distributed execution environment
• Apply best practices for maintainability and long-term reuse
• Implement and configure Palantir software solutions
• Support pipeline and ETL maintenance processes and quality control
• Maintain ontology access, governance, and change management processes
• Configure and integrate SaaS and public cloud-based PaaS solutions
• Develop, configure, integrate, and support application system components including databases, data marts, data warehouses, middleware, analytics, and BI reporting tools
• Provide architectural governance expertise for Foundry including ontology design, pipeline and DAG execution architecture aligned with Client standards
• Support application system configuration and third-party access management
• Develop, enhance, integrate, and maintain workshops, dashboards, pipeline builders, Quiver dashboards, and automations
• Collaborate with infrastructure providers and enterprise public cloud providers
• Support integrated service delivery across planning, delivery, and operational support models
• Perform application maintenance services including enhancements, defect resolution, bug fixes, patch releases, and deployment activities
• Document and maintain methodologies, policies, processes, OLAs, operational models, and RACIs
• Ensure compliance with PSPS wildfire guidelines and CPUC standards
• Support compute agents, hosting infrastructure, and operational services for reliable Foundry operations
• Maintain expertise in ontology design, governance, pipeline architecture, deployment lifecycle management, and integration patterns
• Deliver Agile and DevOps-based application maintenance services
• Optimize application system functionality and operational performance
• Drive application portfolio optimization and rationalization initiatives
• Utilize Foundry Resource Management tools to analyze compute consumption, storage utilization, execution costs, and workload efficiency

Education Requirement

• Bachelor’s Degree.

Required Skills / Attributes

Technical Skills

• Software engineering experience.
• Strong full-stack fundamentals with expertise in data platforms.
• Experience designing and maintaining applications.
• Proficiency in Python and TypeScript.
• Understanding of data pipeline architecture.
• Familiarity with Palantir Foundry.
• Ability to independently own technical outcomes.
• Willingness to participate in on-call rotation and occasional off-hours support.
• Root cause analysis and post-incident improvement experience.
• Front-end design experience (Palantir Foundry Workshop preferred).

Operational Skills

• Experience making architectural trade-off decisions.
• Ability to identify and escalate risks early.
• Strong stakeholder communication skills.
• Ability to work through ambiguous problems in live production environments.
• Experience communicating incident status clearly to stakeholders.
• Ability to make high-stakes decisions under pressure.
• Experience supporting complex operational workflows with tight timelines.

Desired Skills / Attributes

Technical Skills

• Experience in data engineering or related fields.
• Python expertise for data processing and pipeline development.
• Experience with PySpark or Polars.
• Experience with Foundry Pipeline Builder, Code Repositories, and Data Connection.
• Familiarity with ontology design and object-based data modeling.
• Understanding of data lineage and impact analysis.
• Experience troubleshooting pipeline failures and performance issues.
• Ability to translate business logic into pipeline implementations.
• Ability to assess downstream impact of data issues and communicate effectively.

Preferred Experience:

• Utility industry experience.
• Grid resiliency or PSPS-related experience.
• Knowledge of Client's business functions and operational environments.
• Experience supporting enterprise-scale production platforms and cloud environments.